WO2020168445A1

WO2020168445A1 - Sleep recognition method, apparatus, storage medium, and electronic device

Info

Publication number: WO2020168445A1
Application number: PCT/CN2019/075345
Authority: WO
Inventors: 戴堃; 帅朝春; 张寅祥; 陆天洋; 吴建文
Original assignee: 深圳市欢太科技有限公司; Oppo广东移动通信有限公司
Priority date: 2019-02-18
Filing date: 2019-02-18
Publication date: 2020-08-27
Also published as: CN113056756A; CN113056756B

Abstract

Provided is a sleep recognition method, which is such that an electronic device, when currently satisfying a preset sleep recognition condition, obtains a user's behavior characteristics of using the electronic device on a plurality of consecutive natural days including the current day and performs a weighted summation to obtain a first weighted sum value, and finally determines whether the first weighted sum value is greater than or equal to a preset weighted sum value, and, according to the result of the determination, determines whether the user is in a sleep state, thus improving accuracy in recognizing sleep of the user.

Description

Sleep recognition method, device, storage medium and electronic equipment

Technical field

This application belongs to the field of computer technology, and in particular relates to a sleep recognition method, device, storage medium, and electronic equipment.

Background technique

At present, electronic devices such as tablet computers and mobile phones are configured to perform system updates while the user is sleeping, and other operations that affect the user's use or take a long time to avoid affecting the user's use. To this end, the related technology achieves the aforementioned purpose by recognizing the user's sleep. For example, the electronic device determines that the user is in a sleep state when the screen is turned off for a specific period of time. However, the accuracy of the sleep recognition of the user in the related technology Lower.

Summary of the invention

The embodiments of the present application provide a sleep recognition method, device, storage medium, and electronic device, which can enable the electronic device to accurately perform sleep recognition on a user.

In the first aspect, an embodiment of the present application provides a sleep recognition method applied to an electronic device, including:

If the preset sleep recognition condition is currently met, acquiring behavior characteristics of the user using the electronic device on multiple consecutive natural days including the current day;

Performing a weighted summation on the behavior characteristics of the multiple consecutive natural days to obtain a first weighted sum value, wherein the weight value corresponding to the behavior characteristics of each natural day decreases in order of time from near to far;

It is determined whether the first weighted sum value is greater than or equal to the preset weighted sum value, if yes, it is determined that the user is in a sleep state, otherwise it is determined that the user is not in a sleep state.

In the second aspect, an embodiment of the present application provides a sleep recognition device, which is applied to electronic equipment, and includes:

The acquiring module is configured to acquire the behavior characteristics of the user using the electronic device on multiple consecutive natural days including the current day when the preset sleep recognition condition is currently met;

The weighting module is used to perform a weighted summation on the behavior characteristics of the multiple consecutive natural days to obtain a first weighted sum value, wherein the weight value corresponding to the behavior characteristics of each natural day is based on the time from near to far The order is lowered;

The identification module is used to determine whether the first weighted sum value is greater than or equal to a preset weighted sum value, if yes, it is determined that the user is in a sleep state, otherwise it is determined that the user is not in a sleep state.

In a third aspect, an embodiment of the present application provides a storage medium on which a computer program is stored, wherein, when the computer program is executed on a computer, the computer is caused to execute the sleep recognition method provided in the embodiment of the present application. step.

In a fourth aspect, an embodiment of the present application provides an electronic device, including a memory and a processor, and the processor is configured to execute the following by calling a computer program stored in the memory:

In the embodiment of the present application, the electronic device can obtain the user's behavioral characteristics of using the electronic device on multiple consecutive natural days including the current day when the preset sleep recognition condition is currently met, and compare the obtained multiple consecutive natural days Perform weighted summation of the behavior characteristics of the user to obtain the first weighted sum value, and finally determine whether the first weighted sum value is greater than or equal to the preset weighted sum value, and determine whether the user is in a sleep state according to the judgment result, which can improve the sleep recognition of the user Accuracy.

Description of the drawings

The following detailed description of specific implementations of the present application in conjunction with the accompanying drawings will make the technical solutions of the present application and its beneficial effects obvious.

FIG. 1 is a schematic flowchart of a sleep recognition method provided by an embodiment of the present application.

FIG. 2 is a schematic diagram of the weight distribution of behavior features of multiple consecutive natural days obtained in an embodiment of the present application.

FIG. 3 is a schematic diagram of another process of a sleep recognition method provided by an embodiment of the present application.

