WO2023217137A1

WO2023217137A1 - Sleep data calibration method and electronic device

Info

Publication number: WO2023217137A1
Application number: PCT/CN2023/092981
Authority: WO
Inventors: 陈晓斌
Original assignee: 维沃移动通信有限公司
Priority date: 2022-05-09
Filing date: 2023-05-09
Publication date: 2023-11-16
Also published as: CN114974495A

Abstract

The present application relates to the technical field of electronics. Disclosed are a sleep data calibration method and an electronic device. A specific scheme comprises: obtaining historical use data of an electronic device; if the electronic device and a wearable device are in a communication connection state, receiving first sleep data sent by the wearable device; and performing calibration processing on the first sleep data according to the historical use data to obtain second sleep data, wherein the first sleep data is sleep data of a user, in a first historical time period, obtained by the wearable device, the historical use data comprises electronic device use data of the user, in the first historical time period, obtained by the electronic device, the electronic device and the wearable device are not in a communication connection state within the first historical time period, and a total sleep duration comprised in the second sleep data is less than or equal to a total sleep duration comprised in the first sleep data.

Description

Sleep data calibration methods and electronic devices

Cross-references to related applications

This application claims priority to the Chinese patent application with application number 202210503553.3 and the invention name "Sleep Data Calibration Method and Electronic Device" submitted on May 9, 2022, which is fully incorporated into this application by reference.

Technical field

This application belongs to the field of electronic technology, and specifically relates to a sleep data calibration method and electronic equipment.

Background technique

With the continuous upgrading of electronic technology products, the functions of wearable devices are becoming more and more relevant to people's lives. For example, people can monitor their sleep status by wearing wearable devices.

In related technologies, most people have the habit of using electronic devices before going to bed. When the user is using the electronic device, the human body is in a relatively stable state, and the wearable device may also recognize the time period during which the user uses the electronic device as sleep. time period, therefore, the accuracy of sleep data obtained through sleep monitoring methods in related technologies is low.

Contents of the invention

The purpose of the embodiments of the present application is to provide a sleep data calibration method and electronic device, which can solve the problem of low accuracy of sleep data obtained through sleep monitoring methods in related technologies.

In a first aspect, embodiments of the present application provide a sleep data calibration method, which method includes: obtaining historical usage data of an electronic device; when the electronic device and the wearable device are in a communication connection state, receiving the wearable device The first sleep data is sent; the first sleep data is calibrated according to the historical usage data to obtain the second sleep data; wherein the first sleep data is the user's first historical data obtained by the wearable device. The sleep data of the time period, the history The historical usage data includes the usage data of the electronic device by the user in the first historical time period obtained by the electronic device, and the electronic device and the wearable device have not used the electronic device in the first historical time period. In the communication connection state, the total sleep duration included in the second sleep data is less than or equal to the total sleep duration included in the first sleep data.

In the second aspect, embodiments of the present application provide a sleep data calibration device, including: an acquisition module, a receiving module and a processing module; the acquisition module is used to acquire historical usage data of electronic equipment; the receiving module is used to When the electronic device and the wearable device are in a communication connection state, receive the first sleep data sent by the wearable device; the processing module is configured to calibrate the first sleep data according to the historical usage data. Process to obtain second sleep data; wherein the first sleep data is the user's sleep data in the first historical time period obtained by the wearable device, and the historical usage data includes the user's sleep data obtained by the electronic device in the first historical time period. The usage data of the electronic device during the first historical time period, the electronic device and the wearable device are not in a communication connection state during the first historical time period, and the second sleep data includes The total sleep duration is less than or equal to the total sleep duration included in the first sleep data.

In a third aspect, embodiments of the present application provide an electronic device. The electronic device includes a processor and a memory. The memory stores programs or instructions that can be run on the processor. The programs or instructions are processed by the processor. When the processor is executed, the steps of the method described in the first aspect are implemented.

In a fourth aspect, embodiments of the present application provide a readable storage medium. Programs or instructions are stored on the readable storage medium. When the programs or instructions are executed by a processor, the steps of the method described in the first aspect are implemented. .

In a fifth aspect, embodiments of the present application provide a chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the first aspect. the method described.

