JP6167833B2 - Information processing apparatus and information processing program - Google Patents

Description

  The present invention relates to an information processing apparatus and an information processing program.

  In Patent Document 1, it is an object to provide a sample content distribution and management method and a system therefor that includes means for reliably preventing overuse when the expiration date has passed. And a rewriting program, and at least a part of it is encrypted to form a capsule. The capsule can be decrypted and the content can be viewed and executed by a dedicated browser built into the computer. Calculates information, restricts browsing and execution of at least part of the content according to the instructions described in the expiration date information file according to the predetermined relationship between the usage record information and the expiration date, and if necessary based on the rewriting program It is disclosed that content is rewritten.

  In Patent Document 2, it is an object to control whether a certain device can execute one or a plurality of functions based on distance-related functions and information associated with two or more devices. Or one or more distance-based functions are used to control whether a device is allowed to request other devices to perform multiple functions, as well as requested by other devices One or more distance-based functions are used to control whether a device may perform one or more functions, and the distance-related functions are one distance between devices, between devices Disclosure that it can take a variety of forms including two or more distances, rate of change in relative distance between devices, relative acceleration between devices, or some combination of two or more of these distance related functions. It has been.

  In Patent Document 3, when a secure information sharing group is formed, it is possible to automatically perform group participation, encryption key distribution and management, and improve user convenience. In a group management system that manages a group in which information devices are connected by wireless communication, the position of each information device is detected by a position detection system, and the information device exists in a predetermined range based on the detection result of the position detection system. If it is determined that it is within a predetermined range, user authentication is performed with the information device. If the authentication is successful, the information device can be used for communication in the group. It is disclosed to notify a secret key and join an information device to a group.

Japanese Patent Laid-Open No. 11-296437 JP 2012-235476 A JP 2006-060589 A

  In the present invention, when a document used for the meeting is decrypted after a predetermined date and time before the meeting start date and time, the decryption of the document is performed even though the participant is not at the meeting place. An object of the present invention is to provide an information processing apparatus and an information processing program that suppress processing.

The gist of the present invention for achieving the object lies in the inventions of the following items.
The invention according to claim 1 is a first accepting means for accepting information indicating the position of a participant of a meeting where a plurality of people gather, and a second accepting means for accepting information on the environment of the portable terminal owned by the participant. And a predetermined date and time before the meeting start date and time, and based on the information received by the first receiving means and the second receiving means, When the participant is present , the apparatus includes a decoding unit that decodes a document necessary for the meeting , and a second detection unit that vibrates the portable terminal and detects an acceleration of the portable terminal during the vibration. The information received by the second receiving means is information regarding the acceleration of the portable terminal detected by the second detecting means .
The invention according to claim 2 is a first receiving means for receiving information indicating positions of participants in a meeting where a plurality of people gather, and a second receiving means for receiving information on the environment of the mobile terminal owned by the participant. And a predetermined date and time before the meeting start date and time, and based on the information received by the first receiving means and the second receiving means, When the participant is present, the meeting is decrypted based on the information received by the second accepting unit after the decrypting unit decrypts the document necessary for the meeting and the decrypting process is performed by the decrypting unit. An information processing apparatus comprising processing means for performing a process of making it impossible to view the document when it has been completed.

The invention of claim 3 further includes first detection means for acquiring sounds around the portable terminal and detecting the environment of the portable terminal based on the sounds, and the second reception means receives the sound. information is an information processing apparatus according to claim 1 or 2, characterized in that the information about the environment of the first of the mobile terminal detected by the detecting means.

  The invention of claim 4 further comprises third detection means for detecting a device communicable with the portable terminal, and the information received by the second reception means is detected by the third detection means. The information processing apparatus according to claim 1, wherein the information processing apparatus is information related to the apparatus.

The invention according to claim 5 is a first accepting means for accepting information indicating a position of a participant of a meeting where a plurality of people gather, and a second accepting means for accepting information on the environment of the mobile terminal owned by the participant. And a predetermined date and time before the meeting start date and time, and based on the information received by the first receiving means and the second receiving means, When there is the participant, a decoding unit that decodes a document necessary for the meeting , and a first detection that acquires sound around the portable terminal and detects the environment of the portable terminal based on the sound Means, a second detection means for detecting the acceleration of the mobile terminal during the vibration, and a third detection means for detecting a device communicable with the mobile terminal. And information received by the second receiving means. The first information related to the environment of the mobile terminal detected by the first detection means, the second information related to the acceleration of the mobile terminal detected by the second detection means, and the third information Third information on the device detected by the detection means, wherein the decoding means is based on a total value obtained by multiplying each of the first information, the second information, and the third information by a count. is information processing apparatus, characterized in that for judging whether the participant is in place of the meeting.

According to the sixth aspect of the present invention, after the decryption process is performed by the decryption unit, the document cannot be browsed when the meeting is ended based on the information received by the second reception unit. The information processing apparatus according to claim 1 , further comprising processing means for performing the processing described in claim 1.

According to the seventh aspect of the present invention, there is provided a first accepting means for accepting information indicating a position of a participant of a meeting where a plurality of people gather, and a second accepting information relating to the environment of the mobile terminal owned by the participant. Based on the information received by the first accepting means and the second accepting means, and when the predetermined date and time before the meeting start date has passed. When the participant is present at the location, the decoding means for decoding the document required for the meeting , and the second detection for detecting the acceleration of the mobile terminal while vibrating the mobile terminal to function as a unit, the second reception unit receives information is an information processing program, characterized in that an acceleration information regarding the said mobile terminal which is detected by the second detecting means.
The invention according to claim 8 is a first receiving means for receiving information indicating a position of a participant of a meeting where a plurality of people gather, and a second receiving information on the environment of the mobile terminal owned by the participant. Based on the information received by the first accepting means and the second accepting means, and when the predetermined date and time before the meeting start date has passed. If the participant is present at the location, based on the information received by the second accepting means after the decrypting means for decrypting the document necessary for the meeting and the decrypting process performed by the decrypting means, When the meeting has ended, the information processing program causes the document to function as a processing unit that performs processing for making it impossible to view the document.
According to the ninth aspect of the present invention, there is provided a first receiving means for receiving information indicating a position of a participant of a meeting where a plurality of people gather, and a second receiving information related to the environment of the mobile terminal owned by the participant. Based on the information received by the first accepting means and the second accepting means, and when the predetermined date and time before the meeting start date has passed. If the participant is present at the location, the decoding means for decoding the document necessary for the meeting, the sound around the portable terminal is obtained, and the environment of the portable terminal is detected based on the sound. A first detection means, a second detection means for detecting the acceleration of the mobile terminal while vibrating the mobile terminal, and a third detection for detecting a device communicable with the mobile terminal. The second function The information received by the attaching means includes first information relating to the environment of the portable terminal detected by the first detecting means, and second information relating to acceleration of the portable terminal detected by the second detecting means. The third information about the device detected by the third detection means, wherein the decoding means multiplies each of the first information, the second information, and the third information by a count. An information processing program for determining whether or not there is the participant at the meeting place based on a total value.

According to the information processing apparatus of claim 1, when a document used for the meeting is decrypted after a predetermined date and time before the meeting start date and time, the participant is not at the meeting place. Nevertheless, it is possible to prevent the document from being decrypted. Further, based on the acceleration of the portable terminal while the portable terminal owned by the participant is vibrating, it can be determined whether or not the participant is at the meeting place.
According to the information processing apparatus of claim 2, when a document used for the meeting is decrypted after a predetermined date and time before the meeting start date and time, the participant is not at the meeting place. Nevertheless, it is possible to prevent the document from being decrypted. In addition, when the meeting ends, it is possible to make it impossible to view the document.

According to the information processing apparatus of the third aspect , it is possible to determine whether or not the participant is in the meeting place based on the sound around the portable terminal owned by the participant.

  According to the information processing apparatus of the fourth aspect, it is possible to determine whether or not the participant is at the meeting place based on a device capable of communicating with the portable terminal owned by the participant.

According to the information processing apparatus of claim 5, when a document used for the meeting is decrypted after a predetermined date and time before the meeting start date and time, the participant is not at the meeting place. Nevertheless, it is possible to prevent the document from being decrypted. Further , based on the total value obtained by multiplying each of the first information, the second information, and the third information by a count, it can be determined whether or not there is a participant at the meeting place .

  According to the information processing apparatus of the sixth aspect, when the meeting is ended, it is possible to make the browsing of the document impossible.

According to the information processing program of claim 7, when a document used for the meeting is decrypted after a predetermined date and time before the meeting start date and time, the participant is not at the meeting place. Nevertheless, it is possible to prevent the document from being decrypted. Further, based on the acceleration of the portable terminal while the portable terminal owned by the participant is vibrating, it can be determined whether or not the participant is at the meeting place.
According to the information processing program of claim 8, when a document used for the meeting is decrypted after a predetermined date and time before the meeting start date and time, the participant is not at the meeting place. Nevertheless, it is possible to prevent the document from being decrypted. In addition, when the meeting ends, it is possible to make it impossible to view the document.
According to the information processing program of claim 9, when a document used for the meeting is decrypted after a predetermined date and time before the meeting start date and time, the participant is not at the meeting place. Nevertheless, it is possible to prevent the document from being decrypted. Further, based on the total value obtained by multiplying each of the first information, the second information, and the third information by a count, it can be determined whether or not there is a participant at the meeting place.

It is a conceptual module block diagram about the structural example of this Embodiment. It is a flowchart which shows the process example by this Embodiment. It is explanatory drawing which shows the example of a data structure of a schedule information table. It is explanatory drawing which shows the data structure example of a position information table. It is a figure which shows the example of the spectrogram produced | generated from the audio | voice signal detected in various situations. It is a figure which shows the example of a spectrogram and two-dimensional Fourier-transform of this spectrogram. It is a figure which shows an example of the apparatus structure of an environment detection module. It is a flowchart which shows the process example by an image base classification module. It is a conceptual module block diagram about the structural example of an environment detection module (mobile terminal). It is a figure which shows an example of the data of the force by a vibration generation module. It is a figure which shows an example of the 1st material characteristic data table. It is a figure which shows an example of each acceleration data of the triaxial direction for every material. It is a figure which shows an example of the 2nd material characteristic data table. It is a figure which shows another example of the 2nd material characteristic data table. It is a flowchart which shows the example of a material determination process. It is a flowchart which shows the example of a friction coefficient calculation process. It is a flowchart which shows the example of a restitution coefficient calculation process. It is a flowchart which shows the example of an acceleration amplitude calculation process. It is a figure which shows an example of the physical model for calculating a friction coefficient. It is explanatory drawing which shows the example of a data structure of a peripheral device information table. It is a block diagram which shows the hardware structural example of the computer which implement | achieves this Embodiment.

