CN106921794B - Method and device for realizing alarm clock on intelligent equipment - Google Patents
Method and device for realizing alarm clock on intelligent equipment Download PDFInfo
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- CN106921794B CN106921794B CN201710071582.6A CN201710071582A CN106921794B CN 106921794 B CN106921794 B CN 106921794B CN 201710071582 A CN201710071582 A CN 201710071582A CN 106921794 B CN106921794 B CN 106921794B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72451—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to schedules, e.g. using calendar applications
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- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
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Abstract
The invention discloses an alarm clock implementation method and device on intelligent equipment, wherein the method comprises the following steps: setting reminding time and a reminding mode of an alarm clock on intelligent equipment, reminding a user by the time and acquiring a reaction mode of the user, generating use habit data according to the reaction mode, and carrying out statistical analysis to obtain the intelligent reminding time and the intelligent reminding mode of the alarm clock; after the intelligent alarm clock mode is started, the user is reminded according to the intelligent reminding mode of the alarm clock. The device includes: the system comprises a sample data acquisition unit for acquiring the use habit data, a training unit for carrying out statistical analysis on the use habit data and an intelligent reminding unit for carrying out intelligent reminding. According to the alarm clock implementation method and device, the historical data of the alarm clock used by the user is collected and trained, so that the user can be intelligently reminded based on the trained data, the effectiveness of the alarm clock and the intelligent degree of alarm clock reminding are improved, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of intelligent equipment, in particular to an alarm clock implementation method and device on intelligent equipment.
Background
The alarm clock is one of the essential functions of daily life and work of people, and most people utilize the alarm clock reminding function of the intelligent equipment in daily life. The alarm clock on the existing intelligent equipment is generally used for reminding in a specific time. In order to achieve the reminding effect, the user sets a repeated alarm clock for the same item, for example, for the getting-up item, the user sets an alarm clock 30 minutes in advance, sets an alarm clock 10 minutes in advance, and sets a target time. The mode of setting a plurality of alarm clocks for reminding not only increases the time and energy of alarm clock maintenance, but also increases the psychological burden of the user, and often cannot play the function of effective reminding. Therefore, the existing alarm clock has low reminding function effectiveness and intelligence degree, and the user experience is not good.
Disclosure of Invention
The invention provides a method and a device for realizing an alarm clock on intelligent equipment, which are used for solving the problems of low effectiveness and intelligence degree and poor user experience of an alarm clock reminding function on the existing intelligent equipment.
According to one aspect of the invention, an alarm clock implementation method on intelligent equipment is provided, which comprises the following steps:
setting reminding time and reminding mode of an alarm clock on the intelligent equipment according to a user instruction, reminding the user when the reminding time of the alarm clock is up, acquiring a reaction mode of the user in the corresponding reminding mode, generating and storing corresponding use habit data in the corresponding reminding mode according to the reaction mode;
carrying out statistical analysis on the use habit data to obtain the intelligent reminding time and the intelligent reminding mode of the alarm clock;
after the intelligent alarm clock mode is started, when the intelligent reminding time of the alarm clock is reached, reminding is carried out on the user according to the intelligent reminding mode of the alarm clock.
According to another aspect of the invention, an alarm clock implementation apparatus on a smart device is provided, including:
the sample data acquisition unit is used for setting the reminding time and the reminding mode of the alarm clock on the intelligent equipment according to the instruction of the user, reminding the user when the reminding time of the alarm clock is up, acquiring the reaction mode of the user in the corresponding reminding mode, generating and storing corresponding use habit data in the corresponding reminding mode according to the reaction mode;
the training unit is used for carrying out statistical analysis on the use habit data to obtain the intelligent reminding time and the intelligent reminding mode of the alarm clock;
and the intelligent reminding unit is used for reminding the user according to the intelligent reminding mode of the alarm clock when the intelligent reminding time of the alarm clock is reached after the intelligent alarm clock is started.
The invention has the beneficial effects that: according to the method and the device for realizing the alarm clock on the intelligent equipment, the corresponding data is obtained by obtaining the reaction mode after the user feels the alarm clock reminding, and the reminding time and the reminding mode of the alarm clock are readjusted by calculating and training the corresponding data, so that the effect of improving the reminding efficiency of the alarm clock and ensuring that the user normally finishes specific events is achieved. Compared with the existing ordinary alarm clock reminding, the alarm clock reminding device has the advantages that the trouble and inconvenience caused by setting a plurality of alarm clocks are avoided, the problem of low reminding efficiency caused by fixed, single-time and fixed-time reminding of the alarm clock is also avoided, the intelligent degree of the alarm clock is improved, and the user experience is optimized.