In a sixth aspect, embodiments of the present application provide a computer program product, the program product is stored in a storage medium, and the program product is executed by at least one processor to implement the method as described in the first aspect.

In a seventh aspect, embodiments of the present application provide an electronic device configured to use To implement the steps of the method of the first aspect.

In the embodiment of the present application, the historical usage data of the electronic device can be obtained; when the electronic device and the wearable device are in a communication connection state, the first sleep data sent by the wearable device is received; and the first sleep data is processed based on the historical usage data. Calibration processing to obtain second sleep data; the first sleep data is the user's sleep data in the first historical time period obtained by the wearable device, and the historical usage data includes the user's sleep data obtained by the electronic device. The usage data of the electronic device during the first historical time period, the electronic device and the wearable device are not in a communication connection state during the first historical time period, and the sleep included in the second sleep data is The total duration is less than or equal to the total sleep duration included in the first sleep data. Through this solution, on the one hand, since the first sleep data is the data obtained by the wearable device when the electronic device and the wearable device are in a non-communication connection state, the historical usage data includes data obtained by the electronic device when the electronic device and the wearable device are in a non-communication connection state. , therefore, even in a disconnection scenario between the electronic device and the wearable device, the recording of the two types of data can be achieved; on the other hand, since the first sleep data can be calibrated based on historical usage data, the second sleep data can be The total sleep duration included is less than or equal to the total sleep duration included in the first sleep data. That is to say, the duration of the user's use of the electronic device can be eliminated from the first sleep data based on the historical usage data of the electronic device. Therefore, the second sleep The accuracy of the data is higher than the accuracy of the first sleep data.

Description of the drawings

Figure 1 is one of the flow diagrams of the sleep data calibration method provided by the embodiment of the present application;

Figure 2 is the second schematic flow chart of the sleep data calibration method provided by the embodiment of the present application;

Figure 3 is the third schematic flow chart of the sleep data calibration method provided by the embodiment of the present application;

Figure 4(a) is one of the schematic diagrams of the calibration method of the sleep data calibration method provided by the embodiment of the present application;

Figure 4(b) is a second schematic diagram of the calibration method of the sleep data calibration method provided by the embodiment of the present application;

Figure 5 is a third schematic diagram of the calibration method of the sleep data calibration method provided by the embodiment of the present application;

Figure 6 is a schematic structural diagram of a sleep data calibration device provided by an embodiment of the present application;

Figure 7 is a schematic structural diagram of an electronic device provided by an embodiment of the present application;

Figure 8 is a hardware schematic diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art fall within the scope of protection of this application.

The terms "first", "second", etc. in the description and claims of this application are used to distinguish similar objects and are not used to describe a specific order or sequence. It is to be understood that the figures so used are interchangeable under appropriate circumstances so that the embodiments of the present application can be practiced in orders other than those illustrated or described herein, and that "first," "second," etc. are distinguished Objects are usually of one type, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and/or" in the description and claims indicates at least one of the connected objects, and the character "/" generally indicates that the related objects are in an "or" relationship.

The sleep data calibration method provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios.

The sleep data calibration method provided by the embodiment of the present application. The execution subject of the sleep data calibration method may be an electronic device or a functional module or functional entity in the electronic device that can implement the sleep data calibration method. The electronic device mentioned in the embodiment of the present application Including but not limited to mobile phones, tablets, computers, cameras, wearable devices, etc., the sleep data calibration method provided by the embodiment of the present application is described below by taking electronic devices as the execution subject as an example.

As shown in Figure 1, this embodiment of the present application provides a sleep data calibration method, which may include steps 101 to 103:

Step 101: The electronic device obtains historical usage data of the electronic device.

Wherein, the above historical usage data includes the user's first historical usage data obtained by the electronic device. Usage data of the electronic device during the historical time period, and the electronic device and the wearable device were not in a communication connection state during the first historical time period.

Optionally, the non-communication connection state between the electronic device and the wearable device means that two-way information communication between the electronic device and the wearable device cannot be achieved, that is, a disconnected state.

Optionally, the above-mentioned first historical time period can be the longest historical time period that the wearable device can record; it can also be a preset sleep recording period, for example, it can be 12 hours or 24 hours; it can also be input by the user. Determined time period.