Hereinafter, an example of a preferred embodiment for realizing the present invention will be described with reference to the drawings.
FIG. 1 shows a conceptual module configuration diagram of a configuration example of the present embodiment.
The module generally refers to components such as software (computer program) and hardware that can be logically separated. Therefore, the module in the present embodiment indicates not only a module in a computer program but also a module in a hardware configuration. Therefore, the present embodiment is a computer program for causing these modules to function (a program for causing a computer to execute each procedure, a program for causing a computer to function as each means, and a function for each computer. This also serves as an explanation of the program and system and method for realizing the above. However, for the sake of explanation, the words “store”, “store”, and equivalents thereof are used. However, when the embodiment is a computer program, these words are stored in a storage device or stored in memory. It is the control to be stored in the device. Modules may correspond to functions one-to-one, but in mounting, one module may be configured by one program, or a plurality of modules may be configured by one program, and conversely, one module May be composed of a plurality of programs. The plurality of modules may be executed by one computer, or one module may be executed by a plurality of computers in a distributed or parallel environment. Note that one module may include other modules. Hereinafter, “connection” is used not only for physical connection but also for logical connection (data exchange, instruction, reference relationship between data, etc.). “Predetermined” means that the process is determined before the target process, and not only before the process according to this embodiment starts but also after the process according to this embodiment starts. In addition, if it is before the target processing, it is used in accordance with the situation / state at that time or with the intention to be decided according to the situation / state up to that point. When there are a plurality of “predetermined values”, they may be different values, or two or more values (of course, including all values) may be the same. In addition, the description having the meaning of “do B when it is A” is used in the meaning of “determine whether or not it is A and do B when it is judged as A”. However, the case where it is not necessary to determine whether or not A is excluded.
In addition, the system or device is configured by connecting a plurality of computers, hardware, devices, and the like by communication means such as a network (including one-to-one correspondence communication connection), etc., and one computer, hardware, device. The case where it implement | achieves by etc. is included. “Apparatus” and “system” are used as synonymous terms. Of course, the “system” does not include a social “mechanism” (social system) that is an artificial arrangement.
In addition, when a plurality of processes are performed for each module or each module, the target information is read from the storage device for each process, and the processing result is written to the storage device after performing the processing. is there. Therefore, description of reading from the storage device before processing and writing to the storage device after processing may be omitted. Here, the storage device may include a hard disk, a RAM (Random Access Memory), an external storage medium, a storage device via a communication line, a register in a CPU (Central Processing Unit), and the like.

  The information processing apparatus 100 according to the present embodiment decodes a document used for the meeting after a predetermined date and time before the meeting start date and time. As shown in the example of FIG. The processing module 110 includes a document acquisition module 120, a document decryption / re-encryption processing module 130, a position detection module 140, an environment detection module 150, a peripheral device detection module 160, and an event detection module 170. The information processing apparatus 100 may be a mobile terminal owned by a user, or may be an information processing apparatus other than the mobile terminal. In the case of an information processing apparatus other than a portable terminal, the information processing apparatus is connected to be communicable with the portable terminal. “Meetings” are those where multiple people gather in one place and the participants of the meeting use documents. Events, conferences, presentations, conferences, conferences, customer interviews, machine maintenance Work, presentation, etc. Hereinafter, an event will be described as a main example.

  The schedule processing module 110 acquires schedule information of users (persons who can be participants in the meeting). For example, the user's schedule information for the day may be acquired from the schedule management system, or a notification such as an e-mail including the schedule information may be received from the schedule management system at a predetermined date and time before the scheduled date and time. It may be. Then, the schedule processing module 110 determines whether or not the user has a meeting schedule based on the schedule information. For example, there is a schedule information table 300 as the schedule information. The schedule information table 300 is received for each meeting of the target users. FIG. 3 is an explanatory diagram showing an example of the data structure of the schedule information table 300. The schedule information table 300 includes a start date / time column 310, an end date / time column 320, an event ID column 330, a position column 340, a participant number column 350, a participant ID column 360, and the like. The start date / time column 310 stores the start date / time of the event (may be year, month, day, second, second or less, or a combination thereof). The end date / time column 320 stores the end date / time of the event. The event ID column 330 stores information (event ID: IDentification) for uniquely identifying the event in the present embodiment. The position column 340 stores the position of a conference room or the like where the event is held. For example, there are information such as latitude, longitude, building name, and room number. The number of participants column 350 stores the number of participants in the event. In the present embodiment, the participant ID column 360 stores information (participant ID, user ID) for uniquely identifying the participant in the event.

  The document acquisition module 120 is connected to the document decryption / re-encryption processing module 130. The document acquisition module 120 acquires a document necessary for the target event. For example, referring to a table in which an event ID and a document ID are associated with each other, the document ID may be extracted from the event ID, and the document with the document ID may be acquired from the document management system. Documents here are text data, electronic data such as images, moving images, audio, etc., or a combination of these, and are subject to storage, editing, searching, etc., and exchanged as individual units between systems or users. What you can do, including things similar to these. Specifically, it includes a document created by a document creation program, a Web page, and the like. The document is encrypted. As an encryption method, for example, there is public key encryption, but it is not necessary to be limited to this. For example, a technique such as a time-limited ticket may be used.

  The position detection module 140 is connected to the event detection module 170. If the event detection module 170 determines that the date and time (predetermined date and time before the event start date and time) has passed, the position detection module 140 receives information indicating the location of the event participant. For example, position information output by GPS (Global Positioning System) built in a portable terminal possessed by the target participant, position of the WiFi base station used by the portable terminal Any one of the information and the location information of the telephone line base station used in the mobile phone network used by the mobile terminal may be used.

The environment detection module 150 is connected to the event detection module 170. The environment detection module 150 receives information related to the environment of the mobile terminal owned by the participant.
The environment detection module 150 may acquire sound around the mobile terminal and detect the environment of the mobile terminal based on the sound. That is, the information regarding the environment of the mobile terminal in this case is information regarding the detected environment of the mobile terminal. Note that the microphone of the portable terminal may be used to acquire sound around the portable terminal (environmental sound).
The environment detection module 150 detects the environment by sensing sound with a mobile terminal in order to identify a living scene from the environmental sound. A spectrogram is generated from the sound signal of the environmental sound, and a two-dimensional Fourier transform is applied thereto. The situation (for example, a conference room, a work space, an open floor, the outdoors, etc.) where the sound was acquired is specified by the similarity between the result and the periodic characteristics or the template image. Obtaining information related to the environment from surrounding sounds will be described later using the examples of FIGS.

The environment detection module 150 may vibrate the mobile terminal and detect the acceleration of the mobile terminal during the vibration. That is, the information regarding the environment of the mobile terminal in this case is information regarding the detected acceleration of the mobile terminal.
The environment detection module 150 recognizes the material and hardness of the place where the portable terminal is placed by vibrating. That is, vibration is given to a desk or the like placed, and the type of the desk or the like placed is determined from its natural frequency. Obtaining information about the environment from the acceleration will be described later with reference to the examples of FIGS.

  The peripheral device detection module 160 is connected to the event detection module 170. The peripheral device detection module 160 receives information regarding the environment of the mobile terminal owned by the participant. Peripheral device detection module 160 may detect a device capable of short-range communication wirelessly with a mobile terminal. That is, the information regarding the environment of the mobile terminal in this case is information regarding the detected device. A device is a peripheral device in a position where it can communicate with a mobile terminal owned by a participant, for example, an information device (for example, a projector or the like) in the conference room, or owned by another participant. There are portable terminals. Examples of information on the device include the number of peripheral devices that can communicate, the peripheral device ID that can communicate, and the type of peripheral device that can communicate (for example, information indicating whether or not the device is installed in a conference room). There are any one or a combination of two or more. Examples of wireless near field communication include Bluetooth (registered trademark), WiFi, infrared communication, NFC (Near Field Communication), and the like.

  The event detection module 170 is connected to the document decryption / re-encryption processing module 130, the position detection module 140, the environment detection module 150, and the peripheral device detection module 160. The event detection module 170 determines whether or not a predetermined date and time before the start date and time of the event where a plurality of people gather has passed. The “predetermined date and time before the event start date and time” is the date and time for securing a predetermined period from the start date and time, such as one hour before the event start. . The period before the start of the event may be 0 or may be several days. During this period, the document can be browsed before the event starts. Of course, it can be viewed during the event. Note that “viewable here” means that an encrypted document is decrypted. In addition, if the document is decrypted using only the scheduled start date and time of the event, if the event schedule is canceled, the document can be viewed even if the event is not held. . In addition, since an event may end earlier or later than scheduled, if a document is deleted using only the scheduled end date and time of the event, the state in which the document can be browsed will be continued or the event will continue. The document may not be able to be viewed despite being inside.

Then, based on the information received by the position detection module 140 and the environment detection module 150, the event detection module 170 determines whether or not there is a target participant at the target event location. The information received by the environment detection module 150 includes, for example, one or a combination of information regarding the environment of the mobile terminal possessed by the target participant and information regarding the acceleration of the mobile terminal.
In the case of using information related to the environment of the portable terminal possessed by the target participant, for example, the environment detection module 150 and the event detection module 170 perform the following series of processes.
When the event start time is reached, the ambient sound around the mobile terminal is acquired using the microphone of the mobile terminal. A periodic feature or a template image is registered at a place where an event is scheduled using data acquired in the past. The situation acquired by the portable terminal is compared with the place information where the event is scheduled, and it is recognized that the portable terminal has been correctly brought to the planned place. When there is no data acquired in the past regarding the place where the event is scheduled to be performed, information other than the situation information (for example, position information of the position detection module 140) is used to identify the place, and the current situation Information may be registered as situation information of the place.
Further, while the event is continuing, the environmental sound may be acquired by the mobile terminal, and if a difference from the situation acquired at the start of the event occurs, it may be recognized that the event has ended.
The environmental sound acquired by the mobile terminal refers to continuous sound from an air conditioner, projector, PC, etc. that can be heard in a conference room. In an office environment, it refers to continuous sounds such as the surrounding air conditioning, copiers, printers, and human voices. When outdoors, it refers to continuous sounds such as sounds of transportation such as cars and trains, walking sounds of people, speech, music and announcements.

Further, in the case of using information on the acceleration of the mobile terminal possessed by the target participant, for example, the environment detection module 150 and the event detection module 170 perform the following series of processes.
When the event start time is reached, the mobile terminal vibrates, and the value acquired by the acceleration sensor or the gyro sensor is used to determine the situation where the mobile terminal is placed. For example, if it is judged on a desk installed in a conference room, on a desk in your seat, on a shelf, on a floor, etc., and with an illuminance sensor, it is held in your hand, in your bag, in your pocket, etc. Can also be determined. For those that have a past record or are assumed, data is acquired in advance, and a comparison is made with them. When there is no data acquired in the past regarding the place where the event is scheduled to be performed, the place is specified using information other than acceleration (for example, position information of the position detection module 140), and the current acceleration is related. Information may be registered as a unique value of the place.
If the acceleration sensor or the gyro sensor recognizes that a movement has occurred in the portable terminal while the event is continuing, the above-described processing is performed to re-determine the situation where the portable terminal is placed. When the terminal placed on the desk is held in the hand or taken out of the bag, it is recognized that the event is continuing. Further, when the terminal placed on the desk is stored in a bag or pocket, it may be recognized that the event has ended.