Fig. 4 is a schematic diagram of a preset operation configuration interface provided in an embodiment of the present application.

Fig. 5 is a schematic structural diagram of a sleep recognition device provided by an embodiment of the present application.

Fig. 6 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

FIG. 7 is another schematic structural diagram of an electronic device provided by an embodiment of the present application.

detailed description

Please refer to the drawings, in which the same component symbols represent the same components, and the principle of the present application is implemented in an appropriate computing environment for illustration. The following description is based on the exemplified specific embodiments of the present application, which should not be regarded as limiting other specific embodiments that are not described in detail herein.

Please refer to FIG. 1. FIG. 1 is a schematic flowchart of a sleep recognition method provided by an embodiment of the present application. The sleep recognition method can be applied to electronic devices. The process of the sleep recognition method may include:

In 101, if the preset sleep recognition condition is currently met, the behavior characteristics of the user using the electronic device on multiple consecutive natural days including the current day are acquired.

It should be noted that there is no specific limitation on the setting of the sleep recognition condition in the embodiment of the present application, and can be set by a person of ordinary skill in the art according to actual needs. For example, you can set the sleep recognition condition that the ambient light brightness of the current environment of the electronic device is lower than the preset brightness, so that the electronic device can detect the ambient light brightness of its environment in real time, such as through the set ambient light sensor The ambient light brightness of the environment is detected, and when the ambient light brightness of the environment is lower than the preset brightness, it is determined that the sleep recognition condition is currently met. For another example, the sleep recognition condition can be set as the system time of the electronic device reaches the preset time, and so on.

In the embodiment of the present application, when the electronic device determines that the preset sleep recognition condition is currently met, it triggers the sleep recognition of the user, that is, recognizes whether the user is currently in a sleep state. First, the electronic device obtains the user's behavioral characteristics of using the electronic device on multiple consecutive natural days including the current day.

It should be noted that the number of natural days for acquiring behavior characteristics is not specifically limited in the embodiments of this application, and can be set by those of ordinary skill in the art according to actual needs. For example, the electronic device can obtain the user’s behavioral characteristics of using the electronic device on 7 calendar days including the current day (that is, the current day and the 6 calendar days before the current day); for example, the electronic device can also acquire the user’s behavioral characteristics including the current day. Of 30 calendar days using electronic devices (that is, the current day and the 29 calendar days before that day).

In 102, the acquired behavior characteristics of multiple consecutive natural days are weighted and summed to obtain a first weighted sum value, where the weight values corresponding to the behavior characteristics of each natural day are in order from near to far in time. reduce.

In the embodiment of the present application, after the electronic device obtains the user's behavior characteristics of using the electronic device on multiple consecutive natural days including the current day, it is determined based on the acquired behavior characteristics of the multiple natural days. For the corresponding weight value, a weighted summation is performed on the acquired behavior characteristics of multiple consecutive natural days, and the weighted sum value obtained at this time is recorded as the first weighted sum value.

It should be noted that in the embodiments of this application, the weight value corresponding to the behavior characteristics of each natural day is reduced in order of time from near to far as a constraint (in layman's terms, the closer the time is, the behavior characteristics of the natural day occupy The higher the weight, and the farther the natural day’s behavior features have a lower weight), and the specific value of the weight value corresponding to the behavior characteristics of each natural day is not specifically limited.

For example, referring to Figure 2, the electronic device obtains the user’s behavior characteristics on 7 natural days including the current day (the current day, and the first day of the current day to the sixth day of the current day) for sleep recognition of the user. Among them, the weight value corresponding to the behavior characteristic of the day is 0.5, the weight value corresponding to the behavior characteristic of the first day of the current day is 0.2, the behavior characteristic corresponding to the second day of the current day is 0.1, and the third day of the current day The weight value corresponding to the behavior characteristic of the day is 0.08, the weight value corresponding to the behavior characteristic of the fourth day before the current day is 0.06, and the behavior characteristic corresponding to the fifth day of the current day has a weight value of 0.04. The weight value corresponding to the behavior feature is 0.02.

In 103, it is determined whether the first weighted sum value is greater than or equal to the preset weighted sum value, if yes, it is determined that the user is in a sleep state, otherwise, it is determined that the user is not in a sleep state.