Optionally, the electronic device obtains historical usage data of the electronic device, which may specifically include: obtaining operating information of the electronic device in the first historical time period, where the operating information includes at least one of the following: screen on time, receiving user input time and the running status of the foreground application; determine the historical usage data based on the running information.

Optionally, the above historical usage data may at least include information on the time the user uses the electronic device.

For example, if the electronic device is in the screen-on state during the first time period (t ₁ , t ₂ ) and receives the user's touch input during the second time period (t ₃ , t ₄ ), the foreground application of the electronic device will The third time period (t ₅ , t ₆ ) is in a continuous running state, then the electronic device can combine the first time period (t ₁ , t ₂ ), the second time period (t ₃ , t ₄ ) and the third time period ( t ₅ , t ₆ ) is determined as the time period during which the user uses the electronic device, that is, historical usage data.

Based on the above solution, since the electronic device can determine the historical usage data based on the operating information of the electronic device in the first historical time period, it can provide a basis for the electronic device to calibrate the first sleep data based on the historical usage data.

Step 102: When the electronic device and the wearable device are in a communication connection state, the electronic device receives the first sleep data sent by the wearable device.

Wherein, the above-mentioned first sleep data is the user's sleep data in the first historical time period obtained by the wearable device.

Optionally, the above-mentioned wearable device refers to a portable device that can be directly worn on the user or integrated into the user's clothes or accessories. For example, the wearable device can be a smart watch, Bracelets, electronic socks, glasses, etc.

Optionally, the communication connection state between the electronic device and the wearable device means that two-way information communication can be achieved between the electronic device and the wearable device. For example, the electronic device and the wearable device can be in a Bluetooth connection state, or they can be in the same local area network at the same time. .

Optionally, before receiving the first sleep data, the wearable device may record the sleep data while the wearable device is in a wearing state. That is to say, when the wearable device detects that it is currently being worn by the user, it can start recording the user's sleep data.

Optionally, when the user wants to view his or her sleep data, the electronic device can first be triggered to communicate with the wearable device. After that, while the user is in a communication connection state with the wearable device, the electronic device can receive the third sleep data in a preset manner. For sleep data, the preset method can be a user-triggered method or an automatic acquisition method.

For example, when the preset mode is the user-triggered mode, the user can make a first input to the electronic device when the electronic device and the wearable device are in a communication connection state, and the electronic device can respond to the first input by sending a message to the wearable device. Data request information, the wearable device can send the first sleep data to the electronic device in response to the data request information, and accordingly, the electronic device can receive the first sleep data from the wearable device; when the preset mode is the automatic acquisition mode, the electronic device The data request information can be automatically sent to the wearable device after a successful communication connection with the wearable device, or the data request information can be automatically sent to the wearable device after a preset time of successful communication connection with the wearable device, thereby making the wearable device In response to the data request information, the device sends first sleep data to the electronic device.

Step 103: The electronic device performs calibration processing on the first sleep data based on the historical usage data to obtain second sleep data.

Wherein, the total sleep duration included in the second sleep data is less than or equal to the total sleep duration included in the first sleep data.

Optionally, the above-mentioned first sleep data may include the start time and end time of the first sleep time period; the electronic device performs calibration processing on the first sleep data based on the historical usage data, which may specifically include: the electronic device performs calibration processing on the first sleep data based on the historical usage data. The first sleep period is obtained from the historical usage data Determine a first use time period set, the first use time period set includes at least one use time period, and each of the use time periods at least partially overlaps with the first sleep time period; thereafter, The electronic device may perform calibration processing on the start time, the end time of the first sleep time period, and the sleep time between the start time and the end time according to each use time period.

Specifically, as shown in Figure 2, the electronic device performs calibration processing on the first sleep data based on historical usage data to obtain the second sleep data, which may include steps 201 to 203:

Step 201: The electronic device can determine the user's first sleep time period (s ₁ , s ₂ ) based on the first sleep data.

Among them, s ₁ is the starting time and s ₂ is the ending time.

Step 202: The electronic device can determine a first usage time period set [(t ₁ , t ₂ ), (t ₃ , t ₄ ), ... (t _n-1 , t ) from historical usage data based on the first sleep time period. _n )].

