JP2012249797A - System, program and method for stress analysis - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a stress analysis system, stress analysis program, and method for stress analysis that are capable of managing a condition of stress of a person to be observed in more detail.SOLUTION: The stress analysis system includes: a behavior information acquisition unit for acquiring information on behavior of a person to be observed; a stress acquisition unit for acquiring a degree of stress of the person to be observed based on living information of the person to be observed; a storage unit for storing the information on the behavior of the person to be observed acquired by the behavior information acquisition unit, and the degree of the stress acquired by the stress acquisition unit in association with corresponding time; and an evaluation unit for performing evaluation based on the behavior and the degree of the person to be observed by referring to data stored in the storage unit.

Description

  The present invention relates to a stress analysis system, a stress analysis program, and a stress analysis method for managing the stress of an observer.

  In recent years, efforts have been made to manage the health of employees such as company organizations using ICT (Information and Communication Technology) technology.

  For example, Japanese Unexamined Patent Application Publication No. 2009-026098 (Patent Document 1) discloses a diary creation support system that collects user action time-series information, reduces the burden on the user by supporting diary creation, and improves the effect of service information distribution. To do. This patent document 1 discloses a technique for comparing and displaying the current state against past stable state data by sensing stress on a daily basis, and storing and analyzing the sensing data in a server. Yes.

  More specifically, in Patent Literature 1, the state of stress obtained by sensing vital signs and averaging past stable state data is set as a reference state. As an example of vital signs, amylase activity in saliva is used as an index.

  Japanese Patent Laid-Open No. 2003-204942 (Patent Document 2) discloses a biological state related information providing system that can easily grasp the daily state of a human body and easily perform health management.

JP 2009-026098 A JP 2003-204942 A

  By the way, the vital signs that occur when you feel stress vary greatly from day to day, even for the same person. The reason for this is that the factors of vital sign changes are influenced not only by stress but also by environmental factors such as weather conditions.

  Therefore, as disclosed in Patent Document 1 described above, if a stable state with low past stress is set as a reference state and only a comparison with the reference state is made, the stress state may be erroneously determined. Moreover, the above-mentioned Patent Document 2 does not disclose any of these points.

  The present invention has been made to solve the above-described problems, and its purpose is to provide a stress analysis system, a stress analysis program, and a stress analysis system capable of managing the state of stress of the subject in more detail. It is to provide a stress analysis method.

  A stress analysis system according to an aspect of the present invention includes a behavior information acquisition unit that acquires information about the behavior of an observed person, and a stress acquisition that acquires the degree of stress of the observed person based on the biological information of the observed person Means for storing the information about the behavior of the observed person acquired by the action information acquisition means and the degree of stress acquired by the stress acquisition means in association with the corresponding time, and storing in the storage means And evaluation means for making an evaluation based on the behavior of the subject and the degree of stress with reference to the obtained data.

  Preferably, the evaluation means evaluates the level of stress of the observer based on a reference value determined from the degree of stress when the observer is in a resting state.

  More preferably, the evaluation unit determines that the state where the motion of the person being observed has been stopped for a predetermined period or longer is a resting state.

  Alternatively, more preferably, the evaluation unit determines that the subject is in a resting state when the subject is in a sleeping state.

  Preferably, the evaluation unit generates a warning message when the observed person has not been in a resting state for a predetermined period or longer.

  Preferably, the behavior information acquisition unit includes an image acquisition unit that acquires an image obtained by imaging an observed person who is performing some kind of behavior, and the storage unit is configured to observe the image acquired by the image acquisition unit. The evaluation means displays an image of a scene associated with a state in which the degree of stress of the observer satisfies a predetermined condition.

  Preferably, the behavior information acquisition unit includes an imaging unit that images the observed person, an audio acquisition unit that acquires sound emitted by the observed person, a position information acquisition unit that acquires the presence position of the observed person, and a computer by the observed person At least one of the operation detection means for detecting the operation content is included.

  Preferably, the stress acquisition means includes at least one of an electrocardiograph, a sphygmomanometer, a blood oxygen saturation meter, a thermometer, and a sweating state meter attached to the subject.

  A stress analysis program according to another aspect of the present invention provides a computer using behavior information acquisition means for acquiring information about the behavior of the observed person and the degree of stress of the observed person based on the biological information of the observed person. Storage means for storing the stress acquisition means to acquire, the information about the behavior of the observed person acquired by the behavior information acquisition means, and the degree of stress acquired by the stress acquisition means in association with the corresponding time; By referring to the data stored in the storage means, it functions as an evaluation means for performing an evaluation based on the behavior of the observer and the degree of stress.