Further, the event detection module 170 determines whether or not there is a target participant at the location of the target event based on the information received by the position detection module 140 and the peripheral device detection module 160. Also good. As information received by the peripheral device detection module 160, for example, there is information about a device that can communicate with a mobile terminal possessed by a target participant.
For example, the peripheral device detection module 160 and the event detection module 170 perform the following series of processes.
When the event start time is reached, the surrounding device is searched using the communication module of the portable terminal. Regardless of whether or not it is possible to communicate with its own mobile terminal and whether it can be used functionally, it is intended for devices that can acquire device information. For example, mobile terminals (including mobile phones, smartphones, tablets, etc.), fixed desktop PCs, projectors, monitors, multifunction devices (scanners, printers, copiers, fax machines, etc.) Image processing apparatus), scanner, printer, fax, speaker, wireless port (LAN, telephone, etc.), RFID installed in a conference room, headset, speaker, and the like.
The acquired device ID is compared with the device ID at the place where the event is scheduled, and it is determined whether or not the target participant is at the planned location.
And if apparatus ID is acquired, the information which made them list will be tied with an event. That is, not only the device ID of the device fixed at the place, but also the device ID of a mobile terminal or the like possessed by another participant is associated with the participating event.
Polling periodically during the event to detect changes in surrounding devices. Then, check against the event end condition. For example, if the number of devices (mobile terminals) other than fixed devices is less than the number of event participants at the start of the event, or if the number of surrounding devices increases to the number of event participants, the number of participants increases during the event. It is determined that the event is continuing. However, if the number of events exceeds that, it may be recognized that the event has ended. Although the number of event participants themselves is used as the threshold, a value obtained by adding or subtracting a predetermined number to the number of event participants may be used as the threshold. Further, when there is no longer a fixed device, it may be determined that the event has ended by recognizing that his / her mobile terminal is away from the place.

Further, the event detection module 170 determines whether or not there is a participant at the target event location based on the information received by the position detection module 140, the environment detection module 150, and the peripheral device detection module 160. May be. Then, the event detection module 170 receives information received by the environment detection module 150 (information on the environment of the mobile terminal possessed by the target participant, information on the acceleration of the mobile terminal), and the peripheral device detection module 160 The determination process may be performed based on a total value obtained by multiplying each of the received information (information on a device that can communicate with a portable terminal possessed by the target participant).
Specifically, the event detection module 170 performs a determination process using, for example, a position information table 400 created in advance. FIG. 4 is an explanatory diagram showing an example of the data structure of the position information table 400. The position information table 400 includes a position field 410, a position template image field 420, and an installed equipment field 430. The position column 410 stores position information (corresponding to the position column 340 of the schedule information table 300) of a place where a meeting such as a conference room can be held. The position template image column 420 stores a position template image that is the above-described periodic feature or template image. The installed device column 430 stores a device (for example, a projector) installed at the location. That is, the information obtained from the position detection module 140 and the information stored in the position column 410, the information obtained from the environment detection module 150 and the information stored in the position template image column 420, and obtained from the peripheral device detection module 160 The information and the information stored in the installed device column 430 are respectively compared, and based on the degree of coincidence, it is determined whether there is a target participant at the target event location.
For example, the following reliability is used as the matching degree. The reliability is determined by the following equation using the coefficient determined by the priority.
Reliability = Σαi * Xi + Σβj * Yj
i, j: Sensor type α, β: Sensor specific coefficient X: Sensor output value (analog value) Continuous value such as temperature and illuminance Y: Sensor output value (digital value) Value expressed by presence / absence of device etc. In the equation, the sensor output value is calculated separately for an analog value and a digital value, but only one of them may be calculated.
That is, the event detection module 170 calculates the reliability of the situation by adding priority to data acquired from a plurality of sensors. Then, the start of the event is determined by comparing the calculated reliability with the threshold value for starting the event.
Sensor data having a high sensor specific coefficient (high priority) as shown below may be adopted. Examples of sensor data include position information, temperature information, sound information, illuminance information, acceleration information, gyro information, geomagnetic information, and atmospheric pressure information.
・ A large dynamic range, that is, a large On / Off difference. For example, there are sound, temperature, and illuminance.
・ Periodic or continuous. For example, there are air-conditioning sound and train passing sound. In addition, what is generated intermittently reduces the sensor intrinsic coefficient.
・ A large S / N ratio, that is, a small amount of noise. For example, there is a natural vibration when vibrating on a desk.
・ Value close to people. For example, there are face recognition, voice recognition, pulse, electroencephalogram, and wrinkle movement.
・ A value that can guarantee the absolute value, that is, a value that does not depend on time or measurement environment. For example, there is position information.
-Device information specific to a location, that is, a device that does not move itself. For example, there are fixed desktop PCs, projectors, monitors, multifunction devices, scanners, printers, fax machines, speakers, and the like.

  In addition, the event detection module 170 receives information received by the environment detection module 150 or the peripheral device detection module 160 after the decryption processing is performed by the document decryption / re-encryption processing module 130 (possessed by the target participant). Whether or not the event has ended based on the information on the environment of the mobile terminal, the information on the acceleration of the mobile terminal, the information on the device that can communicate with the mobile terminal, or a combination thereof) You may make it judge. The end of the event may be determined using the same formula as described above.

The document decryption / re-encryption processing module 130 is connected to the document acquisition module 120 and the event detection module 170. When the event detection module 170 determines that the participant is at the target event location, the document decryption / re-encryption processing module 130 decrypts the document necessary for the event. By decrypting the document, it is made possible to browse.
Further, when the event detection module 170 determines that the event has ended, the document decryption / re-encryption processing module 130 may perform a process of making it impossible to view the document. “Processing to make viewing a document impossible” means, for example, encrypting the document using a key different from the original key, deleting the key for decrypting the document, It may be deleted. In addition, when the event detection module 170 cannot determine the end (for example, when the above-mentioned reliability is included in a predetermined range), a warning message is presented, and the response from the operator is If there is no predetermined time, processing such as re-encryption may be forcibly executed.

FIG. 2 is a flowchart showing an example of processing according to this embodiment.
In step S202, the schedule processing module 110 receives schedule information.
In step S204, the schedule processing module 110 determines whether or not an event is scheduled, and if there is, the process proceeds to step S206, and otherwise returns to step S200.
In step S206, the document acquisition module 120 determines whether there is a related document necessary for the event. If there is, the process proceeds to step S208. Otherwise, the process returns to step S200.

In step S208, the document decryption / re-encryption processing module 130 receives the encrypted document. Obtain encrypted documents for use in scheduled events.
In step S210, the document decryption / re-encryption processing module 130 receives the encryption key. An encryption key that can be decrypted only by a scheduled event is obtained from the management server.
In step S212, the event detection module 170 determines whether it is the scheduled time. If it is the scheduled time, the process proceeds to step S214, and otherwise waits until the scheduled time. The scheduled time here refers to a predetermined date and time before the event start date and time described above.

In step S214, the position detection module 140 receives position information.
In step S216, the environment detection module 150 receives environment information.
In step S218, the peripheral device detection module 160 receives peripheral device information.
In step S220, the event detection module 170 determines whether or not the location is a planned location. If the location is the planned location, the process proceeds to step S222. Otherwise, the process proceeds to step S236. That is, here, it is detected that the participant's mobile terminal is in the place set in the schedule.

In step S222, the document decryption / re-encryption processing module 130 decrypts the document. For example, decryption can be performed at the time set in the encryption key (set from the schedule).
In step S224, the event detection module 170 sets an event. Specifically, one or both of environmental information and peripheral device information is acquired and set as an event component. That is, the situation at the start of the event is stored. For example, the peripheral device information table 2000 is stored. FIG. 20 is an explanatory diagram showing an example of the data structure of the peripheral device information table 2000. The peripheral device information table 2000 includes an event ID column 2010, an event initial peripheral device column 2020, an event current peripheral device column 2030, and an end condition column 2040. The event ID column 2010 stores an event ID. The event initial peripheral device column 2020 stores the device ID of the peripheral device detected by the peripheral device detection module 160 at the initial time of the event. The event current peripheral device column 2030 stores the device ID of the peripheral device detected by the peripheral device detection module 160 at the current event time. The end condition column 2040 stores an end condition. In step S224, the event ID column 2010 and the event initial peripheral device column 2020 are set, and the end condition column 2040 is set based on event schedule information and event location information. For example, the number of surrounding portable terminals that can be detected may be set based on the number of participants scheduled for the event. For example, when the number of surrounding mobile terminals is 0 (for example, when the mobile terminal is left unattended), the condition may be set to end. Moreover, it is good also as conditions to make it complete | finish when the apparatus ID of the fixed apparatus runs out (when leaving | separating from the place). When the location is changed, a condition that the mobile terminal is moving at a predetermined speed or more may be set as the end condition. There may be a plurality of termination conditions, and they may be logically coupled (AND, OR, etc.). The event current peripheral device column 2030 is set in step S230.

In step S226, the position detection module 140 receives position information.
In step S228, the environment detection module 150 receives environment information.
In step S230, the peripheral device detection module 160 receives peripheral device information.
In step S232, the event detection module 170 determines whether or not there has been a change in the event. If there has been a change, the process proceeds to step S234; otherwise, the process returns to step S226. When a change occurs in a component (the environment has changed, the number of peripheral devices has decreased or increased), it is assumed that the event has changed.
In step S234, the event detection module 170 determines whether or not the event has ended. If it has ended, the process proceeds to step S236, and otherwise returns to step S226. The end of the event is determined in light of predetermined criteria. As a standard, the location has changed, the number of devices has decreased, the number of devices has increased more than a threshold, and the like.
In step S236, the document decryption / re-encryption processing module 130 performs any of re-encryption, key deletion, and deletion processing on the document decrypted in step S222.

The module configuration in the environment detection module 150, the processing content (processing for detecting the environment of the mobile terminal), and the like will be described using the examples of FIGS.
The environment detection module 150 as a classification device receives a time-varying signal (referred to as a “time-varying signal”) as an input, and by analyzing this input signal, an event represented by this input signal is registered in advance. It is determined which of the events corresponds (that is, the input signal is classified into any registered event).