In the embodiment of the present application, the electronic device performs a weighted summation on the acquired behavior characteristics of multiple consecutive natural days to obtain the first weighted sum value, and then determines whether the first weighted sum value is greater than or equal to the preset weighted sum value. Obtain the judgment result, and determine whether the user is in a sleep state according to the judgment result, wherein, if the judgment result is that the first weighted sum value is greater than or equal to the preset weighted sum value, it is judged that the user is currently in a sleep state, and if the judgment result is the first weighted value If the sum value is less than the preset weighted sum value, it is determined that the user is not currently in a sleep state.

It can be seen from the above that, in the embodiment of the present application, the electronic device can obtain the user's behavioral characteristics of using the electronic device on multiple consecutive natural days including the current day when the preset sleep recognition condition is currently met, and compare the obtained multiple Perform weighted summation of the behavior characteristics of consecutive natural days to obtain the first weighted sum value, and finally judge whether the first weighted sum value is greater than or equal to the preset weighted sum value, and determine whether the user is in a sleep state according to the judgment result, which can improve the user The accuracy of sleep recognition.

Please refer to FIG. 3, which is a schematic diagram of another flow of the sleep recognition method provided by an embodiment of the application. The sleep recognition method can be applied to electronic devices. The process of the sleep recognition method may include:

In 201, if the preset sleep recognition condition is currently met, the electronic device obtains the multi-dimensional usage information of the electronic device used by the user on each of the multiple consecutive natural days including the current day.

In 202, the electronic device obtains the behavior characteristics of each natural day according to the multi-dimensional usage behavior information corresponding to each natural day.

It should be noted that there is no specific limitation on the setting of the sleep recognition condition in the embodiment of the present application, and can be set by a person of ordinary skill in the art according to actual needs.

As a first optional implementation manner, the sleep recognition condition can be configured as:

The duration of the screen off state reaches the first preset duration.

For example, the electronic device can start a timer for timing when entering the screen-off state, and use the timing duration of the timer to characterize the duration of the electronic device in the screen-off state, where the electronic device’s timer duration reaches the first preset Stop the timer when the duration or exit the screen-off state, and reset the timer. In this way, when the time duration of the timer reaches the first preset duration, that is, when the duration of the off-screen state reaches the first preset duration, the electronic device determines that the sleep recognition condition is currently met.

As a second optional implementation manner, the sleep recognition condition can be configured as:

The duration of the static state reaches the second preset duration.

For example, an electronic device can start a timer to count when it enters a stationary state (for example, the electronic device can detect whether there is acceleration in any direction according to the built-in three-axis acceleration sensor, and if it does not exist, it is determined to be in a stationary state). The timing duration of the timer represents the duration of the electronic device being in a static state, where the electronic device stops counting the timer and resets the timer when the timing duration of the timer reaches the second preset duration or exits the static state. In this way, when the timing duration of the timer reaches the second preset duration, that is, when the duration of its static state reaches the second preset duration, the electronic device determines that the sleep recognition condition is currently met.

As a third optional implementation manner, the sleep recognition condition can be configured as:

When the duration of being in the off-screen state reaches the third preset duration, it is in a static state.

For example, the electronic device can start a timer for timing when entering the screen-off state, and use the timer duration to characterize the duration of the electronic device in the screen-off state, where the electronic device's timer duration reaches the third preset Stop the timer when the duration or exit the screen-off state, and reset the timer. In this way, when the time duration of the timer reaches the third preset duration, the electronic device determines whether it is currently in a static state through the three-axis acceleration sensor, and if yes, determines that the sleep recognition condition is currently met.

As a fourth optional implementation manner, the sleep recognition condition may be configured as:

When the duration of the static state reaches the fourth preset duration, the screen is turned off.

For example, the electronic device can start a timer for timing when entering a static state, and the duration of the timer is used to characterize the duration of the electronic device in the static state, where the timer duration of the electronic device reaches the fourth preset duration or Stop the timer counting when exiting the static state and reset the timer. In this way, when the timer duration reaches the fourth preset duration, the electronic device determines whether the screen is currently in the off state, and if yes, determines that the sleep recognition condition is currently met.

It should be noted that the values of the first preset duration, the second preset duration, the third preset duration, and the fourth preset duration above may be the same or different. Specifically, a person of ordinary skill in the art can select appropriate values based on experience. . For example, in the embodiment of the present application, the first preset duration, the second preset duration, the third preset duration, and the fourth preset duration can all be set to 30 minutes. In this way, the electronic device continues to be in the off-screen state. When the duration reaches 30 minutes, it is determined that the sleep recognition condition is satisfied; or when the electronic device is in a static state for 30 minutes, it is determined that the sleep recognition condition is satisfied; or when the electronic device is in the off-screen state for 30 minutes In a static state, it is determined that the sleep recognition condition is satisfied; or, when the electronic device is in the off-screen state when the duration of the static state reaches 30 minutes, it is determined that the sleep recognition condition is satisfied.