  According to another aspect of the present invention, there is provided a stress analysis method executed by a computer, the step of acquiring information on the behavior of the observer, and the degree of stress of the observer based on the biological information of the observer Storing the information about the behavior of the observer and the degree of stress in association with the corresponding time, and referring to the stored data, the behavior of the observer and the degree of stress. And performing an evaluation based on.

  According to the present invention, it is possible to manage the state of stress of the subject in more detail.

It is a schematic diagram which shows the whole structure of the stress analysis system according to embodiment of this invention. It is a schematic diagram which shows the schematic hardware constitutions of the analysis server apparatus according to embodiment of this invention. It is a schematic diagram which shows the schematic hardware constitutions of the vital sensor according to embodiment of this invention. It is a schematic diagram which shows the control structure mounted in the analysis server apparatus according to embodiment of this invention. It is a figure which shows an example of the stress information stored in the stress information storage part according to embodiment of this invention. It is a figure for demonstrating the determination method of the reference value of stress evaluation according to embodiment of this invention. It is a figure for demonstrating the determination method of the reference value of the stress evaluation in a related technique. It is a figure which shows an example of the stress history display screen which the analysis server apparatus according to embodiment of this invention provides. It is a figure which shows an example of the digest display which the analysis server apparatus according to embodiment of this invention provides. It is a flowchart which shows the procedure of the process performed in the analysis server apparatus according to embodiment of this invention.

  Embodiments of the present invention will be described in detail with reference to the drawings. Note that the same or corresponding parts in the drawings are denoted by the same reference numerals and description thereof will not be repeated.

<A. System configuration>
FIG. 1 is a schematic diagram showing an overall configuration of a stress analysis system SYS according to the embodiment of the present invention. With reference to FIG. 1, the stress analysis system SYS according to the present embodiment detects the behavior and stress of the person to be observed and stores them in association with each other. Specifically, the stress analysis system SYS includes an analysis server SRV, a personal computer PC for displaying analysis instructions and analysis results, and various sensors. The analysis server SRV and the personal computer PC are connected via a network NW, and information from various sensors is mainly transmitted via the network NW.

  FIG. 1 shows an example in which the stress analysis system SYS according to the present embodiment is arranged in the company, and a meeting room 10 where each person to be observed works and a meeting room where the person to be observed meets. 20 is illustrated.

  More specifically, the stress analysis system SYS acquires the cameras 11 and 21 that are image acquisition means for imaging the observed person and the sound emitted by the observed person as a behavior sensor that measures the behavior of the observed person. It includes microphones 12 and 22 that are voice acquisition units. These sensor groups constitute at least a part of behavior information acquisition means for acquiring information about the behavior of the observed person. Furthermore, as means for acquiring information about the behavior of the observer, position information acquisition means such as GPS (Global Positioning System) for acquiring the presence position of the observer, and the operation contents of the personal computer by the observer are included. Operation detecting means for detecting (computer work log system) or the like (both not shown) may be employed. As described above, the stress analysis system SYS sequentially determines the actions being performed by the subject based on information from various sensors.

  It is assumed that the person to be observed wears a vital sensor 50 for detecting his / her biological information (hereinafter also referred to as “vital sign”). As will be described later, the vital sensor 50 provides biological information (specifically, heart rate, heartbeat waveform, blood pressure, blood oxygen saturation, body temperature, sweating degree, etc.) of the person wearing the vital sensor 50. It is detected and transmitted to the analysis server SRV at a predetermined timing. The vital sensor 50 constitutes at least a part of a stress acquisition unit that acquires the degree of stress of the observer based on the biological information of the observer. FIG. 1 shows an example in which the vital sign detected by the vital sensor 50 is transmitted via a wireless signal and transmitted to the analysis server SRV via the wireless repeater 31.

  The analysis server SRV receives and receives the vital signs (heart rate, heartbeat waveform, blood pressure, blood oxygen saturation, body temperature, sweating, etc.) of each subject detected by the vital sensor 50. The degree of stress of the observer is acquired based on the vital signs (biological information) of each observer. Then, the analysis server SRV stores the acquired information on the behavior of the observed person and the acquired degree of stress in association with the corresponding time. Further, the analysis server SRV refers to the stored data and evaluates based on the behavior of the observer and the degree of stress.