The time change signal to be classified is, for example, a time-series signal output from a sensor over a certain time. For example, an audio signal detected by a microphone, an acceleration signal detected by an acceleration sensor, a speed signal acquired by a speed sensor, a pressure signal detected by a pressure sensor, and the like are examples.
The event that is the classification destination may be any event that can be identified by analysis of the time-varying signal. For example, by analyzing the audio signal picked up by a smartphone microphone carried by a person, the person is walking, waiting for a train at a station platform, riding a train, etc. It is possible to analyze what kind of situation a person is at that time. Various “situations” in this example are examples of events to be classified.
For this classification, the environment detection module 150 obtains a two-dimensional Fourier transform of the spectrogram of the input time-varying signal and generates an image showing the distribution of the frequency components of the spectrogram. On the other hand, for each of various events, a time change signal generated in the event is acquired in advance, and an image showing the distribution of frequency components of the spectrogram of the time change signal is created, and this is a template image corresponding to the event. As a database. Then, according to which of the template images of each event in the database is similar to the image indicating the frequency component distribution of the spectrogram of the input signal, it is determined which event the input signal represents.

  Here, as is well known, the spectrogram is a time-varying spectrum expression that represents how the spectral density of a signal changes with time. The spectrogram is generally represented as a graph (image) representing the signal intensity (amplitude) of a certain frequency at a point in time with brightness and color at each point, with time on the horizontal axis and frequency on the vertical axis. In the environment detection module 150, the spectrogram subjected to two-dimensional Fourier transform is used for classification.

FIG. 5 shows an example of a spectrogram created from an audio signal picked up by a microphone of a smartphone carried by a person. (A) is a spectrogram of an audio signal when the person is waiting for a train on the platform of the station, and (b) is an audio signal when the train is approaching the platform on which the person is waiting. This is the spectrogram. Further, (c) is a spectrogram of an audio signal when the person is on a train running outdoors, and (d) is an audio signal when the person is on a train running in a tunnel (or underground). This is the spectrogram.
FIG. 6 shows (a) a spectrogram generated from an audio signal acquired by a smartphone microphone when a person is walking, and (b) a two-dimensional Fourier transform of the spectrogram. In the environment detection module 150, for example, the two-dimensional Fourier transform of the spectrogram illustrated in (b) is stored as a template image in the database in association with the situation (event) that “a person is walking”.
It is also conceivable to combine the classification using the template image described above with the classification using the periodic features of the two-dimensional Fourier transform image of the spectrogram.
For example, in the image of the two-dimensional Fourier transform (b) of the spectrogram (a) shown in FIG. 6, a point (“white point”) having a remarkably higher brightness than the surroundings on the horizontal axis that bisects the image vertically. Are periodically arranged at regular intervals. The interval between adjacent white spots in this example is a feature indicating the periodicity included in the image of the two-dimensional Fourier transform (b). For example, it has been found by the inventors' experiment that the distance between the person walking and the person running is different. Therefore, if a characteristic having periodicity as shown in (b) is found in the result of two-dimensional Fourier transform of the spectrogram of the signal, classification may be performed using such periodic characteristic. it can. For example, for each situation (for example, walking / running), the interval between white spots on the horizontal axis of the image of the two-dimensional Fourier transform (b) corresponding to the situation is used as a periodic characteristic corresponding to the situation. Create a database, search the database for periodic features similar to the periodic features obtained from the two-dimensional Fourier transform of the spectrogram of the input signal, and determine the situation corresponding to the searched periodic features as the situation indicated by the input signal To do.
However, such periodicity is not seen for all events (situations). Therefore, in the environment detection module 150, when a periodic feature can be found from the two-dimensional Fourier transform of the spectrogram of the input signal, classification is performed based on the feature. On the other hand, if no periodic feature is found, classification is performed based on comparison with the template image.

FIG. 7 shows an example of a functional configuration of the environment detection module 150 as a classification device.
In the example of FIG. 7, the template image DB (database) 730 is associated with the identification information of each event for each event to be classified (for example, a situation where a user carrying a smartphone is present). An image obtained by two-dimensional Fourier transform of the spectrogram of the time change signal detected by the sensor is registered as a template image. That is, an experiment is performed in advance, sensor detection signals for various events are collected, a template image is generated from the collected signals, and this is registered in the template image DB 730. The template image to be registered is generated using the spectrogram generation module 712, the preprocessing module 714, and the two-dimensional Fourier transform module 722 (or an apparatus having the same function) of the classification apparatus of FIG.

  Further, in the periodicity feature DB 734, the periodicity feature is registered in association with the identification information of the event only for the event in which the periodicity feature is seen in the template image. For example, the periodic image is searched by analyzing the template image of each event created when the template image DB 730 is constructed, and if a periodic feature is found, it may be registered in the periodic feature DB 734. As the periodicity feature, for example, as illustrated in FIG. 6, an interval between white spots existing at equal intervals on the horizontal axis passing through the center of the template image (example of FIG. 6B) is used. Good. In this case, for each event, a pixel value distribution on the horizontal axis passing through the center of the template image corresponding to the event is obtained, and a white point is extracted by binarizing this pixel value distribution. The intervals between adjacent white spots in the group are obtained, and when the obtained intervals are equal within a predetermined tolerance, the template image is determined to have periodicity. Then, the statistical representative values (for example, average values) of the plurality of intervals are registered in the periodic feature DB 734 as the periodic features of the event. Note that paying attention to the periodicity of white spots arranged on the horizontal axis of the template image, or using the interval between the white spots as a periodic feature is merely an example. The periodic feature detection method for obtaining the feature registered in the periodic feature DB 734 is the same as that used in the periodic feature detection module 726 described later.

The time change signal to be classified is input to the signal input module 710 of the apparatus of FIG. For example, an application installed on a smartphone transmits audio signal data picked up by the smartphone microphone at a certain period to the environment detection module 150 that is a classification device via the Internet, and the data is transmitted to the environment detection module 150. Received by the signal input module 710.
The spectrogram generation module 712 generates a spectrogram of the time-varying signal received by the signal input module 710. A conventionally used method may be used for generating the spectrogram. The generated spectrogram can be handled as a kind of image.
The generated spectrogram is input to the preprocessing module 714 and subjected to preprocessing for two-dimensional Fourier transform. The preprocessing module 714 includes a band pass filter module 716, a nonlinear conversion module 718, and a binarization module 720.

The band pass filter module 716 extracts a portion of a predetermined frequency band from the input spectrogram (for example, the horizontal axis indicates time and the vertical axis indicates frequency). This is a process of removing a frequency band from the spectrogram that is meaningless (becomes only noise) for later analysis. The frequency band to be extracted may be determined in advance according to the characteristics of the signal to be classified by the environment detection module 150 as the classification device.
The nonlinear conversion module 718 performs nonlinear amplification on the output of the bandpass filter module 716 (that is, the extracted portion of the spectrogram). This is to improve the signal-to-noise ratio by amplifying a low-intensity (low-brightness) signal component and increasing the intensity based on the same concept as gamma correction when displaying an image signal. .
The binarization module 720 performs binarization processing on the output of the nonlinear conversion module 718. This binarization emphasizes the characteristics of the spectrogram. The output of the binarization module 720 is input to the two-dimensional Fourier transform module 722.

The two-dimensional Fourier transform module 722 performs a known two-dimensional Fourier transform on the input binarization result (that is, a binarized image obtained by preprocessing the spectrogram of the input signal). Thereby, an image showing the distribution of the frequency components of the binarized image of the spectrogram is obtained. This image (binarization result) is input to the classification processing module 724.
The classification processing module 724 uses the input image of the two-dimensional Fourier transform result, and the event represented by the time-varying signal to be classified is any of the events registered in the database (template image DB 730 and periodic feature DB 734). Determine if it applies. The classification processing module 724 includes a periodic feature detection module 726, an image-based classification module 728, and a feature-based classification module 732.
The periodic feature detection module 726 detects a periodic feature from the input image of the two-dimensional Fourier transform result. The detection method may be the same as the method for obtaining the features registered in the periodic feature DB 734 described above.

When a periodic feature is detected by the periodic feature detection module 726, the classification processing module 724 performs classification using the feature-based classification module 732. In other words, the feature-based classification module 732 searches the periodic feature of each event registered in the periodic feature DB 734 for a feature close to the periodic feature detected by the periodic feature detection module 726. In this search, for example, the distance between the detected periodic feature and the periodic feature of the periodic feature DB 734 is obtained, and if the distance is equal to or less than a predetermined threshold, both may be determined to be “close”. For example, when the interval between adjacent white spots is a periodic feature as in the example of FIG. 6, the interval in the image of the two-dimensional Fourier transform generated from the classification target signal and the periodic feature DB 734 are registered. The difference between the intervals corresponding to each event is obtained, and if the difference is equal to or less than the threshold value, the intervals between the two are “close”. When the periodic feature includes a plurality of components, the periodic feature is regarded as a vector composed of each component, and it may be determined whether the distance between the vectors is equal to or less than a threshold value. If such a “close” periodic feature is found, the event corresponding to the found periodic feature is determined as the classification destination of the time-varying signal to be classified. The handling when a plurality of periodic features “close” to the detected periodic feature are found from the periodic feature DB 734 may be determined separately. In one example, the closest “close” of the plurality of “close” periodic features is determined as the classification destination. In another example, all of the plurality of “close” periodic features are determined to be classification destinations.
If no periodic feature is detected by the periodic feature detection module 726, or if a classification destination is not found by the feature-based classification module 732, the image-based classification module 728 performs classification. The image-based classification module 728 compares the input image of the two-dimensional Fourier transform result with each template image registered in the template image DB 730, and performs classification based on the comparison result.

  An example of the processing procedure of the image base classification module 728 is shown in FIG. This procedure is executed for each event (and corresponding template image) registered in the template image DB 730. In this procedure, first, a template image corresponding to an event to be processed is read from the template image DB 730, and conjugate filter processing for obtaining complex conjugate is performed on the read template image (S802). Thereby, a conjugate template image is obtained. Note that when a conjugate template image is registered in the template image DB 730, S802 is not necessary. Next, the image of the two-dimensional Fourier transform result input from the two-dimensional Fourier transform module 722 is multiplied by the conjugate template image (S804). Next, an inverse Fourier transform is performed on the multiplication result (S806). This inverse Fourier transform may be the same operation as the two-dimensional Fourier transform. From the relationship between the Fourier transform and the cross-correlation function, the result of the inverse Fourier transform represents the correlation coefficient between the spectrograms before the two two-dimensional Fourier transforms (classification target and template image). This correlation coefficient is compared with a predetermined threshold value (S808). As a result of the comparison, if the correlation coefficient is equal to or greater than the threshold (that is, the correlation is sufficiently strong), it is determined that the classification target corresponds to an event corresponding to the template image (that is, the event is determined as a classification destination) (S810). ). If the correlation coefficient is less than the threshold value, it is determined that the classification target does not correspond to the event corresponding to the template image (that is, the event is not a classification destination) (S812).