Wherein, each usage time period in the first usage time period set at least partially overlaps with the first sleep time period (s ₁ , s ₂ ) in time. For example, if the first sleep time period is 22:00-7:00, then one usage time period in the first usage time period set may be 21:30-22:30.

Step 203: The electronic device can determine the start time s ₁ , end time s ₂ of the first sleep time period (s ₁ , s ₂ ) according to each use time period, and the time between the start time and the end time. The sleep time is calibrated.

Based on the above solution, since the start time, end time and intermediate sleep time period of the first sleep time period can be corrected according to each use time period in the first use time period set, historical usage data of the electronic device can be combined The sleep time obtained by the wearable device is corrected so that the sleep time period in the second sleep data is closer to the user's real sleep time period.

Optionally, the electronic device performs calibration processing on the start time, end time of the first sleep time period, and the sleep time between the start time and the end time according to each use time period. , specifically, it may include: when the first usage time period satisfies the falling asleep correction rule, updating the start time of the first sleep time period to the time end point of the first usage time period; If the time period satisfies the sleep correction rules, the The end time of the first sleep time period is updated to the time starting point of the first use time period; if the first use time period does not satisfy the falling asleep correction rule and the falling asleep correction rule, the end time is updated from the first use time period. The sleep time period corresponding to the first use time period is deleted from the first sleep time period; wherein the first use time period is any use time period in the first use time period set.

Specifically, as _shown in Figure ₃ , the start time _s1 , _end time _s2 _, And taking the calibration process of the sleep time between the start time and the end time as an example, i is any integer in (1, n-1), the above step 203 may include steps 203a to 203e:

Step 203a: The electronic device can first determine whether the first use time period ( _ti , ti ₊₁ ) meets the sleep correction rule;

Step 203b. If the falling asleep correction rule is met, the electronic device can update the starting time s ₁ to the time end point t i+ ₁ of the first use time period (t _i , t _i+1 );

Step 203c. If the falling asleep correction rule is not satisfied, the electronic device can continue to determine whether the first use time period ( _ti , t _i+1 ) satisfies the falling asleep correction rule;

Step 203d, if the sleep correction rule is satisfied, the electronic device can update the end time s ₂ to the time starting point t _i of the first use time period (t _i , ti ₊₁ ),

Step 203e. If the sleep correction rule is not satisfied, the electronic device can delete the sleep time period corresponding to the first usage time period (t _i , t _i+1 ) from the first sleep time period (s ₁ , s ₂ ), Thus, the second sleep data is obtained.

Optionally, the sleep time period in the above second sleep data can be a continuous sleep time period or a discontinuous sleep time period. For example, when the electronic device changes from the first sleep time period (s ₁ , s ₂ ) After deleting the sleep time period corresponding to the first usage time period (t _i , ti ₊₁ ), the sleep time period in the second sleep data may include (s ₁ , _ti ) and (t _i+1 , s ₂ ).

Based on the above solution, since the start time, end time and intermediate sleep time period of the first sleep time period can be corrected according to the falling asleep correction rule and the sleeping out correction rule, the sleep time period in the second sleep data can be made closer The user’s actual sleep period.

Optionally, the above-mentioned fall asleep correction rule may include at least one of the following: the starting time is between the first usage time period, the time starting point between the first usage time period and the starting time. The time difference is less than the first threshold.

For example, in the case where the fall asleep correction rule includes a start time located between the first usage time periods, referring to (a) in FIG. 4 , the first usage time period included in the first usage time period set is (t ₁ , t ₂ ) for example, if the electronic device determines that t ₁ <s ₁ <t ₂ , that is, the starting time s ₁ is between the first use time period (t ₁ , t ₂ ), the electronic device can set the starting time s 1 to Time s ₁ is updated to t ₂ . In the case where the time difference between the time starting point and the start time of the first usage time period included in the fall asleep correction rule is less than the first threshold, with reference to (b) in FIG. 4 , the first usage time period included in the first usage time period set is Taking the time period as (t ₃ , t ₄ ) as an example, if the electronic device determines that the time difference (t ₃ -s ₁ ) between the starting time t ₃ and the starting time s ₁ of the first usage time period is less than the first threshold, then The electronic device can update the starting time s ₁ to t ₄ .