Hereinafter, details of each configuration and details of processing will be described.
<B. Hardware configuration>
(B1: Analysis server SRV)
First, the hardware configuration of the analysis server SRV will be described.

  FIG. 2 is a schematic diagram showing a schematic hardware configuration of analysis server SRV according to the embodiment of the present invention. Referring to FIG. 2, analysis server SRV is executed by CPU 200 that executes various programs including an operating system, memory 212 that temporarily stores data necessary for execution of programs by CPU 200, and CPU 200. And a hard disk 210 that stores the program in a nonvolatile manner. Such a program is read from a CD-ROM 214a or a flexible disk 216a by a CD-ROM (Compact Disk-Read Only Memory) drive 214 or a flexible disk (FD: Flexible Disk) drive 216, respectively.

  The CPU 200 receives an operation request from the user via the input unit 208 including a keyboard and a mouse, and outputs a screen output generated by executing the program to the display 204. The CPU 200 performs data communication with various sensors and a personal computer PC via a network interface (I / F) 206 including a LAN card. These parts are connected to each other via the internal bus 202.

  In the hard disk 210, the acquired information on the behavior of the observed person and the acquired degree of stress are stored in association with the corresponding time.

(B2: Personal computer PC)
Since the schematic hardware configuration of personal computer PC is the same as that of analysis server SRV shown in FIG. 2, detailed description will not be repeated.

(B3: vital sensor 50)
Next, the hardware configuration of the vital sensor 50 will be described.

  FIG. 3 is a schematic diagram showing a schematic hardware configuration of vital sensor 50 according to the embodiment of the present invention. Referring to FIG. 3, the vital sensor 50 includes a transmission unit 51, a control unit 52 including a timer 53, an electrocardiograph 54, a sphygmomanometer 55, a blood oxygen saturation meter 56, and a thermometer 57. , A sweating state meter 58 and a battery 59.

  The transmission part 51 transmits the detection value (vital sign) detected by each measuring meter mentioned later to the analysis server apparatus SRV etc. As the transmission unit 51, a known transmission method can be employed, but typically, a LAN (Local Area Network) conforming to an IP (Internet Protocol) network, a wireless LAN conforming to IEEE 802.11, or the like can be employed. . Alternatively, wide-area wireless communication such as a cellular phone network or WiMAX (registered trademark), or short-range wireless communication such as infrared communication or ZigBee (registered trademark) can be employed.

  The electrocardiograph 54, the sphygmomanometer 55, the blood oxygen saturation meter 56, the thermometer 57, and the sweating state meter 58 detect a vital sign that is highly correlated with the stress felt by humans. These detected vital signs are transmitted via the transmission unit 51 under the control of the control unit 52. The transmitted vital sign (detected value) may be given a time (time information) issued by the timer 53.

  More specifically, the electrocardiograph 54 observes a pulse wave generated in the blood vessel of the subject and detects the heart rate and the time waveform of the pulse wave. The sphygmomanometer 55 observes the blood vessel contraction of the subject and detects the maximum value, minimum value, average value, etc. of the blood pressure. The blood oxygen saturation meter 56 detects the blood oxygen saturation (SpO2: Saturation Pulse Oxygen) in the blood of the subject. The thermometer 57 detects the body temperature of the subject. The sweating state meter 58 detects the amount of sweat on the skin of the subject.

  3 illustrates a configuration including a plurality of types of sensors as a mechanism for detecting vital signs, but it is not necessary to mount all of these sensors. As described above, the vital signs detected by these sensors are highly correlated with the stress felt by humans, so it is only necessary to detect at least one of these vital signs.

The battery 59 supplies power for driving the vital sensor 50.
(B4: Other sensors)
The configurations of the cameras 11 and 21 and the microphones 12 and 22 described above are well known and will not be described in detail.

<C. Control function>
Next, control functions implemented in the analysis server device SRV will be described.

  FIG. 4 is a schematic diagram showing a control structure implemented in analysis server device SRV according to the embodiment of the present invention. Each control block shown in FIG. 4 is basically realized by the CPU 200 of the analysis server SRV executing a program.

  Referring to FIG. 4, analysis server SRV has, as its control functions, input unit 100, action determination unit 110, user characteristic information storage unit 112, stress evaluation unit 120, data collection unit 130, and evaluation. Unit 140 and stress information storage unit 142.