In the embodiment of the present application, when the electronic device determines that the preset sleep recognition condition is currently met, it triggers the sleep recognition of the user, that is, recognizes whether the user is currently in a sleep state. First, the electronic device obtains the user's behavioral characteristics of using the electronic device on multiple consecutive natural days including the current day. To this end, the electronic device obtains the multi-dimensional use information of the electronic device used by the user on each of the multiple consecutive natural days including the current day, and obtains the behavior characteristics of each natural day according to the multi-dimensional use information corresponding to each natural day.

It should be noted that there are no specific restrictions on the dimensions of obtaining usage information in the embodiments of this application, but at least it includes the time dimension describing when the user uses the electronic device, the location dimension describing where the user uses the electronic device, and the description how The operation dimension of operating the electronic device, for example, the electronic device can obtain information describing which applications the user uses the electronic device to run, which phone information the user makes using the electronic device, and the power consumption rate of the electronic device in the operation dimension.

In 203, the electronic device performs a weighted summation on the behavior characteristics of a plurality of consecutive natural days to obtain a first weighted sum value, wherein the weight values corresponding to the behavior characteristics of each natural day are sequentially decreased in the order of time from near to far .

In 204, the electronic device determines whether the first weighted sum value is greater than or equal to the preset weighted sum value, if yes, it is determined that the user is in a sleep state, otherwise it is determined that the user is not in a sleep state.

In the embodiment of the present application, the electronic device performs a weighted summation on the acquired behavior characteristics of multiple consecutive natural days to obtain the first weighted sum value, and then determines whether the first weighted sum value is greater than or equal to the preset weighted sum value. Obtain the judgment result, and determine whether the user is in a sleep state according to the judgment result, wherein, if the judgment result is that the first weighted sum value is greater than or equal to the preset weighted sum value, it is judged that the user is in a sleep state, and if the judgment result is the first weighted sum If the value is less than the preset weighted sum value, it is determined that the user is not in a sleep state.

For example, assuming that the preset weighted sum value is 27, if the obtained first weighted sum value is 26, it is determined that the user is currently sleeping, and if the obtained first weighted sum value is 25, it is determined that the user is not currently sleeping.

In 205, if it is determined that the user is in a sleep state, the electronic device performs a preset operation, where the preset operation includes at least one of a system update operation, an application update operation, and a power consumption control operation.

In the embodiment of the present application, when the electronic device determines that the user is currently in the sleep state, it performs a pre-configured preset operation that is executed when the user is in the sleep state. Wherein, the preset operation includes but is not limited to at least one of a system update operation, an application update operation, and a power consumption control operation, which may be manually configured by the user or may be configured by the electronic device by default.

For example, the electronic device can configure the system update operation as a preset operation, so as to perform the system update operation when the user is in sleep state, and update the system to the latest version; the electronic device can also configure the application update operation as a preset operation, The user performs application update operations when the user is asleep, updates the installed applications to the latest version, etc.; electronic devices can configure the power consumption control operation as a preset operation, thereby applying the preset for reduction when the user is asleep Power consumption control strategy for power consumption, reducing the power consumption of electronic devices and so on.

For another example, please refer to Figure 4. The electronic device provides a preset operation configuration interface. As shown in Figure 4, the preset operation configuration interface includes the prompt message "Please select the operation performed during sleep", operation selection box, drop-down button, drop-down Menu, OK button, and Cancel button. Among them, the drop-down menu is called out according to the user's click operation on the drop-down button. The drop-down menu provides various operations that the electronic device can perform during the user's sleep interval, as shown in the system update in Figure 4 Operation, application update operations, etc., the user can select the operation performed by the electronic device during sleep according to actual needs, and after selecting the operation that needs to be performed by the electronic device during sleep, click the OK button to instruct the electronic device to select the user The operation as the aforementioned preset operation. Or, if the user finds that there is no need for the operation performed by the electronic device during sleep, he can click the cancel button to instruct the electronic device to perform the preset operation of the default configuration.