Optionally, the fall asleep correction rule includes: the starting time is between the first usage time periods, and the time difference between the time starting point of the first usage time period and the starting time is less than a first threshold. In the case of , the electronic device may first determine whether the start time is between the first use time periods, and then determine whether the time difference between the time starting point of the first use time period and the start time is less than the first threshold.

Optionally, the above-mentioned sleep correction rule includes at least one of the following: the end time is located between the first use time periods, and the time difference between the time end of the first use time period and the end time is less than Second threshold.

For example, in the case where the sleep correction rule includes that the end time is between the first usage time periods, continuing to refer to (a) in FIG. 4 , the first usage time period included in the first usage time period set is ( t ₅ , t ₆ ) for example, if the electronic device determines that t ₅ <s ₂ <t ₆ , that is, the termination time s ₂ is between the first use time period (t ₅ , t ₆ ), the electronic device can set the termination time s ₂ is updated to t ₅ . In the case where the time difference between the time end point and the end time of the first usage time period included in the sleep correction rule is less than the second threshold, continue to refer to (b) in FIG. 4 to use the first usage time period set included in the first For example, the use time period is (t ₇ , t ₈ ). If the electronic device determines the first use time period, If the time difference (s ₂ -t ₈ ) between the time end point t ₈ and the end time s ₂ is less than the second threshold, the electronic device can update the end time s ₂ to t ₇ .

Optionally, the sleep correction rule includes: the termination time is between the first usage time periods, and the time difference between the time end of the first usage time period and the termination time is less than a second threshold. In this case, the electronic device may first determine whether the termination time is between the first usage time periods, and then determine whether the time difference between the time end of the first usage time period and the termination time is less than the second threshold.

The electronic device's correction of the first sleep time period according to the first use time period set will be described in detail below through a general example.

For example, as shown in Figure 5, assuming that the first sleep time period is (s ₁ , s ₂ ), the first use time period set includes a use time period (t ₁ , t ₂ ), a use time period (t ₃ , t ₄ ), use the time period (t ₅ , t ₆ ) as an example. Since the use time period (t ₁ , t ₂ ) satisfies the falling asleep correction rule, the electronic device can update the starting time s ₁ to t ₂ . Since the use time period (t ₅ , t ₆ ) satisfies the sleep correction rule, the electronic device can update the end time s ₂ to t ₅ . Since the usage time period (t ₃ , t ₄ ) neither satisfies the falling asleep correction rule nor the sleeping out correction rule, the electronic device can delete the usage time period ( (s ₁ , s _{2 ) from the first sleep time period (s 1 , s 2} ). The sleep time periods corresponding to t ₃ , t ₄ ), the sleep time periods in the finally obtained second sleep data may be (t ₂ , t ₃ ) and (t ₄ , t ₅ ).

In the embodiment of the present application, on the one hand, since the first sleep data is data obtained by the wearable device when the electronic device and the wearable device are in a non-communication connection state, the historical usage data includes the electronic device when the electronic device and the wearable device are in a non-communication connection state. Therefore, even if the electronic device and the wearable device are disconnected, the two data can be recorded; on the other hand, since the first sleep data can be calibrated based on historical usage data, the second sleep data can be recorded The total sleep duration included in the sleep data is less than or equal to the total sleep duration included in the first sleep data. That is to say, the duration of the user's use of the electronic device can be eliminated from the first sleep data based on the historical usage data of the electronic device. Therefore, The accuracy of the second sleep data is higher than the accuracy of the first sleep data.

For the sleep data calibration method provided by the embodiment of the present application, the execution subject can calibrate the sleep data. standard device. In the embodiment of the present application, the sleep data calibration method performed by the sleep data calibration device is used as an example to illustrate the sleep data calibration device provided by the embodiment of the present application.

As shown in Figure 6, the embodiment of the present application also provides a sleep data calibration device 600, which includes: an acquisition module 601, a receiving module 602, and a processing module 603; the acquisition module 601 is used to acquire historical usage data of electronic equipment; The receiving module 602 is configured to receive the first sleep data sent by the wearable device when the electronic device and the wearable device are in a communication connection state; the processing module 603 is configured to use the historical usage data according to the Perform calibration processing on the first sleep data to obtain second sleep data; wherein the first sleep data is the user's sleep data in the first historical time period obtained by the wearable device, and the historical usage data includes the The electronic device obtains the usage data of the electronic device by the user during the first historical time period, and the electronic device and the wearable device are not in a communication connection state during the first historical time period, The total sleep duration included in the second sleep data is less than or equal to the total sleep duration included in the first sleep data.