Drawings
Fig. 1 is a flowchart of an alarm clock implementation method on an intelligent device according to a first embodiment of the present invention;
FIG. 2 is a flowchart of an alarm clock implementation method on an intelligent device according to a second embodiment of the present invention;
fig. 3 is a block diagram of an alarm clock implementation apparatus on an intelligent device according to a third embodiment of the present invention.
Detailed Description
The design concept of the invention is as follows: aiming at the problem of low intelligentization degree of alarm clock reminding in the prior art, the invention provides an alarm clock implementation scheme on intelligent equipment.
Example one
Fig. 1 is a flowchart of an alarm clock implementation method on an intelligent device according to an embodiment of the present invention, and referring to fig. 1, the alarm clock implementation method on the intelligent device according to the embodiment includes the following steps:
step S101, setting reminding time and reminding mode of an alarm clock on intelligent equipment according to a user instruction, reminding a user when the reminding time of the alarm clock is up, acquiring a reaction mode of the user in the corresponding reminding mode, generating and storing corresponding use habit data in the corresponding reminding mode according to the reaction mode; the reaction mode refers to the physiological activity state made by the user after the user feels the alarm clock reminding.
Step S102, carrying out statistical analysis on the use habit data to obtain the intelligent reminding time and the intelligent reminding mode of the alarm clock;
and S103, after the intelligent alarm clock mode is started and the intelligent reminding time of the alarm clock is reached, reminding the user according to the intelligent reminding mode of the alarm clock.
As can be seen from the method shown in fig. 1, the alarm clock implementation method of the embodiment can intelligently adjust the reminding time and the reminding mode of the alarm clock according to the historical experience data of the user after the alarm clock, so that the problem of low reminding efficiency of a common alarm clock that only specific duration reminding is performed at specific time is solved, and the problem of poor user experience caused by the fact that a plurality of alarm clocks need to be set for realizing specific events and need to be maintained in the prior art is also solved.
Example two
In this embodiment, implementation steps of an alarm clock implementation method on an intelligent device are specifically described. As shown in fig. 2, the method for implementing an alarm clock on an intelligent device of this embodiment mainly includes the following steps S201 to S205. The smart device of the present embodiment is any device or machine having a computing processing capability, including a smart phone, a smart robot, a smart watch, and the like. In general, a smart device is provided with a data acquisition module, such as various biometric sensors, motion sensors, and image acquisition devices.
Firstly, a data collection process of the method for realizing the alarm clock on the intelligent device is introduced, and the data collection process comprises a step S201 and a step S202, wherein the data collection process mainly collects use habit data of a user on the alarm clock, and the use habit data of the user on the alarm clock can reflect the reaction of the user on the alarm clock, so that an intelligent mode is trained by using the use habit data of the user, the requirement of the user on personalized alarm clock reminding is met, and the effectiveness and the intelligent degree of alarm clock reminding are improved.
Step S201, setting different reminding times and different reminding modes of the alarm clock on the intelligent device according to the user instruction. In this embodiment, the reminding method includes: at least one of sound reminding, vibration reminding and photoelectric reminding, wherein different reminding modes comprise different sounds.
Step S202, obtaining a reaction mode of the user, obtaining the wake-up reaction time and the wake-up reaction degree data of the user according to the wake-up reaction mode, and obtaining the duration from the time when the reminding time reaches to the time when the preset action is made according to the preset action reaction mode.
In an embodiment of the present invention, the response mode, such as the wake-up response mode of the user and the predetermined action response mode, obtains the wake-up response time and the wake-up response degree data of the user according to the wake-up response mode of the user, and obtains the duration from the time when the reminding time arrives to the time when the predetermined action is performed according to the predetermined action response mode of the user.
It should be noted that the wake-up reaction time refers to the time elapsed from the sleep state to the wake-up reaction state after the user feels the alarm clock, and the wake-up reaction is, for example, heart rate is accelerated, eyes are opened, limb movement is made, and the like. The degree of arousal response refers to the magnitude of the change in arousal response, such as the rate at which the heart rate increases, the magnitude of the amplitude of the action taken, etc. The predetermined action reaction patterns are those representing that the user is completely awake and does not sleep again for a short time, for example, getting up and getting out of bed, etc., for the getting up reminder. In this embodiment, a data collection period is set for the alarm clock after the alarm clock is initialized, and the data collection period may be set according to a fixed time limit, for example, a data collection period with a set time limit of 30 days, or according to a time limit corresponding to the number of times of use of the alarm clock by the user, for example, a time limit corresponding to the time limit when the number of times of use of the alarm clock by the user reaches 40 times.