In the example of FIG. 8, all events whose correlation coefficient is equal to or greater than the threshold are determined as classification destinations. You may make it determine with a classification | category destination.
As described above, the environment detection module 150 serving as a classification device performs a two-dimensional Fourier transform of a spectrogram of a time-varying signal to be classified, and a two-dimensional Fourier transform (template image) of the spectrogram generated from the signal for each event. To determine the classification target of the classification target. According to such a configuration, classification can be performed even when a clear periodic feature cannot be detected from the two-dimensional Fourier transform. In addition, when a clear periodic feature can be detected from the two-dimensional Fourier transform, a relatively heavy processing such as comparison (correlation calculation) between images is omitted, and classification is performed based on the periodic feature. , The calculation load is reduced. Since the processing system from spectrogram generation to two-dimensional Fourier transform is shared by classification based on image comparison and classification based on periodic characteristics, the system configuration is simple.

  For example, the environment detection module 150 as such a classification device is configured so that, for example, a situation around a device (for example, a smartphone) on which a sensor that generates a time change signal is mounted (the time change signal represents this situation) in advance. It is possible to analyze which of the specified situations (events) is applicable. Applications such as controlling the device in accordance with the analysis result and improving the service to the device by accumulating the analysis result and analyzing the trend are also conceivable.

  The environment detection module 150 as the classification device exemplified above may be realized, for example, by causing a general-purpose computer to execute a program representing the processing of each functional module described above. Here, the computer includes, as hardware, for example, a microprocessor such as a CPU, a memory (primary storage) such as a random access memory (RAM) and a read only memory (ROM), an HDD controller that controls an HDD (hard disk drive), Various I / O (input / output) interfaces, network interfaces that perform control for connection to a network such as a local area network, and the like have a circuit configuration connected via a bus, for example. In addition, various non-volatile portable devices such as a disk drive and a flash memory for reading and / or writing to a portable disk recording medium such as a CD or a DVD via the I / O interface, for example. A memory reader / writer for reading and / or writing to the recording medium may be connected. A program in which the processing contents of each functional module exemplified above are described is stored in a fixed storage device such as a hard disk drive via a recording medium such as a CD or DVD, or via a communication means such as a network, and stored in a computer. Installed. The program stored in the fixed storage device is read into the RAM and executed by a microprocessor such as a CPU, thereby realizing the functional module group exemplified above. Moreover, you may comprise one or more of the functional modules which comprise the environment detection module 150 which is a classification device as a hardware circuit.

The environment detection module 150 described above may be grasped as follows.
[A1]
Template image storage means for storing, as a template image, a two-dimensional Fourier transform of the spectrogram of the time-varying signal detected for the event for each of the one or more events;
A spectrogram generating means for processing a time-change signal of a classification target obtained by a sensor and generating a spectrogram of the time-change signal of the classification target;
Two-dimensional Fourier transform calculation means for calculating a two-dimensional Fourier transform of the spectrogram generated by the spectrogram generation means;
Similarity for calculating the similarity between the template image and the two-dimensional Fourier transform obtained by the two-dimensional Fourier transform calculation means for each template image corresponding to each event stored in the template image storage means Degree calculation means,
A determination unit that determines which of the one or more events corresponds to the time-change signal of the classification target based on the similarity calculated by the similarity calculation unit;
A classification device.

[A2]
For each of the one or more events, feature storage means for storing, as a template feature, a periodic feature of a two-dimensional Fourier transform of a spectrogram of a time-varying signal detected for the event;
Feature detection means for detecting periodic features from the image of the two-dimensional Fourier transform obtained by the two-dimensional Fourier transform calculation means;
A specifying unit for specifying a template similar to the periodic feature detected by the feature detection unit from the template features stored in the feature storage unit;
Further comprising
The determination means does not calculate the similarity by the similarity determination means when a template feature similar to the periodic feature detected by the feature detection means is specified by the specification means, and does not calculate the classification Determining that the time change signal of the target corresponds to an event corresponding to the template feature specified by the specifying means;
The classification device according to [A1].

[A3]
Computer
Template image storage means for storing, for each of one or more events, a two-dimensional Fourier transform of a spectrogram of a time-varying signal detected for the event as a template image;
A spectrogram generating means for processing a time-change signal of a classification target obtained by a sensor and generating a spectrogram of the time-change signal of the classification target;
Two-dimensional Fourier transform calculation means for calculating a two-dimensional Fourier transform of the spectrogram generated by the spectrogram generation means;
Similarity for calculating the degree of similarity between the template image and the two-dimensional Fourier transform obtained by the two-dimensional Fourier transform calculation means for each template image corresponding to each event stored in the template image storage means Degree calculation means,
A determination unit that determines which of the one or more events corresponds to the time change signal of the classification target based on the similarity calculated by the similarity calculation unit;
Program to function as.

According to [A1] or [A3], it is possible to classify a time-change signal to be classified into a corresponding event with a smaller calculation amount than when using a spectrogram feature amount.
According to [A2], if a clear periodic feature can be detected from the two-dimensional Fourier transform, the processing load is reduced.

9 to 19, the module configuration in the environment detection module 150 and the processing content (processing for detecting the acceleration of the mobile terminal and determining the situation where it is placed) will be described.
The mobile terminal 91 including the environment detection module 150 has a vibration function (vibration function), and performs processing for determining the material of the object on which the mobile terminal 91 is placed based on acceleration data measured when the mobile terminal 91 vibrates. Do.

[Explanation of functional block diagram]
In FIG. 9, the example of the functional block diagram of the portable terminal 91 was shown. As shown in the example of FIG. 9, the portable terminal 91 includes a measurement control module 911, a vibration generation module 912, an acceleration detection module 913, an acceleration data recording module 914, a data acquisition module 915, a data holding module 916, and a friction coefficient calculation module. 917, a restitution coefficient calculation module 918, an acceleration amplitude calculation module 919, a material determination module 920, and an information processing switching module 921.

  The function of each module provided in the portable terminal 91 includes control means such as a CPU, storage means such as a memory, communication means for transmitting / receiving data to / from an external device, a vibration generator (vibrator), and acceleration in each of the three directions. A computer including an acceleration sensor to detect may be realized by reading and executing a program stored in a computer-readable information storage medium. The program may be supplied to the portable terminal 91 as a computer by an information storage medium such as an optical disk, a magnetic disk, a magnetic tape, a magneto-optical disk, or a flash memory, or may be carried via a data communication network such as the Internet. It may be supplied to the terminal 91. Note that the mobile terminal 91 may be a mobile phone (including feature phones and smartphones), a tablet terminal, a notebook personal computer, a PDA, or the like.

The measurement control module 911 controls the start and end of measurement, the start and stop of vibration of the vibration generation module 912, and the like. For example, the measurement control module 911 sets measurement conditions (number of times of measurement, vibration time, etc.) when the timing for executing measurement arrives, and starts and stops vibration in the vibration generation module 912 according to the set measurement conditions. Is executed. In addition, the measurement execution timing may be set for each predetermined time interval, may be a timing at which a predetermined event occurs in the mobile terminal 91, or may be predetermined from another device in the mobile terminal 91. It is good also as the timing which received the signal.
The vibration generation module 912 includes, for example, a weight and a motor that rotates the weight, and vibrates the mobile terminal 91 according to control by the measurement control module 911. The vibration generation module 912 starts vibration at the timing (T1) designated by the measurement control module 911, stops vibration after continuing the vibration until the timing (T2 (<T1)) designated by the measurement control module 911. The process is repeated a specified number of times.
The acceleration detection module 913 includes, for example, an acceleration sensor, and detects the acceleration of the mobile terminal 91. The acceleration detection module 913 includes an X-direction acceleration detection module 913X, a Y-direction acceleration detection module 913Y, and a Z-direction acceleration detection module 913Z. The in-plane direction of the installation surface relative to the object of the portable terminal 91 and the out-of-plane direction of the installation surface The accelerations in the three directions (for example, the normal direction) are detected. The X and Y directions correspond to the in-plane direction of the installation surface of the mobile terminal 91 (the surface on which the display is provided or its back surface), and the Z direction corresponds to the normal direction to the installation surface. Yes.

The acceleration data recording module 914 records the acceleration data detected by the acceleration detection module 913 in association with time based on the vibration generated by the vibration generating module 912 according to the control by the measurement control module 911. The acceleration data recording module 914 includes an X-direction acceleration data recording module 914X, a Y-direction acceleration data recording module 914Y, and a Z-direction acceleration data recording module 914Z, and the installation in-plane direction (X and Y directions) of the mobile terminal 91, Acceleration data in three directions in the normal direction (Z direction) of the installation surface are recorded in association with the measurement time.
The data acquisition module 915 acquires data (use data) used for the material determination process for the installation surface of the mobile terminal 91. The data acquisition module 915 may download usage data from a predetermined device (server), or may read usage data from a storage medium storing the usage data. For example, the data acquisition module 915 downloads the latest usage data from the predetermined device and communicates with the predetermined device when communication with the predetermined device is possible at the start of measurement. If this is not possible, use data that has already been acquired may be used.
For example, the usage data acquired by the data acquisition module 915 includes time-dependent transition information of force generated in the X, Y, and Z directions due to vibration by the vibration generation module 912, friction coefficient for each material, and range of restitution coefficient. Data that defines the range of acceleration amplitudes in the X, Y, and Z directions for each material are included.
The data holding module 916 holds the usage data acquired by the data acquisition module 915. Hereinafter, an example of data held by the data holding module 916 will be described.

FIG. 10 shows an example of force data by the vibration generation module 912 held in the data holding module 916. In the example shown in FIG. 10, the horizontal axis represents time t (vibration starts at t = 0), and the vertical axis represents force (N). The force data by the vibration generating module 912 may be determined in advance for each model of the mobile terminal.
FIG. 11 shows an example of the first material feature data table held in the data holding module 916. In the first material feature data table shown in the example of FIG. 11, there are a material ID for identifying a material, material description information, a range of values that the material friction coefficient can take, and a range of values that the material restitution coefficient can take. They are stored in association with each other.

FIG. 12 shows an example of acceleration data in each of the triaxial directions for each material. The example in FIG. 12 shows acceleration data in the X, Y, and Z directions when the material is carpet (A), and acceleration data in the X, Y, and Z directions when the material is plastic (B). Yes. As shown in the example of FIG. 12, the carpet (A) has eyes and has directivity in the ease of movement in the in-plane direction, whereas the plastic (B) has an in-plane direction. There is no directivity in the ease of movement. Further, since the carpet (A) is softer than the plastic (B), the acceleration in the Z direction is smaller than that of the plastic. Thus, there is a difference in the combinations of values that can be taken by the triaxial acceleration data for each material. FIG. 13 and FIG. 14 show an example of acceleration characteristics determined for each material, focusing on the fact that there is a difference in the combinations of values that can be taken by the triaxial acceleration data for each material.
FIG. 13 shows an example of the second material feature data table held in the data holding module 916. In the second material feature data table shown in the example of FIG. 13, the material ID for identifying the material, the material description information, the range of values that the acceleration amplitude in the X direction can take, and the values that the acceleration amplitude in the Y direction can take. A range and a range of values that can be taken by the acceleration amplitude in the Z direction are stored in association with each other.