In one embodiment, when acquiring the behavior characteristics of each natural day according to the multi-dimensional usage behavior information corresponding to each natural day, the electronic device may execute:

(1) The electronic device separately performs a weighted summation on the multi-dimensional usage information of each natural day to obtain the second weighted sum value of each natural day;

(2) The electronic device uses the second weighted sum of each natural day as the behavior characteristic of each natural day.

In the embodiment of the present application, the use information of each dimension in the multi-dimensional use information is pre-allocated with a corresponding weight value. The embodiment of the present application does not specifically limit the weight distribution of the multi-dimensional use information, which can be determined by those of ordinary skill in the art. Actually need to be set. In this way, when the electronic device obtains the behavior characteristics of each natural day according to the multi-dimensional usage behavior information corresponding to each natural day, for any one of the aforementioned multiple natural days, the electronic device can be based on the multi-dimensional usage information of the natural day. The weight value corresponding to the dimension usage information is weighted and summed with the multidimensional usage information of the natural day to obtain the second weighted sum value of the natural day. In this way, the electronic device can respectively perform a weighted summation of the multi-dimensional usage information of each natural day to obtain the second weighted sum value of each natural day, and use the second weighted sum value of each natural day as the behavior characteristic of each natural day.

In an embodiment, when the weighted summation of the multi-dimensional usage information of each natural day is performed to obtain the second weighted sum value of each natural day, the electronic device may execute:

(1) Electronic equipment normalizes the multi-dimensional usage information of each natural day;

(2) The electronic device respectively performs a weighted summation on the normalized multi-dimensional usage information of each natural day to obtain the second weighted sum value of each natural day.

In order to improve the efficiency of weighted summation, when electronic devices perform weighted summation on the multi-dimensional use information of each natural day, firstly, the multi-dimensional use information of each natural day is normalized, and the use information of different dimensions is normalized to the same Within the numerical range.

For example, for any one of the foregoing multiple natural days, a linear function can be used to normalize the multi-dimensional usage information of the natural day to the numerical interval [0,1], and the zero mean can also be used to normalize Yihua normalizes the multi-dimensional usage information of the natural day to the numerical interval [0,1], and so on.

In one embodiment, if the preset sleep recognition conditions are currently met, the electronic device can also perform multi-dimensional usage information before the user obtains the multi-dimensional usage information of the electronic device used by the user on each of the multiple consecutive natural days including the current day. :

(1) Establish a database of usage information for electronic equipment;

(2) The electronic device records the multi-dimensional usage information of the user using the electronic device in real time, and stores the recorded multi-dimensional usage information in the usage information database;

When acquiring the multi-dimensional usage information of the electronic device used by the user on each of the multiple consecutive natural days including the current day, the electronic device can perform:

The electronic device obtains the multi-dimensional usage information of the electronic device used by the user on each of the multiple consecutive natural days including the current day from the usage information database.

In order to facilitate the management of the usage information database, a local usage information database can be established by the electronic device. The embodiment of the present application does not limit the database type of the usage information database, and can be selected by a person of ordinary skill in the art according to actual needs.

After the electronic device completes the establishment of the usage information database, in each natural day, the electronic device records the multi-dimensional usage information of the user using the electronic device in real time, and stores the recorded multi-dimensional usage information in the aforementioned usage information database.

For example, the electronic device obtains the user’s behavior characteristics on 7 natural days including the current day for sleep recognition of the user. Assuming that the current day is a Sunday, the electronic device obtains the multi-dimensional information of the current day (that is, Sunday) from the usage information database. Usage information, and multi-dimensional usage information from Monday to Saturday before the day.

In an embodiment, before performing the preset operation, the electronic device may perform:

(1) The electronic device obtains the user-configured schedule;

(2) The electronic device obtains the sleep interval planned by the user according to the obtained schedule and determines whether it is currently within the planned sleep interval;

(3) If yes, the electronic device performs a preset operation.

In the embodiment of the present application, when the electronic device determines that the user is currently sleeping, it obtains the schedule configured by the user, and further obtains the sleep interval planned by the user according to the obtained schedule, and determines whether it is currently within the planned sleep interval If it is, it means that the recognition result obtained by the electronic device performing sleep recognition on the user is consistent with the work schedule configured by the user, and the preset operation is performed at this time.

For example, if the electronic device obtains the user-configured schedule for sleeping at 10:30, starting at 6:30 and doing something at 7:00, then according to the schedule, the electronic device can obtain the scheduled sleep interval of 10:30- At 6:30, if the electronic device determines that the sleep recognition condition is met at 12:00 and that the user is in a sleep state, the electronic device performs a preset operation.