It should be emphasized that the different reminding manners in the present embodiment include different sounds. For example, on wednesday, the user sets a first alarm clock for waking up by Zhang three, and the reminding time is: seven morning, the reminding mode is as follows: ring tone a. On thursday, the user Zhang Sanqi has set a second alarm clock for reminding getting up, and the reminding time is: seven morning, the reminding mode is as follows: and a ring tone B. Although the first alarm clock and the second alarm clock both adopt ring reminding, in the embodiment, the reminding modes of the first alarm clock and the second alarm clock are determined to be different because the ring A and the ring B are different. In addition, the differences in sound include: the types of sound are different and/or the content of the sound is different, and the types of sound include: mild type, drastic type, hypertonic type, mild and fast type; the sound content includes: acquiring real-time of the intelligent equipment, and performing sound conversion to obtain corresponding sound content; or, obtaining corresponding sound content after sound conversion is carried out by obtaining real-time news information in a news application in the intelligent equipment; or acquiring real-time weather information in weather application in the intelligent equipment, and performing sound conversion to obtain corresponding sound content.
In the practical application process, a plurality of rings can be provided through the ring library of the intelligent device for the user to select as a reminding mode, the types of the rings are different as much as possible, and the ring types can include a relaxing type, a violent type and the like. In this embodiment, the alarm clock reminding modes can be classified according to the types of the ring tones, and therefore different ring tones are used as different reminding modes because the reaction modes of the user to different ring tones are usually different when the alarm clock reminds, for example, the reaction degree of the user is usually smaller for a soothing ring tone, and the reaction degree of the user is usually larger for a strenuous ring tone. Therefore, the reminding mode is intelligently determined by collecting the reaction modes of the user to different bells and based on the reaction mode of the user subsequently, thereby avoiding the cocktail party effect and improving the reminding effectiveness of the alarm clock. The "cocktail party effect" refers in acoustics to the masking effect of the human ear, which means that the human ear reacts only to the most obvious sounds, while for less sensitive sounds the reaction is less sensitive. For example, in the whole frequency spectrum of the sound, if the sound of a certain frequency band is stronger, the human is not sensitive to the sound of other frequency bands. The method of this embodiment finds out the most sensitive reminding mode, for example, the most sensitive ring tone, for the user through the collection and statistical analysis of the mass user data, and reminds the user by using the reminding mode.
The recording process of the alarm clock reminder set by the user is introduced above, and after the reminder set by the user is recorded, the method of this embodiment further needs to collect the reaction mode of the user to the reminder, and the reaction degree data and the reaction time corresponding to the reaction mode.
As mentioned above, the reaction scheme may include two types: wake up response and response to make a predetermined action, such as a wake up action. In the previous example, the user sets the first alarm clock for reminding getting up by three times, and the reminding time is as follows: seven morning, the reminding mode is as follows: ring tone a. In the information collection stage, specifically, the response time of the user to the alarm clock reminding after the alarm clock reminding is collected and recorded when the system time of the intelligent device reaches the alarm clock reminding time set by the user (namely, seven morning hours). For example, how long the user wakes up after hearing ring a. The time for subsequent reminding of the alarm clock can be determined in the intelligent mode by obtaining the reaction time of the user to the alarm clock reminding mode.
The acquiring of the data of the wake-up reaction degree in step S202 of this embodiment includes: acquiring awakening reaction degree data input on an alarm clock reminding display interface of the intelligent equipment after the user awakens; and/or acquiring a data change value corresponding to a data acquisition module in the intelligent device, and acquiring the awakening reaction degree data of the user according to the data change value, wherein the data acquisition module comprises one or more of the following components: biometric sensors, motion sensors, and cameras. That is, the data of the wake-up reaction degree may be obtained in two ways, one way is to obtain the reaction degree directly fed back by the user, for example, one or more icons indicating the mood of the user after alarm clock reminding (for example, joy, anger, no longer want to hear, no feel, etc.) are set on the alarm clock reminding interface of the smart device, and the reaction degree of the user is determined by obtaining a certain icon clicked by the user. Another way is to obtain the degree of reaction of the indirect feedback from the user, which is a silent obtaining way and is imperceptible to the user. Smart devices such as smart phones are usually equipped with various sensors, for example, an acceleration sensor, a GPS receiver, a camera, a light sensor (the light sensor is used to record the habit of turning on the light of a user and indicate the sensitivity to light), and if there is a wearable device such as a smart bracelet, the smart bracelet can also be used to detect other body parameters of the user, such as heart rate, body surface temperature (which can be used to determine the reaction of the user, such as the waking degree), and the like.
In the present embodiment, the degree of reaction of the user is determined by the change value of the sensor data. For example, the severity of the acceleration sensor changes, which may be simply defined as the reaction to the current alarm, this data is used to reflect the user's reaction to different ring tones. For another example, the heart rate data of the user before the alarm clock reminding is acquired from the heart rate sensor is recorded as a1, the heart rate data of the user after the alarm clock reminding is acquired is recorded as a2, the variation values of a2 and a1 are calculated, and the variation values are used as the reaction degree of the user to the current reminding mode.