  The input unit 100 receives information (detected values) from various behavior sensors, the vital sensor 50, and the like, and outputs the information to the behavior determination unit 110 and the stress evaluation unit 120. That is, the input unit 100 performs data transfer by performing a series of processes for establishing / disconnecting communication connections with various sensors as described above.

  Based on the information received from the input unit 100, the behavior determination unit 110 acquires information on the behavior of the observed person. The behavior determination unit 110 refers to user characteristic information including information on each observer when acquiring information on each observer's behavior. This user feature information is stored in the user feature information storage unit 112. Details of the processing in the behavior determination unit 110 will be described later. The input unit 100 and the behavior determination unit 110 constitute at least a part of behavior information acquisition means.

  The stress evaluation unit 120 acquires the degree of stress of the subject based on the biological information of the subject (the vital sign received from the input unit 100). Details of the processing in the stress evaluation unit 120 will be described later. The input unit 100 and the stress evaluation unit 120 constitute at least a part of a stress acquisition unit.

  The data collection unit 130 stores the information about the behavior of the observed person received from the behavior determination unit 110 and the degree of stress acquired by the stress evaluation unit 120 in the stress information storage unit 142 together with the corresponding time. When data is stored in the stress information storage unit 142, the user ID stored in the user characteristic information storage unit 112 is referred to, and information for identifying each observer is given. The stress information storage unit 142 functions as a storage unit.

  The evaluation unit 140 refers to the data stored in the stress information storage unit 142 and performs evaluation based on the behavior of the observer and the degree of stress. As will be described later, the evaluation unit 140 supports a plurality of evaluation methods, performs a specified evaluation in response to an evaluation method instruction from a personal computer PC or the like, and displays the evaluation result obtained as a result as display information. To the personal computer PC. Details of the evaluation process in the evaluation unit 140 will also be described later. The evaluation unit 140 functions as an evaluation unit.

(C1: Action determination unit)
First, a method for acquiring information about the behavior of each observer in the behavior determination unit 110 will be described.

  As described above, the stress analysis system SYS according to the present embodiment has the cameras 11 and 21 that are imaging units that image the observed person as the behavior sensor that measures the behavior of the observed person, and the sound that the observed person emits. And microphones 12 and 22 that are voice acquisition units for acquiring Furthermore, as such a behavioral sensor, position information acquisition means for acquiring the presence position of the observed person such as GPS, operation detection means (computer work log system) for detecting the operation contents of the personal computer by the observed person, input It is preferable to use a combination of an exit management system, office layout information, an online scheduler, monitoring of the amount of operation of the keyboard or mouse of the personal computer by the observer.

  The behavior determination unit 110 determines the work, state, whereabouts, and the like that each subject specifically performs based on data related to the subject's behavior acquired by such a behavior sensor.

  At this time, the behavior determination unit 110 refers to the user feature information stored in the user feature information storage unit 112. The user characteristic information includes the face (contour) and voice characteristics of each subject. The behavior determination unit 110 can determine the behavior and the like for each person to be observed by referring to the user characteristic information. It should be noted that a method for directly identifying the person to be observed, such as a form in which the person to be observed holds an RFID (wireless tag) that transmits identification information, or a form in which identification information is transmitted from the vital sensor 50 is employed. In this case, it is not always necessary to use the user characteristic information.

  As a specific example of the behavior determined by the behavior determination unit 110, in office work, a meeting was held with whom in one time zone and a personal computer in another time zone. It is determined whether the document was created, the website was browsed using a personal computer at another time, or the user was talking at the break corner at another time. In addition, in the process described later, a process of selecting what action the observed person performed in each time zone from among a plurality of actions registered in advance may be adopted.

  Such a determination result by the action determination unit 110 is sent to the data collection unit 130 together with the corresponding time (time information). In addition, the behavior determination unit 110 also sends an image of the observed person at the time of determining the behavior of the observed person to the data collection unit 130. That is, the behavior determination unit 110 outputs an image obtained by capturing an image of a person who is performing some behavior.

(C2: Stress evaluation department)
Next, a method for acquiring the degree of stress of each observer in the stress evaluation unit 120 will be described.

  It is known that the vital signs (heart rate, beating waveform, blood pressure, blood oxygen saturation, body temperature, sweating degree, etc.) as described above have a strong correlation with the stress felt by humans. For example, “Kikuchi Naganori,“ Cardiovascular Psychosomatic Disease ”, CLINICIAN, no. 346, pp 1091-1094 ".