In an embodiment, after determining whether it is currently in the sleep interval, the electronic device may further execute:

If it is currently before the aforementioned sleep interval, when it reaches the aforementioned sleep interval and satisfies the sleep recognition condition, execute the aforementioned preset operation.

Wherein, if the determination result that is currently located before the aforementioned sleep interval is obtained, when the electronic device waits for the aforementioned sleep interval, it determines whether the sleep recognition condition is satisfied, and if yes, executes the aforementioned preset operation, otherwise it does not execute it.

For example, if the electronic device obtains the user’s configured schedule to sleep at 10:30, start at 6:30 and do something at 7:00, then according to the schedule, the electronic device can obtain the user’s sleep interval as 10:30-6 :30, if the electronic device determines that the sleep recognition condition is met at 10:00 and the user is in a sleep state, the electronic device does not perform the aforementioned preset operation at this time, but waits until 10:30 to determine whether the current sleep recognition is satisfied Condition, if yes, execute the aforementioned preset operation directly.

Please refer to FIG. 5, which is a schematic structural diagram of a sleep recognition device provided by an embodiment of the application. The sleep recognition device can be applied to electronic equipment. The sleep recognition device may include: an acquisition module 401, a weighting module 402, and an identification module 403.

The obtaining module 401 is configured to obtain the behavior characteristics of the user using the electronic device on multiple consecutive natural days including the current day when the preset sleep recognition condition is currently met;

The weighting module 402 is configured to perform a weighted summation of the behavior characteristics of multiple consecutive natural days acquired by the acquisition module 401 to obtain a first weighted sum value, where the weight values corresponding to the behavior characteristics of each natural day are in order from recent to The distant time sequence decreases sequentially;

The identification module 403 is used to determine whether the first weighted sum value is greater than or equal to the preset weighted sum value, if yes, determine that the user is in a sleep state, otherwise, determine that the user is not in a sleep state.

In an implementation manner, when acquiring behavioral characteristics of a user using an electronic device on multiple consecutive natural days including the current day, the acquiring module 401 may be used to:

Obtain the multi-dimensional usage information of the electronic device used by the user in multiple consecutive natural days including the current day;

Obtain the behavior characteristics of each natural day according to the multi-dimensional usage behavior information corresponding to each natural day.

In one embodiment, when acquiring the behavior characteristics of each natural day according to the multi-dimensional usage behavior information corresponding to each natural day, the acquiring module 401 may be used to:

Perform a weighted summation on the multi-dimensional usage information of each calendar day to obtain the second weighted sum value of each calendar day;

The second weighted sum value of each natural day is taken as the behavior characteristic of each natural day.

In an embodiment, when the weighted summation of the multi-dimensional usage information of each natural day is performed to obtain the second weighted sum value of each natural day, the obtaining module 401 may be used to:

Normalize the multi-dimensional usage information of each natural day;

The normalized multi-dimensional usage information of each natural day is weighted and summed to obtain the second weighted sum value of each natural day.

In an embodiment, the sleep recognition device further includes a recording module for:

Establish a database of usage information;

Real-time recording of the multi-dimensional usage information of users using electronic equipment, and store the recorded multi-dimensional usage information in the usage information database;

When acquiring the multi-dimensional usage information of the electronic device used by the user on each of the multiple consecutive natural days including the current day, the acquisition module 401 may be used to:

Obtain the multi-dimensional use information of the electronic device used by the user on each of the multiple consecutive natural days including the current day from the use information database.

In an embodiment, the sleep recognition conditions include:

The duration of the screen off state reaches the first preset duration;

Or, the duration of the static state reaches the second preset duration;

Or, stay in a static state when the duration of the screen off state reaches the third preset duration;

Or, the screen is turned off when the duration of the static state reaches the fourth preset duration.

In an embodiment, the sleep recognition device further includes an execution module for:

If the identification module 403 determines that the user is in a sleep state, a preset operation is performed, where the preset operation includes at least one of a system update operation, an application update operation, and a power consumption control operation.

In one embodiment, before executing the preset operation, the execution module is also used to:

Get the work schedule configured by the user;

Obtain the sleep interval planned by the user according to the obtained schedule, and determine whether it is currently within the planned sleep interval;

If yes, perform the preset operation.