Further, in step S202 of this embodiment, according to the predetermined action reaction mode made by the user, the obtaining of the duration from when the reminder time arrives to when the predetermined action is made includes: starting timing when the reminding time is reached, stopping timing when an instruction signal of finishing a preset action by a user, which is sent by a microprocessor of the intelligent equipment, is received, and taking an accumulated time period as the duration time T from the time when the reminding time is reached to the time when the preset action is performed, wherein the instruction signal is sent when the microprocessor compares the behavior data of the user and determines that the behavior characteristic data of the user meets a preset user behavior characteristic threshold value.
And calculating the intelligent reminding time of the alarm clock after the duration time T from the time when the reminding time reaches to the time when the preset action is performed is obtained, specifically, setting the intelligent reminding time to be T earlier than the alarm clock reminding time currently set by the user.
It should be noted that, the microprocessor of the smart device of this embodiment can send a data acquisition signal to a data acquisition module designated in the smart device, for example, a microphone MIC, according to the first time reminding time of the alarm clock, and judge whether the current sound signal of the user is consistent with the sound signal of the user according to the sound signal acquired by the MIC, and if so, determine that the user has performed a designated action. The principle of doing so is that the user will have a typical sound state when a certain specified action occurs, and taking getting up as an example, when the user has a getting up action, the sound pressure level of the recording signal collected by the MIC becomes high, exceeds a certain threshold and has a certain proportion of sudden noise. If the data currently collected by the MIC satisfies the typical sound state, it may be determined that the user has completed the predetermined action. Alternatively, when the smart device is a stereo smart device such as a home smart robot, since the smart robot can "see" the user (via a camera), while recording the reaction time, ambient sound, images can be captured for analysis to record the specific behavior characteristics of the user, such as whether or not to leave the bed.
And after the reaction time and the reaction degree of the user to the reminding mode are obtained, the reminding effectiveness degree of each reminding mode is determined based on the data of the two dimensions of the reaction degree and the reaction time. That is, the process proceeds to step S203,
step S203, the reminding modes are calculated, counted and sequenced according to the product value of the awakening response time and the awakening response degree data of the user in the using habit data.
For example, in the past week, the user sets five alarm clocks from monday to friday, namely, alarm clock one, alarm clock two, alarm clock three, alarm clock four and alarm clock five, wherein the reminding modes of the five alarm clocks are different. In the machine learning process, the method of the embodiment correspondingly stores five alarm clocks for the main key in the reminding mode, calculates the product value of the awakening response time and the awakening response degree data of the user in the using habit data in each reminding mode, and sorts the reminding modes according to the magnitude of the product value and the sequence from large to small.
In addition, in practice, the user may also set an alarm clock with the same reminding mode, for example, the reminding modes of the second alarm clock and the fourth alarm clock in the above five alarm clocks are the same (if the ring a is used as the reminding mode), and the reminding modes of the other three alarm clocks are different, in this case, the second alarm clock and the fourth alarm clock can be classified into the set corresponding to the ring a, the product values of the wake-up response time and the wake-up response degree data of the user corresponding to the second alarm clock and the fourth alarm clock in the set are calculated respectively, and finally, the product value obtained by averaging the wake-up response time and the wake-up response degree data corresponding to a plurality of alarm clocks in a preset time period (for example, a week time) is used as the reminding validity degree value corresponding to the reminding mode, so as to compare the following reminding modes with other reminding modes in the.
Further, in order to improve the effectiveness of the user alarm clock reminding, the scheme of this embodiment may introduce a time variable when performing machine learning on the reminding mode, and filter the usage habit data by using time, specifically execute step S204.
And S204, comparing the generation time of the use habit data, and selecting new use habit data for training as a basis for obtaining intelligent reminding time and reminding mode.
That is to say, in the method of this embodiment, it is preferable to adopt new usage habit data for training when calculating the intelligent reminding time and the intelligent reminding mode, and since the closer the generation time of the usage habit data is, the greater the reference value is, the closer the usage habit data (for example, the usage habit data of the last 10 days) to the alarm clock time currently set by the user can be trained as a basis for obtaining the intelligent reminding time and the reminding mode, so that the data with the older time can be deleted, thereby saving the storage space, improving the training efficiency, and reducing the calculation complexity.
And intelligent reminding of the alarm clock can be achieved after the machine learning is completed. After the user sets up the alarm clock on the smart device, the intelligent reminding process of this embodiment is as follows:
firstly, calculating the intelligent reminding time of the alarm clock according to the duration T from the time when the reminding time is reached to the time when a preset action is made in the stored use habit data, wherein the intelligent reminding time is T earlier than the alarm clock reminding time currently set by a user. For example, the user sets a wake-up reminding alarm clock, and the reminding time is seven am, the method of this embodiment searches the usage pattern data learned in the earlier stage to obtain that the time taken by the user to finish the wake-up action after the alarm clock reminds is 10 minutes, and then the alarm clock starts to remind the user for the first time at six and fifty minutes.