  As an example of a more specific method for calculating the degree of stress, the degree of stress is calculated by adding the vital sign values described above. At this time, individual differences in sensitivity to stress may be reflected. As a simple example, if a certain observer has the characteristics that the heart rate increases due to stress, but the blood pressure, body temperature, sweating amount, etc. do not vary so much, It is preferable to put more weight on the heart rate as an index of stress.

Considering such a relationship, the stress value can be calculated using the following mathematical formula.
Stress value S = α1 × m1 + α2 × m2 + α3 × m3 + α4 × m4
Here, m1 is a heart rate, m2 is a body temperature, m3 is a blood pressure, and m4 is a sweating amount. The coefficients α1 to α4 are weighting factors that reflect the individual differences of the observers as described above. In the case of the example described above, the coefficient α1 is compared with the other coefficients α2 to α4. , Make it relatively large. This makes it possible to calculate a stress value that emphasizes the heart rate.

  For such individual differences, the coefficients α1 to α4 can be dynamically changed by storing the profile information determined for each person to be observed in the user characteristic information storage unit 112 in advance. In the case where the individual differences as described above are not taken into consideration, the coefficients α1 to α4 are set to fixed values determined statistically.

(C3: data collection unit and stress information storage unit)
Next, data handled in the data collection unit 130 and the stress information storage unit 142 will be described.

  FIG. 5 is a diagram showing an example of stress information stored in stress information storage unit 142 according to the embodiment of the present invention. Referring to FIG. 5, stress information storage unit 142 stores stress information described in a table format for each user (each observer). That is, the stress information stores the behavior (event) performed by the observer at that time and the stress value at that time in association with the time. Furthermore, information (image ID) for specifying an image obtained by capturing an image of the state in which the observed person was performing some action at the corresponding time is assigned to each entry (row). Each image specified by the image ID is also stored in the stress information storage unit 142. These images are used in an evaluation function described later.

<D. Evaluation function>
Stress information is acquired sequentially or batchwise by a series of processes as described above. The evaluation unit 140 evaluates the stress of each person to be observed based on the stress information acquired in this way. Analysis server SRV according to the present embodiment has a plurality of evaluation functions as described later. Therefore, the user (person who is responsible for managing stress) operates the personal computer PC to instruct a necessary evaluation method.

(D1: Determination of standard value for stress evaluation)
In order to evaluate the state of stress of the observer, a reference value is determined for each observer. In the present embodiment, evaluation unit 140 evaluates the level of stress of the subject based on a reference value determined from the degree of stress when the subject is in a resting state. Hereinafter, a method for determining the reference value will be described. In the following explanation, it is assumed that the observer is performing work in the office.

  The evaluation unit 140 determines the “rest state” of each observer. The stress value in the “rest state” is a reference value for stress evaluation. Based on the information from the behavior determination unit 110 that measures the behavior of the observed person, the evaluation unit 140 is in a state where the observed person is resting (relaxed) among a series of behaviors during the working hours of the day. By identifying the belt), such a resting state is determined.

Conditions for determining such a resting state include, for example, (1) a state in which the motion of the observer has been stopped for a predetermined period or longer, (2) a state in (1), and a state in which no loud voice is emitted (3) State in which the observer is sleeping (4) State in which the observer is talking / drinking at the break corner (5) State of (4) and state of not speaking loudly . Such a state is determined by the action determination unit 110 based on information obtained by a position information acquisition unit that acquires an existing position, a camera, a microphone, and the like. Note that the sleeping state may be a case where the person being observed has closed his eyes for a predetermined time or more.

  Alternatively, depending on the camera, microphone, etc., it may be possible to determine that the observer is operating the personal computer, but not what the work is. In such a case, based on the work log of the personal computer, etc., the observer is creating a document related to the business using the personal computer, or content that is not directly related to the business (for example, , Online news, etc.), and in the latter case, it may be determined that the user is in a resting state.

  When the time zone determined to be in a resting state by the method as described above is acquired, the corresponding stress value is set as a reference value for stress evaluation.

  FIG. 6 is a diagram for describing a method for determining a reference value for stress evaluation according to the embodiment of the present invention. FIG. 7 is a diagram for explaining a method for determining a reference value for stress evaluation in a related technique.