Optionally, the first sleep data includes the start time and end time of the first sleep time period; the processing module 603 is specifically configured to: determine the first sleep time period from the historical usage data according to the first sleep time period. A set of use time periods, the first set of use time periods includes at least one use time period, and each use time period at least partially overlaps with the first sleep time period; according to each use time period respectively The time period performs calibration processing on the start time, end time of the first sleep time period, and the sleep time between the start time and the end time.

Optionally, the processing module 603 is specifically configured to: update the starting time of the first sleep time period to the first use time period when the first use time period satisfies the falling asleep correction rule. Time end point; when the first use time period satisfies the sleep correction rule, update the end time of the first sleep time period to the time starting point of the first use time period; in the first use time period If the time period does not satisfy the falling asleep correction rule and the sleeping out correction rule, delete the sleep time period corresponding to the first use time period from the first sleep time period; wherein, the first use time period The time period is any one of the first use time period sets. Use time period.

Optionally, the fall asleep correction rule includes at least one of the following: the starting time is between the first usage time period, the time starting point of the first usage time period and the starting time. The time difference is less than the first threshold; the sleep correction rule includes at least one of the following: the end time is between the first use time period, and the time end point of the first use time period is between the end time and the end time. The time difference is less than the second threshold.

Optionally, the acquisition module 601 is also used to acquire the operation information of the electronic device in the first historical time period. The operation information includes at least one of the following: screen turning time, user input receiving time and foreground time. The running status of the application; the processing module 603 is also used to determine the historical usage data according to the running information.

The sleep data calibration device in the embodiment of the present application may be an electronic device or a component in the electronic device, such as an integrated circuit or chip. The electronic device may be a terminal or other devices other than the terminal. For example, the electronic device may be a mobile phone, a tablet computer, a notebook computer, a handheld computer, a vehicle-mounted electronic device, a mobile Internet device (MID), or augmented reality (AR)/virtual reality (VR). ) equipment, robots, wearable devices, ultra-mobile personal computers (UMPC), netbooks or personal digital assistants (PDA), etc., and can also be servers, network attached storage (Network Attached Storage, NAS), personal computer (PC), television (TV), teller machine or self-service machine, etc., the embodiments of this application are not specifically limited.

The sleep data calibration device in the embodiment of the present application may be a device with an operating system. The operating system can be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiments of this application.

The sleep data calibration device provided by the embodiment of the present application can implement various processes implemented by the method embodiments of Figures 1 to 5. To avoid repetition, they will not be described again here.

Optionally, as shown in Figure 7, this embodiment of the present application also provides an electronic device 700, including a processor 701 and a memory 702. The memory 702 stores programs or instructions that can be run on the processor 701. When the program or instruction is executed by the processor 701, each step of the above sleep data calibration method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, the details will not be described here.

It should be noted that the electronic devices in the embodiments of the present application include the above-mentioned mobile electronic devices and non-mobile electronic devices.

FIG. 8 is a schematic diagram of the hardware structure of an electronic device implementing an embodiment of the present application.

The electronic device 1000 includes but is not limited to: radio frequency unit 1001, network module 1002, audio output unit 1003, input unit 1004, sensor 1005, display unit 1006, user input unit 1007, interface unit 1008, memory 1009, processor 1010, etc. part.

Those skilled in the art can understand that the electronic device 1000 may also include a power supply (such as a battery) that supplies power to various components. The power supply may be logically connected to the processor 1010 through a power management system, thereby managing charging, discharging, and function through the power management system. Consumption management and other functions. The structure of the electronic device shown in Figure 8 does not constitute a limitation on the electronic device. The electronic device may include more or less components than shown in the figure, or combine certain components, or arrange different components, which will not be described again here. .

Among them, sensor 1005 is used to obtain historical usage data of electronic equipment.