Then, step S205 is executed, after the user is reminded according to the intelligent reminding mode, whether the data of the waking reaction degree of the user to the intelligent reminding mode is consistent with the data of the waking reaction degree in the usage habit data is judged, if so, the user is continuously reminded according to the intelligent reminding mode, otherwise, the intelligent reminding mode is replaced.
Whether the data of the awakening reaction degree of the intelligent reminding mode of the user is consistent with the data of the awakening reaction degree in the using habit data or not can be judged by comparing the data collected by the data collection module. The description is continued with the data acquisition module being a heart rate sensor. And collecting heart rate data of the user through the heart rate sensor after ringing, and waiting for the user to react when the collected heart rate data s4 of the user at this time is consistent with the stored heart rate data s 3. When the collected heart rate data s4 of the user is inconsistent with the stored heart rate data s3, the intelligent reminding mode is replaced, and the user is subsequently reminded by using the replaced reminding mode. The reason why the intelligent reminding mode is replaced is that the current intelligent reminding mode does not have the effect of effectively reminding the user, so that a reminding mode which can more mildly and rapidly finish reminding needs to be selected from other reminding modes. The mild and rapid reminding mode corresponds to the reminding mode corresponding to the minimum value of the product of the reaction time and the reaction degree data in the machine learning process. In practice, in the method of this embodiment, the reminding mode corresponding to the smallest product value of the wake-up response time and the wake-up response degree data is selected from a plurality of reminding modes arranged in order from the smaller to the larger product value of the response time and the response degree data, and the reminding mode is used as the reminding mode after replacement.
And then, calculating the reminding time for subsequent reminding according to the awakening response time in the stored using habit data.
For example, in the previous machine learning process, it is known that the wake-up response time of the user when using the ring tone a as the alert mode is 30 seconds. If the alarm clock sounds, the alarm clock can be turned off by the user for 30s, but after the reminding is carried out according to the intelligent reminding mode, if the alarm clock sounds, the user does not react after 1 minute, the user reaction is determined to be delayed, and therefore the reminding needs to be continued. For example, the second reminder is given by the post-replacement intelligent reminder at the 31 st second (or later) after the first intelligent reminder. Here, the time for performing the subsequent reminding is determined according to the wake-up reaction time of the user.
And finally, in the intelligent alarm clock mode, when the intelligent reminding time is up, continuously acquiring the reaction mode of the user in the intelligent reminding mode, and generating new data for updating or supplementing the stored use habit data according to the reaction mode. It should be noted that, in order to ensure that the trained user alarm clock usage mode has a reference value, the present embodiment sets the machine learning to be a continuous process, that is, in the intelligent alarm clock mode in this embodiment, a reaction mode of the user to a reminding mode of the alarm clock is continuously collected, corresponding usage habit data in a corresponding reminding mode is generated according to the reaction mode, and the stored usage habit data is updated or supplemented with the collected new usage habit data. Therefore, the data which can represent the current use habits of the user can be utilized to train, so that the alarm clock can be guaranteed to remind the user of meeting the current requirements, and the reminding effect is achieved.
Therefore, the alarm clock implementation method of the embodiment changes the problems that the reminding effectiveness is poor and the intelligence is insufficient due to the fact that a single reminding mode is used for reminding at the set fixed time in the existing common alarm clock, meets the requirements of users, plays the reminding function of the alarm clock to the greatest extent, and optimizes the user experience.
In other embodiments of the invention, the working day information and the holiday information recorded by the calendar application in the intelligent device can be acquired, whether the user sets an alarm clock on a holiday is judged according to the acquired working day information and holiday information, and when the user sets an alarm clock on the holiday is judged, the user is reminded according to a preset reminding mode corresponding to the holiday alarm clock, or when the alarm clock reminding time is up, the user is not reminded.
EXAMPLE III
The present embodiment provides an alarm clock implementation apparatus on a smart device, and referring to fig. 3, an alarm clock implementation apparatus 300 on a smart device of the present embodiment includes:
the sample data acquisition unit 301 is configured to set a reminding time and a reminding mode of an alarm clock on the intelligent device according to a user instruction, remind the user and acquire a reaction mode of the user in the corresponding reminding mode when the reminding time of the alarm clock arrives, and generate and store corresponding use habit data in the corresponding reminding mode according to the reaction mode; the reaction mode refers to the physiological activity state made by the user after the user feels the alarm clock reminding.
The training unit 302 is used for performing statistical analysis on the use habit data to obtain the intelligent reminding time and the intelligent reminding mode of the alarm clock;
and the intelligent reminding unit 303 is used for reminding the user according to the intelligent reminding mode of the alarm clock when the intelligent reminding time of the alarm clock is reached after the mode of the intelligent alarm clock is started.