  With reference to FIG. 6, as described above, when a time zone determined to be in a resting state is acquired, a stress value in the corresponding time zone is set as a reference value. That is, in the example shown in FIG. 6, the reference value S0 is calculated from the resting state of the target day. By calculating the difference between the reference value S0 and the stress value S at each time, the stress evaluation value P for evaluating the stress at each time can be determined. That is, the stress evaluation value P can be calculated using the following formula using the reference value S0 and the stress value S (t) at each time.

Stress evaluation value P = S (t) −S0
Since the stress value for each observer can be acquired by the method as described above, the reference value S0 as described above is determined for each observer.

  By adopting the reference value calculation method according to the present embodiment shown in FIG. 6, it will be described that a more preferable operation effect is produced as compared with the conventional stress evaluation method.

  For example, according to the method disclosed in Patent Document 2, an average of stress values in a past resting state is held for each observer, and the state of stress is determined by comparison with the held average value. To do. When such a method is employed, it may not be determined that the stress is high despite the high stress. On the other hand, there are cases where it is erroneously determined that the stress is high despite the low stress.

  More specifically, in FIG. 7, similarly to FIG. 6, a series of actions and stress values in one working day of a certain observer are shown in association with each other. In the example shown in FIG. 7, for example, an average value of stress values in a resting state calculated from past data of the subject is shown.

  On the other hand, FIG. 7 shows data on the day when the stress state is measured as a whole offset to the negative side. Such an offset of the stress value to the minus side or the plus side can frequently occur due to a change in environment or a change in physical condition.

  When the reference value (reference value 2) as shown in FIG. 7 is used, the behavior of the overall stress value on the target day is not reflected. When it is determined based on the reference value 2 shown, it is determined that “the stress is not high”. However, as shown in FIG. 6, from the whole of the day, the action “review to the superior” is a relatively stressful state, and is essentially a “high stress state”. Should be evaluated. According to the present embodiment, even in such a situation, it is possible to appropriately determine that an action in a state of high stress among a series of actions in one day is “review to a superior”.

  In the method according to the present embodiment, since an average value of past stress values is not necessary, it is not necessary to provide a database for storing such past data. In this way, by using the stress analysis system according to the present embodiment, it is possible to easily manage the health of employees and to identify actions that are under higher stress. Can be made more efficiently.

(D2: Stress history display)
As an example of the evaluation function according to the present embodiment, a stress history may be displayed. When the display of the stress history is instructed from the personal computer PC, the past stress values may be displayed separately for each person to be observed in an arbitrary period or an arbitrary display mode.

  FIG. 8 shows an example of a stress history display screen provided by analysis server SRV according to the embodiment of the present invention. FIG. 8 shows the reference value and maximum value of stress for the past five days. As described above, in the present embodiment, since the reference value is determined in units of one day, different values are shown for each day. In the graph shown in FIG. 8, the difference between the reference value and the maximum value indicates the stress evaluation value felt by the observer.

(D3: warning message)
When calculating the reference value for evaluating the stress as described above, the resting state is extracted, but depending on the person to be observed, the resting state may not be extracted. For example, there is no case where there is no state where the person being observed is busy and relaxed.

  In such a case, it is not preferable from the viewpoint of employee health management. In such a case, it is preferable to notify the administrator. Therefore, analysis server SRV (evaluation unit 140) according to the present embodiment generates a warning message when any person to be observed has not been in a resting state for a predetermined period or longer.

  Upon receiving such a warning message, the manager notices that the working condition of the target observer must be improved.

(D4: digest display)
A state where the stress value of the observed person is large can be regarded as “a state where the person is concentrated on work”. That is, it is possible to extract the behavior of the observed person in a higher stress state as the work that has been most focused on the day.

  From this point of view, it is preferable that the manager can see a digest of daily work contents of each observed person (employee). Therefore, analysis server SRV according to the present embodiment performs a digest display of a work including a highlight scene in the work of the day.

  FIG. 9 is a diagram showing an example of digest display provided by analysis server SRV according to the embodiment of the present invention. As shown in FIG. 9, on each day, an image of an observer performing the action is displayed in association with the action (event) having the highest stress value. Such an image is specified based on the image ID of the stress information shown in FIG.

  That is, the stress analysis system SYS according to the present embodiment includes cameras 11 and 21 as image acquisition means for acquiring an image obtained by capturing an image of a person who is performing an action. Is stored in the stress information stored in the stress information storage unit 142 in association with information on the behavior of the observed person. Then, the evaluation unit 140 displays an image of a scene associated with a state in which the degree of stress of the observer satisfies a predetermined condition. As this predetermined condition, FIG. 9 shows an example of a state in which the stress value is the highest on the day, but an image in a state in which the stress value is the lowest may be displayed, or other arbitrary conditions may be set. Can be set.