FIG. 14 shows another example of the second material feature data table held in the data holding module 916. In the second material feature data table shown in the example of FIG. 14, the material ID for identifying the material, the description information of the material, the range of values that the acceleration amplitude on the XY plane can take, and the variation (deviation, variance) of the acceleration on the XY plane ), A range of values that the acceleration amplitude in the Z direction can take is stored in association with each other.
The friction coefficient calculation module 917 calculates a friction coefficient (dynamic friction coefficient) between the object on which the mobile terminal 91 is placed and the mobile terminal 91 based on the acceleration data of the mobile terminal 91 in the in-plane direction of the mobile terminal 91. For example, the friction coefficient calculation module 917 includes the X direction acceleration data recorded in the X direction acceleration data recording module 914X and the X direction force generated by the vibration generation module 912 held in the data holding module 916. The friction coefficient in the X direction is calculated based on the data in the Y direction, and the acceleration data of the portable terminal 91 in the Y direction recorded in the Y direction acceleration data recording module 914Y and the vibration generation module 912 held in the data holding module 916 are used. The friction coefficient in the Y direction may be calculated based on the generated Y direction force data. Details of the friction coefficient calculation process will be described later.

The restitution coefficient calculation module 918 calculates the restitution coefficient between the surface on which the mobile terminal 91 is placed and the mobile terminal 91 based on the acceleration data of the mobile terminal 91 in the normal direction of the installation surface of the mobile terminal 91. For example, the coefficient of restitution calculation module 918 uses the normal direction velocity of the installation surface before and after the collision obtained based on the acceleration data of the mobile terminal 91 in the Z direction recorded in the Z direction acceleration data recording module 914Z. The direction restitution coefficient may be calculated. Details of the processing for calculating the coefficient of restitution will be described later.
The acceleration amplitude calculation module 919 calculates the amplitude of acceleration at the time of occurrence of vibration based on the acceleration data recorded in the acceleration data recording module 914. For example, the acceleration amplitude calculation module 919 calculates the acceleration amplitude in the X direction based on the acceleration data of the mobile device 91 in the X direction recorded in the X direction acceleration data recording module 914X, and records it in the Y direction acceleration data recording module 914Y. The Y direction acceleration amplitude is calculated based on the Y direction mobile terminal 91 acceleration data, and the Z direction acceleration is calculated based on the Z direction mobile terminal 91 acceleration data recorded in the Z direction acceleration data recording module 914Z. The amplitude may be calculated. The acceleration amplitude calculation module 919 may calculate acceleration amplitude in the XY plane, acceleration in the X direction in the XY plane, and variation in acceleration in the Y direction.

The material determination module 920 is based on at least one of the friction coefficient calculated by the friction coefficient calculation module 917, the restitution coefficient calculated by the restitution coefficient calculation module 918, and the acceleration amplitude calculated by the acceleration amplitude calculation module 919. The material of the object on which the terminal 91 is placed is determined.
For example, when the material determination module 920 uses the friction coefficient and the restitution coefficient for the determination of the material, the friction coefficient and the restitution coefficient calculated by the friction coefficient calculation module 917 from the first material characteristic data table are calculated. A material that includes each of the coefficient of restitution calculated by the module 918 is searched, and when the material is searched, the searched material may be determined as the material of the object on which the mobile terminal 91 is placed. .
Further, for example, when the triaxial acceleration amplitude is used for the material judgment, the material judgment module 920 searches the second material feature data table for materials each including the triaxial acceleration amplitude in the range. When the material is retrieved, the retrieved material may be determined as the material of the object on which the mobile terminal 91 is placed.
In addition, for example, when the material determination module 920 uses the friction coefficient and the restitution coefficient and the triaxial acceleration amplitude for the determination of the material, among the materials retrieved based on the friction coefficient and the restitution coefficient, The material including the material retrieved based on the acceleration amplitude may be determined as the material of the object on which the mobile terminal 91 is placed, or the material retrieved based on the friction coefficient and the restitution coefficient and the triaxial acceleration. The material included in either one of the materials searched based on the amplitude may be determined as the material of the object on which the mobile terminal 91 is placed.
The information processing switching module 921 executes information processing according to the material determined by the material determination module 920. For example, in the information processing switching module 921, the material determined by the material determination module 920 is a predetermined material (for example, a material used for a dashboard of a car) and is calculated from the acceleration data recording module 914. When the amount of movement in the direction exceeds the threshold value, warning information may be output from the portable terminal 91 (for example, an alert sound is sounded).

[Explanation of flowchart]
Next, an example of processing executed by the mobile terminal 91 will be described with reference to the flowcharts shown in the examples of FIGS.
[Material judgment processing]
In the example of FIG. 15, the flowchart of the material determination process which determines the material of the object in which the portable terminal 91 is performed performed by the portable terminal 91 was shown. Hereinafter, the material determination process described below is executed when the mobile terminal 91 detects a periodic timing or a predetermined event (for example, when a determination signal is received or when a strong impact is detected). It can be done.

As shown in the example of FIG. 15, the mobile terminal 91 performs initial settings (for example, setting of vibration patterns (data table, vibration time), setting of mass m of the mobile terminal 91, etc.) according to the model and environment. In addition, the number of times of measurement (N times) is also set (S1504). The number of measurements N may be an integer of 1 or more.
The portable terminal 91 initializes the variable i to 1 (S1506), starts generation of vibration by the vibration generation module 912 (S1508), and sequentially stores acceleration data in the X, Y, and Z directions by corresponding acceleration sensors. Measure and record in association with time (S1510).
If the elapsed time from the start of vibration is not equal to or greater than the threshold T (S1512: N), the portable terminal 91 continues to generate vibration and returns to S1510 to record triaxial acceleration data. On the other hand, when the elapsed time from the start of vibration is equal to or greater than the threshold T (S1512: Y), the mobile terminal 91 stops the vibration (S1514).

  When the variable i has not reached N after stopping the vibration (S1516: N), the mobile terminal 91 increments the variable i (adds 1) (S1518) and sets a predetermined time interval. After waiting, the processing of S1508 may be started. If the variable i has reached N in S1516 (S1516: Y), the portable terminal 91 performs noise cancellation processing on the recorded acceleration data (S1520), and then stores the recorded acceleration data in the recorded acceleration data. Based on this, the coefficient of friction calculation process is executed (S1522). Details of the friction coefficient calculation process will be described based on the flowchart shown in the example of FIG.

[Friction coefficient calculation processing]
The example of FIG. 16 shows a flowchart of the friction coefficient calculation process. As shown in the example of FIG. 16, the mobile terminal 91 acquires the mass m of the mobile terminal 91 (S1602), and acquires data of the force F _x (t) due to vibration in the X direction from the data holding module 916 ( S1604).
The portable terminal 91 initializes the variable i to 1 (S1606), and sets the dynamic friction coefficient μ _xi based on the acceleration a _x (t), the force F _x (t), and the mass m in the X direction in the i-th measurement data. Calculate (S1608). Time t is set to 0 when vibration starts. Here, the dynamic friction coefficient calculation processing may be performed based on the physical model shown in the example of FIG.

In the example of the physical model shown in FIG. 19, it is assumed that the portable terminal 91 is placed on the object 92, and the mass M of the object 92 is sufficiently heavier than the mass m of the portable terminal 91. Assume that the mass is infinite (the object is fixed). Further, it is assumed that the vibration generator (vibrator) provided in the mobile terminal 91 is sufficiently lighter than the mass m of the mobile terminal 91 and the mass of the vibration generating module 912 is infinitesimal (0). Furthermore, it is assumed that the motion change in the Z direction is not taken into account, and F _cx (t) operates with a predetermined force, and the mobile terminal 91, the object 92, and the vibration generation module 912 are rigid bodies. In this case, the dynamic friction coefficient μ calculated in the X direction is calculated by the following equation (1). N is vertical drag and is equal to mg.
If the variable i has not reached N (S1610: N), the mobile terminal 91 increments (adds 1) the variable i (S1612), returns to S1608, and if the variable i reaches N (S1610: Y), the process proceeds to S1614.
The mobile terminal 91, based on the 1st to N-th times are calculated for each measurement the dynamic friction coefficient μ _x1 ~μ _xN, calculates the X-direction of the dynamic friction coefficient μ _x (S1614). For example, the mobile terminal 91 may calculate an average value of μ _x1 to μ _xN as μ _x .

Next, the portable terminal 91 acquires data of the force F _y (t) due to the vibration in the Y direction from the data holding module 916 (S1616), initializes the variable i to 1 (S1618), and the i-th measurement data The dynamic friction coefficient μ _yi is calculated by the equation (1) based on the acceleration a _y (t), the force F _y (t), and the mass m in the Y direction (S1620). Time t is set to 0 when vibration starts.
When the variable i has not reached N (S1622: N), the mobile terminal 91 increments (adds 1) the variable i (S1624), returns to S1620, and when the variable i reaches N (S1622: Y), the process proceeds to S1626.
The mobile terminal 91, based on the dynamic friction coefficient μ _y1 ~μ _yN calculated for each measurement 1 to N, calculate the dynamic friction coefficient mu _y in the Y direction (S1626), the process returns (S1699). For example, the mobile terminal 91 may calculate an average value of μ _y1 to μ _yN as μ _y .

  Returning to the flowchart of FIG. When the portable terminal 91 finishes the friction coefficient calculation process, it next executes a coefficient of restitution calculation process based on the recorded acceleration data (S1524). Details of the processing for calculating the coefficient of restitution will be described based on the flowchart shown in the example of FIG.

[Restitution coefficient calculation processing]
As illustrated in the example of FIG. 17, the mobile terminal 91 initializes the variable i to 1 (S1702), and based on the acceleration a _z (t) in the Z direction in the i-th measurement data, calculating a collision time _{t 1} to the object (S1704). The time t is set to 0 at the start of vibration, and the coordinate position in the Z direction at the start of vibration is set to 0.
Based on the acceleration a _z (t) in the Z direction in the i-th measurement data, the portable terminal 91 calculates the velocity V of t _1A (t _1A = t ₁ −Δt) immediately before the collision time t ₁ using the following equation (2 ) (S1706), and the speed U of t _1B (t _1B = t ₁ + Δt) immediately after the collision time t ₁ is calculated by the following equation (3) (S 1708). Then, the portable terminal 91 calculates the restitution coefficient e _i based on the calculated V and U by the following equation (4) (S1710).

If the variable i has not reached N (S1712: N), the portable terminal 91 increments the variable i (adds 1) (S1714), returns to S1704, and if the variable i reaches N, (S1712: Y), the process proceeds to S1716.
The portable terminal 91 calculates the restitution coefficient e based on the restitution coefficients e _{1 to} e _N calculated for each of the measurements 1 to _N (S1716), and returns (S1799). For example, the mobile terminal 91 may calculate the average value of e ₁ to e _N as e.