As shown in fig. 3, the training unit 202 further includes a fine tuning subunit, and the fine tuning subunit can continue to collect a reaction mode of the user in the intelligent reminding mode when the intelligent reminding time is reached in the intelligent alarm clock mode, and generate new data for updating or supplementing the stored usage habit data according to the reaction mode.
The alarm clock implementation device on the intelligent equipment is mainly used for specific crowds, and typical crowds are dependent on bed. First, an information collection mode needs to be turned on. And in a specific time, collecting and recording the reaction mode of the user to the alarm clock, wherein the main collected information comprises the time required by the alarm clock to reach the target, the reaction time of the user to the alarm clock every time, and the reaction degree to different types of alarm clocks.
In one embodiment of the present invention, the sample data acquiring unit includes: the alarm clock reminding data acquisition subunit is used for setting different reminding times and different reminding modes of an alarm clock on the intelligent equipment according to a user instruction, wherein the reminding modes comprise: at least one of a sound prompt, a vibration prompt and a photoelectric prompt, wherein different prompt modes comprise different sounds; the reaction mode data acquisition subunit is used for acquiring the reaction modes of the user in the corresponding reminding modes and comprises the following steps: the user behavior detection device comprises a habit data acquisition subunit and a reminding time acquisition subunit, wherein the habit data acquisition subunit is used for acquiring the waking response time and the waking response degree data of a user according to the waking response mode of the user, and acquiring the duration from the time when the reminding time reaches to the time when the preset behavior is made according to the preset behavior response mode of the user.
In an embodiment of the invention, the intelligent reminding unit comprises a reminding mode changing determining subunit, and after the intelligent reminding unit reminds the user once according to the set intelligent reminding mode in the intelligent alarm clock mode, whether the awakening reaction degree data of the user to the intelligent reminding mode is consistent with the awakening reaction degree data in the use habit data or not is judged, if yes, the user is continuously reminded subsequently according to the set intelligent reminding mode, otherwise, the intelligent reminding mode is changed, and the changed reminding mode is used for carrying out subsequent reminding on the user.
In an embodiment of the invention, the intelligent reminding unit is further configured to sort the reminding modes according to the product value of the wake-up response time of the user in the usage habit data and the wake-up response degree data for the corresponding usage habit data stored in each reminding mode,
the reminding mode replacement determining subunit is used for selecting the reminding mode corresponding to the minimum product value of the wake-up reaction time and the wake-up reaction degree data from a plurality of reminding modes which are arranged in sequence as the replaced reminding mode.
In an embodiment of the invention, the response mode data acquiring subunit is configured to acquire wake-up response degree data input on an alarm clock reminding display interface of the intelligent device after a user wakes up; and/or acquiring a data change value corresponding to a data acquisition module in the intelligent equipment, and acquiring the awakening reaction degree data of the user according to the data change value, wherein the data acquisition module comprises one or more of the following components: biometric sensors, motion sensors, and cameras.
In an embodiment of the invention, the intelligent reminding unit is further configured to calculate an intelligent reminding time of the alarm clock according to a duration T from the time when the reminding time arrives to the time when the predetermined action is made in the stored usage habit data, and remind when the intelligent reminding time arrives, the intelligent reminding time is T earlier than the alarm clock reminding time currently set by the user, calculate a subsequent reminding time for performing subsequent reminding according to the wakeup response time in the stored usage habit data, and perform subsequent reminding when the subsequent reminding time arrives.
The difference in sound in one embodiment of the present invention includes: the types of sound are different and/or the content of the sound is different, and the types of sound include: mild type, drastic type, hypertonic type, mild and fast type; the sound content includes: acquiring real-time of the intelligent equipment, and performing sound conversion to obtain corresponding sound content; or, obtaining corresponding sound content after sound conversion is carried out by obtaining real-time news information in a news application in the intelligent equipment; or acquiring real-time weather information in weather application in the intelligent equipment, and performing sound conversion to obtain corresponding sound content.
In one embodiment of the invention, the apparatus further comprises: the alarm clock for the break days reminds the confirming unit to obtain the working day information and the break day information recorded by the calendar application in the intelligent equipment, judges whether the user sets the alarm clock on the break days according to the obtained working day information and the break day information, reminds the user according to the reminding mode corresponding to the preset alarm clock for the break days when judging that the user sets the alarm clock on the break days, or reminds the user when the alarm clock reminding time is reached.
The training unit is specifically used for starting timing from the time of arrival of the reminding time, stopping timing when receiving an instruction signal sent by a microprocessor of the intelligent device and indicating that a user completes a preset action, and taking the accumulated time period T as the duration from the time of arrival of the reminding time to the time of making the preset action, wherein the instruction signal is sent by the microprocessor when the microprocessor compares the behavior data of the user and determines that the behavior characteristic data of the user meets a preset user behavior characteristic threshold.