<E. Processing procedure>
Next, a series of processing executed in analysis server SRV according to the present embodiment will be described.

  FIG. 10 is a flowchart showing a procedure of processing executed in analysis server SRV according to the embodiment of the present invention. Each step shown in FIG. 10 is realized mainly by the CPU 200 of the analysis server SRV executing a program.

  Referring to FIG. 10, CPU 200 of analysis server SRV obtains a detected value indicating the behavior of the observed person measured by a behavior sensor (camera, microphone, other sensor, etc.) (step S2). The CPU 200 of the analysis server SRV acquires a vital sign from the vital sensor 50 of each observer (step S4). The processes of step S2 and step S4 may be executed in parallel or may be executed at completely different timings.

  Subsequently, the CPU 200 of the analysis server SRV acquires information on the behavior of the observed person based on the information from the behavior sensor acquired in Step S2 (Step S6). That is, the behavior (event) of each observed person in each time zone is determined. Further, the CPU 200 of the analysis server SRV acquires the degree of stress of the subject based on the vital sign of each subject from the vital sensor 50 obtained in step S4 (step S8).

  Further, the CPU 200 of the analysis server SRV stores the information on the behavior of the observed person acquired in step S6 and the degree of stress of the observed person acquired in step S8 in association with the corresponding time (step). S10).

  Thereafter, the CPU 200 of the analysis server SRV determines whether or not a stress evaluation start instruction has been received from the personal computer PC (step S12). If an instruction to start stress evaluation has not been received from the personal computer PC (NO in step S12), the processes in and after step S2 are repeated.

  When an instruction to start stress evaluation is received from the personal computer PC (YES in step S12), the CPU 200 of the analysis server SRV determines a target observer (step S14), and observes the subject to be observed. With reference to the information about the person's behavior, the presence / absence of the resting state and the time zone in which the resting state is reached are acquired (step S16). Subsequently, the CPU 200 of the analysis server SRV determines whether or not the target observer has been in a resting state for a predetermined period or longer (step S18).

  If the target observer has not been at rest for a predetermined period or longer (YES in step S18), CPU 200 of analysis server SRV outputs a warning message (step S20). Then, the process proceeds to step S26.

  On the other hand, when the target observer is in a resting state in any time zone (NO in step S18), the CPU 200 of the analysis server SRV uses the stress value in the resting state. A reference value is set (step S22). Subsequently, the CPU 200 of the analysis server SRV outputs the result of evaluating the previously acquired stress value based on the reference value set in step S22 (step S24).

  Subsequently, the CPU 200 of the analysis server SRV determines whether a digest display instruction is received from the personal computer PC (step S26). If a digest display instruction has not been received from the personal computer PC (NO in step S26), the processes in and after step S2 are repeated.

  When the digest display instruction is received from the personal computer PC (in the case of YES in step S26), the CPU 200 of the analysis server SRV selects the time zone in which the stress value becomes the maximum value for each day of the subject observer. While specifying, the image corresponding to the action of the said time slot | zone is extracted (step S28). Then, the CPU 200 of the analysis server SRV generates and outputs a digest screen from the extracted time zone, behavior (event), image, and the like (step S30). And the process after step S2 is repeated.

<F. Advantage>
According to the embodiment of the present invention, when evaluating the degree of stress based on vital signs, it is not compared with an average value in a state of resting in the past, but by sensing the behavior of the observer. The state (time zone) in which the subject is resting (relaxed) is specified, and the degree of stress in such a resting state is set as a reference value. This makes it possible to correct the vital sign fluctuation factors caused by changes in the environment and physical condition, and more accurately evaluate the state of stress of the subject. In addition, since the reference value is calculated on a daily basis, a database that accumulates past stress levels and the like can be omitted.

<G. Other Embodiments>
In the above-described embodiment, the analysis server device SRV is implemented as an independent control entity. However, the analysis server device SRV is implemented by being incorporated in the vital sensor 50 or the personal computer PC. May be. For example, when the function of the analysis server SRV is mounted on the vital sensor 50, a memory and a communication module for storing data are mounted on the wearable vital sensor 50. There is a merit that can be reduced.