  Next, returning to the flowchart of the example of FIG. When the portable terminal 91 finishes the calculation process of the coefficient of restitution, the portable terminal 91 next executes a calculation process of the acceleration amplitude based on the recorded acceleration data (S1526). The details of the acceleration amplitude calculation process will be described based on the flowchart shown in the example of FIG.

[Acceleration amplitude calculation processing]
As shown in the example of FIG. 18, the mobile terminal 91 initializes a variable i to 1 (S1802), calculates the acceleration amplitude _{A xi} of X direction in the i-th measurement data (S1804), the i-th An acceleration amplitude A _yi in the Y direction in the measurement data is calculated (S1806), and an acceleration amplitude A _zi in the Z direction in the i-th measurement data is calculated (S1808). The acceleration amplitude may be the difference between the maximum value and the minimum value of acceleration that appear periodically.
If the variable i has not reached N (S1810: N), the mobile terminal 91 increments (adds 1) the variable i (S1812), returns to S1804, and if the variable i reaches N (S1810: Y), the process proceeds to S1814.
The mobile terminal 91, based on the acceleration amplitude _A x1 _{to A xN} of X direction calculated regarding each of the 1st to N-th time measurement, to calculate the acceleration amplitude _{A x} of the X direction (S1814), measuring 1 based on the acceleration amplitude _a y1 _{to a yN} of the calculated Y-direction for each to N, calculating an acceleration amplitude _{a y} of the Y direction (S1816), calculated for each of the 1st to N-th single measurement Based on the acceleration amplitudes A _{z1 to} A _zN in the Z direction, the acceleration amplitude A _z in the Z direction is calculated (S1818), and the process returns (S1899). For example, the mobile terminal 91 _is good as possible to calculate the average value of _A x1 _{~A xN} A _x, the mean value of the _A y1 _{~A yN} A _y, a mean value of the A z1 _{to A zN} as _{A z.}

Returning to the flowchart of the example of FIG. After completing the calculation processing of the acceleration amplitude, the mobile terminal 91 determines the material of the object on which the mobile terminal 91 is placed based on at least one of the calculated friction coefficient, restitution coefficient, and acceleration amplitude (S1528). ). A specific example of the material determination process will be described below.
When the mobile terminal 91 determines the material using the friction coefficient and the restitution coefficient, the range of the friction coefficient calculated in S1522 and the restitution coefficient calculated in S1524 from the first material feature data table, respectively. The identification information (material ID) of the material included in is searched. Here, when the identification information (material ID) of the material that includes the friction coefficient calculated in S1522 and the restitution coefficient calculated in S1524 is not searched, the mobile terminal 91 returns an error, The material may be determined using the triaxial acceleration amplitude calculated in S1526.
Here, when the mobile terminal 91 determines the material using the triaxial acceleration amplitude, the triaxial acceleration amplitude (X, Y, and X) calculated in S1526 is selected from the second material feature data table. The material identification information (material ID) including the respective acceleration amplitudes in the Z direction) is searched. Here, when the portable terminal 91 holds the magnitude of the acceleration amplitude in the XY plane and the range of variation (deviation) of the acceleration in the X and Y directions in the second material feature data table. The acceleration amplitude magnitude A _xy in the XY plane is calculated based on the X-direction acceleration amplitude and the Y-direction acceleration amplitude, and the X-direction acceleration amplitude and the Y-direction in the first to Nth measurements are calculated. The deviation σ indicating the scale of variation based on the value taken by the acceleration amplitude of A may be calculated, and material identification information (material ID) including A _xy , the deviation σ, and the acceleration amplitude A _z in the Z direction as a range may be searched. . Here, the portable terminal 91 may return an error when the material identification information (material ID) corresponding to the acceleration amplitude calculated in S1526 is not searched.
In addition, the portable terminal 91 uses, as the material ID of the surface on which the portable terminal 91 is placed, the material ID included in the material ID determined using the acceleration amplitude among the material IDs determined using the friction coefficient and the restitution coefficient. It may be determined.

  The portable terminal 91 may execute information processing according to the material determined in S1528 (S1530). For example, the mobile terminal 91 may change the intensity of vibration according to the material determined in S1528. If the material determined in S1528 is a dashboard of an automobile, the mobile terminal 91 may An alert sound may be output, or when the material determined in S1528 is a carpet, the operation of the mobile terminal 91 at the time of incoming call may be switched from vibration to sound effect. In addition, when a request for searching for a place where the mobile terminal 91 is placed is received, the material determination process is executed, and the information on the determined material is output by voice, so that the user finds the mobile terminal 91. It becomes easy.

The mobile terminal 91 described above can determine the material of the object on which the mobile terminal 91 is placed, and can execute processing according to the determined material.
Further, the environment detection module 150 is not limited to the one described above. For example, the environment detection module 150 executes the material determination process based on the friction coefficient, the restitution coefficient, and the acceleration amplitude information, but transmits the calculated friction coefficient, the restitution coefficient, and the acceleration amplitude information to the server. The server may determine the corresponding material based on the transmitted friction coefficient, restitution coefficient, and acceleration amplitude information, and transmit the result to the portable terminal 91. Alternatively, the acceleration data recorded by the portable terminal 91 may be transmitted to the server, and the server may calculate the friction coefficient, the coefficient of restitution, and the acceleration amplitude.

The environment detection module 150 described above may be grasped as follows.
[B1]
An acceleration measuring means for measuring the acceleration of the mobile terminal;
1st characteristic with respect to the in-plane direction which contacts the said object based on the acceleration measured by the said acceleration measurement means at the time of vibrating the said portable terminal in the state which the said portable terminal was put on the target object A calculating means for calculating a second feature amount for the amount and the out-of-plane direction;
A mobile terminal comprising: specifying means for specifying a material of the object based on the first feature value and the second feature value.
[B2]
The specifying unit is configured to store the first feature amount range and the second feature amount range in association with each other for each of one or more materials, and store the first feature amount range calculated by the calculation unit. Identifying the material of the object based on the feature quantity and the second feature quantity;
The mobile terminal according to [B1].
[B3]
The first feature amount includes an amplitude of acceleration measured by the acceleration measuring unit in each of the first direction and the second direction in the in-plane direction,
The second feature amount includes an amplitude of acceleration measured by the acceleration measuring unit in the out-of-plane direction.
The mobile terminal according to [B1] or [B2].
[B4]
The mobile terminal includes vibration generating means for vibrating the mobile terminal,
The calculation means includes the mobile terminal based on the force generated by the vibration generation means in the in-plane direction, the acceleration measured by the acceleration measurement means in the in-plane direction, and the mass of the mobile terminal. Calculate the dynamic friction coefficient of the object,
The first feature amount includes the dynamic friction coefficient.
The mobile terminal according to [B1] to [B3].

[B5]
The calculating means calculates the speed in the out-of-plane direction before the portable terminal collides with the object, and the portable terminal collides with the object, calculated based on the acceleration measured by the acceleration measuring means. Based on the speed in the out-of-plane direction after calculating the restitution coefficient of the mobile terminal and the object,
The second feature amount includes the restitution coefficient,
The mobile terminal according to [B1] to [B3].
[B6]
A portable terminal equipped with an acceleration measuring means for measuring acceleration;
1st characteristic with respect to the in-plane direction which contacts the said object based on the acceleration measured by the said acceleration measurement means at the time of vibrating the said portable terminal in the state which the said portable terminal was put on the target object A calculating means for calculating a second feature amount for the amount and the out-of-plane direction;
A mobile terminal state determination system including: a specifying unit that specifies a material of the object based on the first feature amount and the second feature amount.
[B7]
An acceleration measuring means for measuring the acceleration of the mobile terminal;
1st characteristic with respect to the in-plane direction which contacts the said object based on the acceleration measured by the said acceleration measurement means at the time of vibrating the said portable terminal in the state which the said portable terminal was put on the target object A calculating means for calculating a second feature amount for the amount and the out-of-plane direction;
A program for causing a computer to function as specifying means for specifying the material of the object based on the first feature value and the second feature value.

According to [B1], [B6], and [B7], the material of the object on which the mobile terminal is placed can be specified.
According to [B2], the material of the object can be specified for each material by associating the range of the feature amount.
According to [B3], the material of the object can be specified using the amplitude of the acceleration.
According to [B4], the material of the object can be specified from the coefficient of dynamic friction with the object on which the mobile terminal is placed.
According to [B5], the material of the object can be specified from the restitution coefficient with the object on which the mobile terminal is placed.

  Note that the hardware configuration of the computer on which the program according to the present embodiment is executed is a general computer as illustrated in FIG. 21, specifically, a personal computer, a computer that can be a server, or the like. That is, as a specific example, the CPU 2101 is used as a processing unit (calculation unit), and the RAM 2102, ROM 2103, and HD 2104 are used as storage devices. For example, a hard disk may be used as the HD 2104. A CPU 2101 for executing programs such as a schedule processing module 110, a document acquisition module 120, a document decryption / re-encryption processing module 130, a position detection module 140, an environment detection module 150, a peripheral device detection module 160, an event detection module 170, etc. A RAM 2102 for storing the program and data, a ROM 2103 for storing a program for starting the computer, an HD 2104 as an auxiliary storage device (may be a flash memory, etc.), a keyboard, a mouse, a touch panel For connecting to a receiving device 2106 that accepts data based on a user's operation on the device, an output device 2105 such as a CRT or a liquid crystal display, and a communication network such as a network interface card. Communication line interface 2107, and, and a bus 2108 for exchanging data by connecting them. A plurality of these computers may be connected to each other via a network.

Among the above-described embodiments, the computer program is a computer program that reads the computer program, which is software, in the hardware configuration system, and the software and hardware resources cooperate with each other. Is realized.
Note that the hardware configuration shown in FIG. 21 shows one configuration example, and the present embodiment is not limited to the configuration shown in FIG. I just need it. For example, some modules may be configured with dedicated hardware (for example, ASIC), and some modules may be in an external system and connected via a communication line. A plurality of systems shown in FIG. 5 may be connected to each other via communication lines so as to cooperate with each other. In particular, in addition to a personal computer, it may be incorporated in an information appliance, a copier, a fax machine, a scanner, a printer, a multifunction machine, or the like.