Radio frequency unit 1001, configured to receive the first sleep data sent by the wearable device when the electronic device and the wearable device are in a communication connection state;

Processor 1010, configured to calibrate the first sleep data according to the historical usage data to obtain second sleep data; wherein the first sleep data is the user's time at the first historical time obtained by the wearable device. period of sleep data, the historical usage data includes usage data of the electronic device by the user in the first historical time period obtained by the electronic device, and the electronic device and the wearable device are in the first historical time period. The communication connection state is not in the first historical time period, and the total sleep duration included in the second sleep data is less than or equal to the total sleep duration included in the first sleep data.

Optionally, the first sleep data includes the start time and end time of the first sleep time period; the processor 1010 is specifically configured to: determine the first usage time from the historical usage data according to the first sleep time period. Segment set, the first use time period set includes at least one use time period, and each use time period at least partially overlaps with the first sleep time period; according to each use time period respectively Calibration processing is performed on the start time, end time of the first sleep time period, and the sleep time between the start time and the end time.

In the embodiment of the present application, since the start time, end time and intermediate sleep time period of the first sleep time period can be corrected according to each use time period in the first use time period set, it can be combined with the electronic device's The historical usage data corrects the sleep time obtained by the wearable device, so that the sleep time period in the second sleep data is closer to the user's real sleep time. interval.

Optionally, the processor 1010 is specifically configured to: update the start time of the first sleep time period to the time end point of the first use time period when the first usage time period satisfies the falling asleep correction rule. ; When the first use time period satisfies the sleep correction rule, update the end time of the first sleep time period to the time starting point of the first use time period; in the first use time period If the falling asleep correction rule and the falling asleep correction rule are not satisfied, the sleep time period corresponding to the first use time period is deleted from the first sleep time period; wherein, the first use time period It is any usage time period in the first usage time period set.

In the embodiment of the present application, since the start time, end time and middle sleep time period of the first sleep time period can be corrected according to the sleep time correction rule and the sleep time correction rule, the sleep time in the second sleep data can be corrected. The period is closer to the user's real sleep time period.

Optionally, the sensor 1005 is also used to obtain the operating information of the electronic device in the first historical time period. The operating information includes at least one of the following: screen turning time, user input receiving time, and running of foreground applications. Status; Processor 1010 is also configured to determine the historical usage data according to the running information.

In this embodiment of the present application, since the electronic device can determine the historical usage data based on the operating information of the electronic device in the first historical time period, a basis can be provided for the electronic device to calibrate the first sleep data based on the historical usage data.

It should be understood that in the embodiment of the present application, the input unit 1004 may include a graphics processor (Graphics Processing Unit, GPU) 10041 and a microphone 10042. The graphics processor 10041 is responsible for the image capture device (GPU) in the video capture mode or the image capture mode. Process the image data of still pictures or videos obtained by cameras (such as cameras). The display unit 1006 may include a display panel 10061, which may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 1007 includes at least one of a touch panel 10071 and other input devices 10072 . Touch panel 10071, also known as touch screen. The touch panel 10071 may include two parts: a touch detection device and a touch controller. Other input devices 10072 may include but are not It is limited to physical keyboards, function keys (such as volume control buttons, switch buttons, etc.), trackballs, mice, and joysticks, so I won’t go into details here.

Memory 1009 may be used to store software programs as well as various data. The memory 1009 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instructions required for at least one function (such as a sound playback function, Image playback function, etc.) etc. Additionally, memory 1009 may include volatile memory or nonvolatile memory, or memory 1009 may include both volatile and nonvolatile memory. Among them, non-volatile memory can be read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electrically removable memory. Erase programmable read-only memory (Electrically EPROM, EEPROM) or flash memory. Volatile memory can be random access memory (Random Access Memory, RAM), static random access memory (Static RAM, SRAM), dynamic random access memory (Dynamic RAM, DRAM), synchronous dynamic random access memory (Synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (Double Data Rate SDRAM, DDRSDRAM), enhanced synchronous dynamic random access memory (Enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (Synch link DRAM) , SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DRRAM). The memory 1009 in the embodiment of the present application includes, but is not limited to, these and any other suitable types of memory.