  In addition, the program (code) according to the embodiment of the present invention is a program module provided as a part of a computer operating system (OS) and calls a required module at a predetermined timing in a predetermined arrangement for processing. It may be provided by executing. In this case, the program itself does not include the module as described above, and the process is executed in cooperation with the OS. The program according to the embodiment of the present invention may be provided by being incorporated in a part of another program. Even in such a case, the program itself does not include a module included in another program as described above, and the process is executed in cooperation with the other program.

  Even a program that does not include some of the modules as described above is included in the technical scope of the program according to the present invention.

  Furthermore, part or all of the functions realized by the program according to the embodiment of the present invention may be configured by dedicated hardware.

  The embodiment disclosed this time should be considered as illustrative in all points and not restrictive. The scope of the present invention is shown not by the above description of the embodiments but by the scope of claims, and is intended to include all modifications within the meaning and scope equivalent to the scope of claims.

  10 office rooms, 11 and 21 cameras, 12 and 22 microphones, 20 conference rooms, 31 wireless repeaters, 50 vital sensors, 51 transmission units, 52 control units, 53 timers, 54 electrocardiographs, 55 sphygmomanometers, 56 blood Oxygen saturation meter, 57 thermometer, 58 sweating state meter, 59 battery, 100, 208 input unit, 110 action determination unit, 112 user characteristic information storage unit, 120 stress evaluation unit, 130 data collection unit, 140 evaluation unit, 142 Stress information storage unit, 200 CPU, 202 internal bus, 204 display, 210 hard disk, 212 memory, 214 CD-ROM drive, 216 flexible disk drive, 214a CD-ROM, 216a flexible disk, NW network, PC personal computer Ta, SRV analysis server system, SYS stress analysis system.

Claims (10)

Behavior information acquisition means for acquiring information about the behavior of the observed person;
Stress acquisition means for acquiring a degree of stress of the observed person based on the biological information of the observed person;
Storage means for storing the information about the behavior of the observed person acquired by the action information acquisition means and the degree of stress acquired by the stress acquisition means in association with the corresponding time;
A stress analysis system comprising: an evaluation unit that performs an evaluation based on the behavior of the observed person and the degree of stress with reference to data stored in the storage unit.   The stress analysis system according to claim 1, wherein the evaluation unit evaluates the level of stress of the observer based on a reference value determined from a degree of stress when the observer is in a resting state. .   The stress analysis system according to claim 2, wherein the evaluation unit determines that the state in which the operation of the subject is stopped for a predetermined period or more is the resting state.   The stress analysis system according to claim 2, wherein the evaluation unit determines that the subject is in a sleep state when the subject is in a sleep state.   The stress analysis system according to claim 1, wherein the evaluation unit generates a warning message when the observed person has not been in a resting state for a predetermined period or longer. The behavior information acquisition means includes image acquisition means for acquiring an image obtained by imaging the observed person performing some kind of behavior,
The storage means stores the image acquired by the image acquisition means in association with information on the behavior of the observer,
The stress analysis system according to claim 1, wherein the evaluation unit displays an image of a scene associated with a state in which the degree of stress of the observer satisfies a predetermined condition.   The behavior information acquisition unit includes an imaging unit that images the observed person, a sound acquisition unit that acquires a sound emitted by the observed person, a position information acquisition unit that acquires the presence position of the observed person, and the observed person The stress analysis system according to any one of claims 1 to 6, comprising at least one of operation detection means for detecting the operation content of the computer.   The stress acquisition means includes at least one of an electrocardiograph, a sphygmomanometer, a blood oxygen saturation meter, a thermometer, and a sweating state meter attached to the subject. The stress analysis system according to any one of claims. A stress analysis program, a behavior information acquisition means for acquiring information about the behavior of the observer using a computer;
Stress acquisition means for acquiring a degree of stress of the observed person based on the biological information of the observed person;
Storage means for storing the information about the behavior of the observed person acquired by the action information acquisition means and the degree of stress acquired by the stress acquisition means in association with the corresponding time;
A stress analysis program that functions as an evaluation unit that performs an evaluation based on the behavior of the person to be observed and the degree of stress with reference to data stored in the storage unit. A stress analysis method executed by a computer,
Obtaining information about the behavior of the observer,
Obtaining the degree of stress of the person to be observed based on the biological information of the person to be observed;
Storing the information about the behavior of the observer and the degree of stress in association with the corresponding time;
A stress analysis method comprising: referring to stored data and performing an evaluation based on the behavior of the observer and the degree of stress.

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