The program described above may be provided by being stored in a recording medium, or the program may be provided by communication means. In that case, for example, the above-described program may be regarded as an invention of a “computer-readable recording medium recording the program”.
The “computer-readable recording medium on which a program is recorded” refers to a computer-readable recording medium on which a program is recorded, which is used for program installation, execution, program distribution, and the like.
The recording medium is, for example, a digital versatile disc (DVD), which is a standard established by the DVD Forum, such as “DVD-R, DVD-RW, DVD-RAM,” and DVD + RW. Standard “DVD + R, DVD + RW, etc.”, compact disc (CD), read-only memory (CD-ROM), CD recordable (CD-R), CD rewritable (CD-RW), Blu-ray disc ( Blu-ray (registered trademark) Disc), magneto-optical disk (MO), flexible disk (FD), magnetic tape, hard disk, read-only memory (ROM), electrically erasable and rewritable read-only memory (EEPROM (registered trademark)) )), Flash memory, random access memory (RAM), S A D (Secure Digital) memory card is included.
The program or a part of the program may be recorded on the recording medium for storage or distribution. Also, by communication, for example, a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), a wired network used for the Internet, an intranet, an extranet, etc., or wireless communication It may be transmitted using a transmission medium such as a network or a combination of these, or may be carried on a carrier wave.
Furthermore, the program may be a part of another program, or may be recorded on a recording medium together with a separate program. Moreover, it may be divided and recorded on a plurality of recording media. Further, it may be recorded in any manner as long as it can be restored, such as compression or encryption.
The above-described embodiment may be grasped as follows.
[C1] first determination means for determining whether or not a predetermined date and time before the start date and time of a meeting where a plurality of people gather is passed;
A first receiving unit that receives information indicating a position of a participant of the meeting when the first determining unit determines that the date and time have passed;
Second receiving means for receiving information on the environment of the mobile terminal owned by the participant;
Second determination means for determining whether or not there is the participant at the meeting place based on information received by the first reception means and the second reception means;
Decoding means for decoding a document necessary for the meeting when the second determining means determines that the participant is at the meeting place
An information processing apparatus comprising:
[C2] First detection means for acquiring a sound around the portable terminal and detecting an environment of the portable terminal based on the sound
Further comprising
The information received by the second receiving means is information on the environment of the mobile terminal detected by the first detecting means.
The information processing apparatus according to [C1].
[C3] Second detection means for vibrating the mobile terminal and detecting acceleration of the mobile terminal during the vibration
Further comprising
The information received by the second receiving means is information relating to the acceleration of the mobile terminal detected by the second detecting means.
The information processing apparatus according to [C1] or [C2].
[C4] Third detection means for detecting a device capable of communicating with the portable terminal
Further comprising
The information received by the second receiving means is information regarding the device detected by the third detecting means.
The information processing apparatus according to any one of [C1] to [C3].
[C5] first detection means for acquiring a sound around the portable terminal and detecting an environment of the portable terminal based on the sound;
A second detection means for vibrating the mobile terminal and detecting an acceleration of the mobile terminal during the vibration;
Third detection means for detecting a device capable of communicating with the portable terminal
Further comprising
The information received by the second receiving means includes first information relating to the environment of the portable terminal detected by the first detecting means, and information relating to acceleration of the portable terminal detected by the second detecting means. 2 information and third information related to the device detected by the third detection means,
The second determination means performs determination processing based on a total value obtained by multiplying each of the first information, the second information, and the third information by a count.
The information processing apparatus according to [C1].
[C6] Third determination means for determining whether or not the meeting is ended based on information received by the second reception means after the decoding process is performed by the decoding means;
Processing means for performing processing to make browsing of the document impossible when it is determined by the third determination means that the meeting has ended
The information processing apparatus according to any one of [C1] to [C5], further including:
[C7]
A first determination means for determining whether or not a predetermined date and time before the start date and time of the meeting where a plurality of people gather;
A first receiving unit that receives information indicating a position of a participant of the meeting when the first determining unit determines that the date and time have passed;
Second receiving means for receiving information on the environment of the mobile terminal owned by the participant;
Second determination means for determining whether or not there is the participant at the meeting place based on information received by the first reception means and the second reception means;
Decoding means for decoding a document necessary for the meeting when the second determining means determines that the participant is at the meeting place
Information processing program to function as
And the above-mentioned invention has the following effects.
According to the information processing apparatus of [C1], when a document used for the meeting is decoded after a predetermined date and time before the meeting start date and time, the participant is not at the meeting place. Nevertheless, it is possible to prevent the document from being decrypted.
According to the information processing apparatus of [C2], it is possible to determine whether or not the participant is at the meeting place based on the sound around the mobile terminal owned by the participant.
According to the information processing apparatus of [C3], based on the acceleration of the mobile terminal while the mobile terminal owned by the participant is vibrating, it is determined whether or not the participant is at the meeting place. be able to.
According to the information processing apparatus of [C4], it is possible to determine whether or not the participant is at the meeting place based on an apparatus that can communicate with the mobile terminal owned by the participant.
According to the information processing apparatus [C5], the determination process can be performed based on the total value obtained by multiplying each of the first information, the second information, and the third information by a count.
According to the information processing apparatus [C6], when the meeting is ended, it is possible to make it impossible to view the document.
According to the information processing program of [C7], when a document used for the meeting is decoded after a predetermined date and time before the meeting start date and time, the participant is not at the meeting place. Regardless, it is possible to prevent the document from being decrypted.

DESCRIPTION OF SYMBOLS 91 ... Portable terminal 92 ... Object 100 ... Information processing apparatus 110 ... Schedule processing module 120 ... Document acquisition module 130 ... Document decryption / re-encryption processing module 140 ... Position detection module 150 ... Environment detection module 160 ... Peripheral device detection module 170 ... event detection module 710 ... signal input module 712 ... spectrogram generation module 714 ... pre-processing module 716 ... band pass filter module 718 ... non-linear transformation module 720 ... binarization module 722 ... two-dimensional Fourier transform module 724 ... classification processing module 726 ... Periodic feature detection module 728 ... Image-based classification module 730 ... Template image DB
732 ... Feature-based classification module 734 ... Periodic feature DB
911 ... Measurement control module 912 ... Vibration generation module 913 ... Acceleration detection module 913X ... X direction acceleration detection module 913Y ... Y direction acceleration detection module 913Z ... Z direction acceleration detection module 914 ... Acceleration data recording module 914X ... X direction acceleration data recording module 914Y ... Y-direction acceleration data recording module 914Z ... Z-direction acceleration data recording module 915 ... Data acquisition module 916 ... Data holding module 917 ... Friction coefficient calculation module 918 ... Repulsion coefficient calculation module 919 ... Acceleration amplitude calculation module 920 ... Material determination module 921 ... Information processing switching module

Claims (9)

First receiving means for receiving information indicating positions of participants of a meeting where a plurality of people gather ;
Second receiving means for receiving information on the environment of the mobile terminal owned by the participant;
In the case where a predetermined date and time before the meeting start date has passed , based on the information received by the first receiving means and the second receiving means, the participation place If the person is present, the decoding means for decoding the document necessary the association,
Vibrating the mobile terminal, and comprising second detection means for detecting the acceleration of the mobile terminal during the vibration ,
The information received by the second receiving means is information relating to acceleration of the portable terminal detected by the second detecting means . First receiving means for receiving information indicating positions of participants of a meeting where a plurality of people gather ;
Second receiving means for receiving information on the environment of the mobile terminal owned by the participant;
In the case where a predetermined date and time before the meeting start date has passed , based on the information received by the first receiving means and the second receiving means, the participation place If the person is present, the decoding means for decoding the document necessary the association,
A processing unit that performs a process of making it impossible to view the document when the meeting is ended based on the information received by the second receiving unit after the decoding process is performed by the decoding unit. An information processing apparatus comprising: A first detecting means for acquiring a sound around the portable terminal and detecting an environment of the portable terminal based on the sound;
Said second receiving means receives information processing apparatus according to claim 1 or 2, characterized in that the information about the environment of the first of the mobile terminal detected by the detecting means. Further comprising third detecting means for detecting a device capable of communicating with the portable terminal;
4. The information processing apparatus according to claim 1, wherein the information received by the second receiving unit is information regarding the apparatus detected by the third detection unit. 5. First receiving means for receiving information indicating positions of participants of a meeting where a plurality of people gather;
Second receiving means for receiving information on the environment of the mobile terminal owned by the participant;
In the case where a predetermined date and time before the meeting start date has passed, based on the information received by the first receiving means and the second receiving means, the participation place A decryption means for decrypting a document necessary for the meeting;
First detecting means for acquiring a sound around the portable terminal and detecting an environment of the portable terminal based on the sound;
A second detection means for vibrating the mobile terminal and detecting an acceleration of the mobile terminal during the vibration;
Third detection means for detecting a device capable of communicating with the portable terminal
Comprising
The information received by the second receiving means includes first information relating to the environment of the portable terminal detected by the first detecting means, and information relating to acceleration of the portable terminal detected by the second detecting means. 2 information and third information related to the device detected by the third detection means,
The decoding means determines whether or not there is the participant at the meeting location based on a total value obtained by multiplying each of the first information, the second information, and the third information by a count. information processing apparatus, which comprises carrying out. A processing unit that performs a process of making it impossible to view the document when the meeting is ended based on information received by the second receiving unit after the decoding process is performed by the decoding unit. The information processing apparatus according to claim 1 , further comprising: Computer
First receiving means for receiving information indicating positions of participants of a meeting where a plurality of people gather ;
Second receiving means for receiving information on the environment of the mobile terminal owned by the participant;
In the case where a predetermined date and time before the meeting start date has passed , based on the information received by the first receiving means and the second receiving means, the participation place If the person is present, the decoding means for decoding the document necessary the association,
Causing the mobile terminal to vibrate and function as second detection means for detecting the acceleration of the mobile terminal during the vibration ,
The information received by the second receiving means is information relating to the acceleration of the mobile terminal detected by the second detecting means.
An information processing program characterized by that . Computer
First receiving means for receiving information indicating positions of participants of a meeting where a plurality of people gather ;
Second receiving means for receiving information on the environment of the mobile terminal owned by the participant;
In the case where a predetermined date and time before the meeting start date has passed , based on the information received by the first receiving means and the second receiving means, the participation place If the person is present, the decoding means for decoding the document necessary the association,
A processing unit that performs a process of making it impossible to view the document when the meeting is ended based on the information received by the second receiving unit after the decoding process is performed by the decoding unit. Information processing program to function as Computer
First receiving means for receiving information indicating positions of participants of a meeting where a plurality of people gather;
  Second receiving means for receiving information on the environment of the mobile terminal owned by the participant;
  In the case where a predetermined date and time before the meeting start date has passed, based on the information received by the first receiving means and the second receiving means, the participation place A decryption means for decrypting a document necessary for the meeting;
First detecting means for acquiring a sound around the portable terminal and detecting an environment of the portable terminal based on the sound;
  A second detection means for vibrating the mobile terminal and detecting an acceleration of the mobile terminal during the vibration;
  Third detection means for detecting a device capable of communicating with the portable terminal
  Function as
  The information received by the second receiving means includes first information relating to the environment of the portable terminal detected by the first detecting means, and information relating to acceleration of the portable terminal detected by the second detecting means. 2 information and third information related to the device detected by the third detection means,
  The decoding means determines whether or not there is the participant at the meeting location based on a total value obtained by multiplying each of the first information, the second information, and the third information by a count. Do
  An information processing program characterized by that.