It should be noted that, the alarm clock implementing apparatus on the intelligent device in this embodiment corresponds to the alarm clock implementing method on the intelligent device, and therefore, the content that is not described for the alarm clock implementing apparatus on the intelligent device in this embodiment may refer to the description in the foregoing embodiment, and is not described here again.
In summary, according to the implementation scheme of the alarm clock on the intelligent device of the embodiment, the corresponding use habit data in the corresponding reminding mode is generated and stored according to the reaction mode by acquiring the reaction mode of the user in the corresponding reminding mode; then, analyzing and obtaining the intelligent reminding time and the intelligent reminding mode of the alarm clock; therefore, after the intelligent alarm clock mode is started, when the intelligent reminding time of the alarm clock is reached, the user can be reminded according to the intelligent reminding mode of the alarm clock. Therefore, the mode that the user uses the alarm clock is obtained by training based on the historical use habit data of the user, so that the follow-up user can intelligently remind the user.
While the foregoing is directed to embodiments of the present invention, other modifications and variations of the present invention may be devised by those skilled in the art in light of the above teachings. It should be understood by those skilled in the art that the foregoing detailed description is for the purpose of illustrating the invention rather than the foregoing detailed description, and that the scope of the invention is defined by the claims.
Claims (12)
1. An alarm clock implementation method on an intelligent device, the method comprising:
setting reminding time and reminding mode of an alarm clock on the intelligent equipment according to a user instruction, reminding the user when the reminding time of the alarm clock is up, acquiring a reaction mode of the user in the corresponding reminding mode, generating and storing corresponding use habit data in the corresponding reminding mode according to the reaction mode;
carrying out statistical analysis on the use habit data to obtain the intelligent reminding time and the intelligent reminding mode of the alarm clock;
after the intelligent alarm clock mode is started, when the intelligent reminding time of the alarm clock is reached, reminding a user according to the intelligent reminding mode of the alarm clock;
the method for acquiring the reaction mode of the user under the corresponding reminding mode comprises the following steps: acquiring a wake-up reaction mode of a user and making a preset action reaction mode;
generating corresponding use habit data in a corresponding reminding mode according to the reaction mode comprises the following steps:
acquiring the awakening response time and the awakening response degree data of the user according to the awakening response mode of the user;
and obtaining the duration from the time when the reminding time of the alarm clock reaches to the time when the preset action is made according to the preset action reaction mode of the user.
2. The method of claim 1, further comprising: in the intelligent alarm clock mode, when the intelligent reminding time is up, the reaction mode of the user in the intelligent reminding mode is continuously collected, and new data used for updating or supplementing the stored use habit data is generated according to the reaction mode.
3. The method according to claim 1 or 2, wherein setting the reminding time and the reminding mode of the alarm clock on the intelligent device according to the user instruction comprises:
different reminding times and different reminding modes of an alarm clock are set on the intelligent equipment according to a user instruction, wherein the reminding modes comprise: at least one of sound reminding, vibration reminding and photoelectric reminding, wherein different reminding modes comprise different sounds.
4. The method of claim 1, further comprising: in the intelligent alarm clock mode, after the user is reminded according to the intelligent reminding mode,
judging whether the data of the awakening reaction degree of the user to the intelligent reminding mode is consistent with the data of the awakening reaction degree in the using habit data or not,
if so, continuing to perform subsequent reminding on the user in an intelligent reminding mode,
otherwise, the intelligent reminding mode is replaced, and the user is subsequently reminded by using the replaced intelligent reminding mode.
5. The method of claim 4, further comprising:
sorting the reminding modes according to the product value of the awakening response time and the awakening response degree data of the user in the use habit data corresponding to each stored reminding mode,
the intelligent replacement reminding mode comprises the following steps:
and selecting the reminding mode corresponding to the minimum product value of the wake-up reaction time and the wake-up reaction degree data from the plurality of reminding modes which are arranged in sequence as the replaced reminding mode.
6. The method of claim 1, wherein obtaining wake-up reaction level data for a user comprises:
acquiring awakening reaction degree data input on an alarm clock reminding display interface of the intelligent equipment after the user awakens;
and/or acquiring a corresponding data change value of a data acquisition module in the intelligent equipment, acquiring the awakening reaction degree data of the user according to the data change value,
wherein the data acquisition module comprises one or more of the following: biometric sensors, motion sensors, and cameras.
7. The method of claim 1, wherein the obtaining the intelligent reminding time of the alarm clock by performing statistical analysis on the habit data comprises:
and calculating the intelligent reminding time of the alarm clock according to the duration T from the time of reminding to the time of making a preset action in the stored use habit data, wherein the intelligent reminding time is T earlier than the alarm clock reminding time currently set by the user, and calculating the reminding time for subsequent reminding according to the awakening response time in the stored use habit data.