In one embodiment, after judging whether it is currently in the sleep interval, the execution module is further configured to:

The embodiment of the present application provides a computer-readable storage medium on which a computer program is stored. When the stored computer program is executed on a computer, the computer is caused to execute the steps in the sleep recognition method provided in the embodiment of the present application.

An embodiment of the present application further provides an electronic device including a memory and a processor, and the processor executes the steps in the sleep recognition method provided in the embodiment of the present application by calling a computer program stored in the memory.

Please refer to FIG. 6, which is a schematic structural diagram of an electronic device provided by an embodiment of the application. The electronic device may include a memory 601 and a processor 602. A person of ordinary skill in the art can understand that the structure of the electronic device shown in FIG. 6 does not constitute a limitation on the electronic device, and may include more or less components than those shown in the figure, or a combination of certain components, or different component arrangements. .

The memory 601 can be used to store application programs and data. The application program stored in the memory 601 contains executable code. Application programs can be composed of various functional modules. The processor 602 executes various functional applications and data processing by running application programs stored in the memory 601.

The processor 602 is the control center of the electronic device. It uses various interfaces and lines to connect the various parts of the entire electronic device, and executes the electronic device by running or executing the application program stored in the memory 601 and calling the data stored in the memory 601 The various functions and processing data of the electronic device can be used to monitor the electronic equipment as a whole.

In the embodiment of the present application, the processor 602 in the electronic device will load the executable code corresponding to the process of one or more audio processing programs into the memory 601 according to the following instructions, and the processor 602 will run and store the executable code The application program in the memory 601 thus executes:

If the preset sleep recognition conditions are currently met, acquiring behavioral characteristics of the user using the electronic device on multiple consecutive natural days including the current day;

Perform a weighted summation on the acquired behavior characteristics of multiple consecutive natural days to obtain a first weighted sum value, where the weight values corresponding to the behavior characteristics of each natural day decrease in order of time from near to far;

It is judged whether the first weighted sum value is greater than or equal to the preset weighted sum value, if yes, it is judged that the user is in a sleep state, otherwise it is judged that the user is not in a sleep state.

Please refer to FIG. 7. FIG. 7 is another schematic structural diagram of the electronic device provided by an embodiment of the application. The difference from the electronic device shown in FIG. 6 is that the electronic device further includes components such as an input unit 603 and an output unit 604.

The input unit 603 can be used to receive inputted numbers, character information or user characteristic information (such as fingerprints), and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.

The output unit 604 may be used to output information input by the user or information provided to the user, such as a speaker.

In an implementation manner, when acquiring the behavior characteristics of the user using the electronic device on multiple consecutive natural days including the current day, the processor 602 may execute:

In an embodiment, when acquiring the behavior characteristics of each natural day according to the multi-dimensional usage behavior information corresponding to each natural day, the processor 602 may execute:

In an embodiment, when the weighted summation of the multi-dimensional usage information of each natural day is performed to obtain the second weighted sum value of each natural day, the processor 602 may execute:

Normalize the multi-dimensional usage information of each natural day;

In an implementation manner, the processor 602 may further execute:

Establish a database of usage information;

When acquiring the multi-dimensional usage information of the electronic device used by the user on each of the multiple consecutive natural days including the current day, the processor 602 may execute:

In an embodiment, the sleep recognition conditions include:

The duration of the screen off state reaches the first preset duration;

Or, the duration of the static state reaches the second preset duration;

In an implementation manner, the processor 602 may further execute:

If it is determined that the user is in the sleep state, a preset operation is performed, where the preset operation includes at least one of a system update operation, an application update operation, and a power consumption control operation.

In an embodiment, before performing a preset operation, the processor 602 may perform:

Get the work schedule configured by the user;

If yes, perform the preset operation.

In an embodiment, after determining whether it is currently in the sleep interval, the processor 602 may execute:

In the foregoing embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in an embodiment, please refer to the detailed description of the sleep recognition method above, which will not be repeated here.

The sleep recognition device/electronic device provided by the embodiment of the application belongs to the same concept as the sleep recognition method in the above embodiment. Any method provided in the sleep recognition method embodiment can be run on the sleep recognition device/electronic device. For the implementation process, refer to the embodiment of the sleep recognition method, which will not be repeated here.

It should be noted that for the sleep recognition method of the embodiment of the present application, those of ordinary skill in the art can understand that all or part of the process of implementing the sleep recognition method of the embodiment of the present application can be completed by controlling the relevant hardware by a computer program. The program may be stored in a computer readable storage medium, such as stored in a memory, and executed by at least one processor, and may include a process such as an embodiment of the sleep recognition method during execution. Among them, the storage medium may be a magnetic disk, an optical disc, a read only memory (ROM, Read Only Memory), a random access memory (RAM, Random Access Memory), etc.

For the sleep recognition device of the embodiment of the present application, its functional modules may be integrated into one processing chip, or each module may exist alone physically, or two or more modules may be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or software function modules. If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer readable storage medium, such as a read-only memory, a magnetic disk, or an optical disk.

The sleep recognition method, device, storage medium, and electronic equipment provided by the embodiments of the application are described in detail above. Specific examples are used in this article to illustrate the principles and implementations of the application. The description of the above embodiments is only It is used to help understand the method and core idea of this application; at the same time, for those skilled in the art, according to the idea of this application, there will be changes in the specific implementation and the scope of application. It should be understood as a limitation of this application.

Claims

A sleep recognition method applied to electronic equipment, including:

If the preset sleep recognition condition is currently met, acquiring behavior characteristics of the user using the electronic device on multiple consecutive natural days including the current day;

Performing a weighted summation on the behavior characteristics of the multiple consecutive natural days to obtain a first weighted sum value, wherein the weight value corresponding to the behavior characteristics of each natural day decreases in order of time from near to far;

It is determined whether the first weighted sum value is greater than or equal to the preset weighted sum value, if yes, it is determined that the user is in a sleep state, otherwise it is determined that the user is not in a sleep state.
The sleep recognition method according to claim 1, wherein said acquiring the behavior characteristics of the user using the electronic device on multiple consecutive natural days including the current day comprises:

Acquiring multi-dimensional usage behavior information of the user using the electronic device on each natural day;

According to the multi-dimensional usage behavior information corresponding to each natural day, the behavior characteristics of each natural day are acquired.
The sleep recognition method according to claim 2, wherein said obtaining the behavior characteristics of each natural day according to the multi-dimensional usage behavior information corresponding to each natural day comprises:

Performing a weighted summation on the multi-dimensional usage information of each natural day respectively to obtain the second weighted sum value of each natural day;

The second weighted sum value of each natural day is taken as the behavior characteristic of each natural day.
The sleep recognition method according to claim 3, wherein said separately weighting and summing the multi-dimensional usage information of each of said natural days to obtain the second weighted sum value of each of said natural days comprises:

Normalize the multi-dimensional usage information of each natural day;

A weighted summation is performed on the normalized multi-dimensional usage information of each natural day to obtain a second weighted sum value of each natural day.
The sleep recognition method according to claim 1, wherein the sleep recognition condition comprises:

The duration of the screen off state reaches the first preset duration;

Or, the duration of the static state reaches the second preset duration;

Or, stay in a static state when the duration of the screen off state reaches the third preset duration;

Or, the screen is turned off when the duration of the static state reaches the fourth preset duration.
The sleep recognition method according to claim 1, wherein the sleep recognition method further comprises:

If it is determined that the user is in a sleep state, a preset operation is performed, where the preset operation includes at least one of a system update operation, an application update operation, and a power consumption control operation.
The sleep recognition method according to claim 6, wherein before the performing the preset operation, the method further comprises:

Obtaining the schedule configured by the user;

Acquire the sleep interval planned by the user according to the schedule, and determine whether it is currently within the planned sleep interval;

If yes, execute the preset operation.
A sleep recognition device applied to electronic equipment, including:

The acquiring module is configured to acquire the behavior characteristics of the user using the electronic device on multiple consecutive natural days including the current day when the preset sleep recognition condition is currently met;

The weighting module is used to perform a weighted summation on the behavior characteristics of the multiple consecutive natural days to obtain a first weighted sum value, wherein the weight value corresponding to the behavior characteristics of each natural day is based on the time from near to far The order is lowered;

The identification module is used to determine whether the first weighted sum value is greater than or equal to a preset weighted sum value, if yes, it is determined that the user is in a sleep state, otherwise it is determined that the user is not in a sleep state.
A storage medium having a computer program stored thereon, wherein when the computer program is executed on a computer, the computer is caused to execute the sleep identification method according to any one of claims 1 to 7.
An electronic device, comprising a memory and a processor, wherein the processor is configured to execute the sleep recognition method according to any one of claims 1 to 7 by calling a computer program stored in the memory.