8. The method of claim 3, wherein the difference in sound comprises: the type of sound differs and/or the content of the sound differs,
the sound types include: mild type, drastic type, hypertonic type, mild and fast type;
the sound content includes: acquiring real-time of the intelligent equipment, and performing sound conversion to obtain corresponding sound content; or, obtaining corresponding sound content after sound conversion is carried out by obtaining real-time news information in a news application in the intelligent equipment; or acquiring real-time weather information in weather application in the intelligent equipment, and performing sound conversion to obtain corresponding sound content.
9. The method of claim 1, further comprising:
acquiring the working day information and the holiday information recorded by the calendar application in the intelligent equipment,
judging whether the user sets an alarm clock on the holiday according to the acquired weekday information and the holiday information,
when the alarm clock is set by the user on the break day, the user is reminded according to a reminding mode corresponding to the preset break day alarm clock, or the user is not reminded when the reminding time of the alarm clock is reached.
10. The method of claim 1, wherein obtaining the duration from the time the reminder time arrives to the time the predetermined action is taken according to the predetermined action reaction mode of the user comprises:
starting timing from the time when the reminding time is reached, stopping timing when receiving an instruction signal of finishing a preset action of a user, which is sent by a microprocessor of the intelligent equipment, taking the accumulated time period as the duration T from the time when the reminding time is reached to the time when the preset action is performed,
the instruction signal is sent by the microprocessor when the microprocessor compares the behavior data of the user and determines that the behavior characteristic data of the user meets a preset user behavior characteristic threshold.
11. An alarm clock implementation device on an intelligent device, comprising:
the sample data acquisition unit is used for setting the reminding time and the reminding mode of the alarm clock on the intelligent equipment according to the instruction of the user, reminding the user when the reminding time of the alarm clock is up, acquiring the reaction mode of the user in the corresponding reminding mode, generating and storing corresponding use habit data in the corresponding reminding mode according to the reaction mode;
the training unit is used for carrying out statistical analysis on the use habit data to obtain the intelligent reminding time and the intelligent reminding mode of the alarm clock;
the intelligent reminding unit is used for reminding a user according to the intelligent reminding mode of the alarm clock when the intelligent reminding time of the alarm clock is reached after the intelligent alarm clock mode is started;
the sample data acquisition unit includes: a reaction mode data acquisition subunit and a use habit data acquisition subunit;
the reaction mode data acquisition subunit is configured to acquire a reaction mode of the user in a corresponding reminding mode, and includes: acquiring a wake-up reaction mode of a user and making a preset action reaction mode;
the using habit data acquiring subunit is used for acquiring the awakening response time and the awakening response degree data of the user according to the awakening response mode of the user; and acquiring the duration from the time when the reminding time is up to the time when the preset action is made according to the preset action reaction mode of the user.
12. The apparatus of claim 11, wherein the training unit further comprises a fine tuning subunit,
the micro-adjustment subunit can continue to acquire the reaction mode of the user in the intelligent reminding mode when the intelligent reminding time is up in the intelligent alarm clock mode, and generate new data for updating or supplementing the stored use habit data according to the reaction mode.
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| CN107423950B (en) * | 2017-07-07 | 2021-07-23 | 北京小米移动软件有限公司 | Alarm clock setting method and device |
| CN109428968B (en) * | 2017-08-24 | 2021-03-09 | 中兴通讯股份有限公司 | Method and device for controlling terminal and storage medium |
| CN107770386B (en) * | 2017-10-31 | 2020-02-18 | 维沃移动通信有限公司 | Alarm clock setting method, mobile terminal and computer readable storage medium |
| CN108973423B (en) * | 2018-08-27 | 2021-03-30 | 北京华文众合科技有限公司 | Pen washing device, painting and calligraphy copying table and painting and calligraphy learning system |
| JP7135887B2 (en) * | 2019-01-24 | 2022-09-13 | トヨタ自動車株式会社 | Prompting utterance device, prompting utterance method and program |
| CN110191237B (en) * | 2019-07-08 | 2020-09-15 | 中国联合网络通信集团有限公司 | Terminal alarm clock setting method and terminal |
| CN110816076A (en) * | 2019-09-29 | 2020-02-21 | 厦门喵宝科技有限公司 | Portable printer and tomato clock implementation method, device, equipment and system thereof |
| CN110969420B (en) * | 2019-12-13 | 2020-11-20 | 海南大学 | Intelligent reminding mechanism for matching scene, event, person and intention |
| CN111752441A (en) * | 2020-06-16 | 2020-10-09 | 闽江学院 | Method for setting timing alarm clocks with different durations by one key |
| CN113055531B (en) * | 2021-03-26 | 2022-08-16 | 展讯半导体(南京)有限公司 | Time reminding method and system of intelligent terminal, electronic equipment and medium |
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