The processor 1010 may include one or more processing units; optionally, the processor 1010 integrates an application processor and a modem processor, where the application processor mainly handles operations related to the operating system, user interface, application programs, etc., Modem processors mainly process wireless communication signals, such as baseband processors. It can be understood that the above modem processor may not be integrated into the processor 1010.

Embodiments of the present application also provide a readable storage medium. Programs or instructions are stored on the readable storage medium. When the program or instructions are executed by a processor, each process of the sleep data calibration method embodiment is implemented, and can achieve The same technical effects are not repeated here to avoid repetition.

Wherein, the processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes computer readable storage media, such as computer read-only memory ROM, random access memory RAM, magnetic disk or optical disk, etc.

An embodiment of the present application further provides a chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the above sleep data calibration method embodiment. Each process can achieve the same technical effect. To avoid repetition, we will not go into details here.

It should be understood that the chips mentioned in the embodiments of this application may also be called system-on-chip, system-on-a-chip, system-on-a-chip or system-on-chip, etc.

Embodiments of the present application provide a computer program product. The program product is stored in a storage medium. The program product is executed by at least one processor to implement each process of the above sleep data calibration method embodiment, and can achieve the same technology. The effect will not be described here to avoid repetition.

The embodiment of the present application also provides an electronic device. The electronic device is configured to implement each process of the above method embodiment and can achieve the same technical effect. To avoid duplication, the details will not be described here.

It should be noted that, in this document, the terms "comprising", "comprises" or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or device that includes a series of elements not only includes those elements, It also includes other elements not expressly listed or inherent in the process, method, article or apparatus. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article or apparatus that includes that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, but may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions may be performed, for example, the methods described may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better. implementation. Based on this understanding, the technical solution of the present application can be embodied in the form of a computer software product that is essentially or contributes to related technologies. The computer software product is stored in a storage medium (such as ROM/RAM, disk, CD), including several instructions to cause a terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in various embodiments of this application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above-mentioned specific implementations. The above-mentioned specific implementations are only illustrative and not restrictive. Those of ordinary skill in the art will Inspired by this application, many forms can be made without departing from the purpose of this application and the scope protected by the claims, all of which fall within the protection of this application.

Claims

A method for calibrating sleep data, including:

Obtain historical usage data of electronic devices;

When the electronic device and the wearable device are in a communication connection state, receive the first sleep data sent by the wearable device;

Perform calibration processing on the first sleep data according to the historical usage data to obtain second sleep data;

Wherein, the first sleep data is the user's sleep data in the first historical time period obtained by the wearable device, and the historical usage data includes the user's sleep data in the first historical time period obtained by the electronic device. For the usage data of the electronic device, the electronic device and the wearable device are not in a communication connection state within the first historical time period, and the total sleep duration included in the second sleep data is less than or equal to the The total sleep duration included in the first sleep data.
The sleep data calibration method according to claim 1, wherein the first sleep data includes a start time and an end time of a first sleep time period; and the first sleep data is calculated based on the historical usage data. Calibration processing, including:

A first set of usage time periods is determined from the historical usage data according to the first sleep time period, the first set of usage time periods includes at least one usage time period, and each of the usage time periods is related to the There is at least partial overlap in time between the first sleep periods;

Calibration processing is performed on the start time, the end time of the first sleep time period, and the sleep time between the start time and the end time respectively according to each use time period.
The sleep data calibration method according to claim 2, wherein the start time, end time, and start time of the first sleep time period and the start time and the first sleep time period are determined according to each use time period. The sleep time between termination times is calibrated, including:

When the first usage time period satisfies the falling asleep correction rule, update the start time of the first sleep time period to the time end point of the first usage time period;

When the first usage time period satisfies the sleep correction rule, the first sleep period is The end time of the time period is updated to the time starting point of the first usage time period;

If the first use time period does not satisfy the falling asleep correction rule and the sleep out correction rule, delete the sleep time period corresponding to the first use time period from the first sleep time period;

Wherein, the first usage time period is any usage time period in the first usage time period set.
The sleep data calibration method according to claim 3, wherein the falling asleep correction rule includes at least one of the following: the starting time is between the first use time period, the time of the first use time period The time difference between the starting point and the starting time is less than the first threshold;

The sleep correction rule includes at least one of the following: the end time is located between the first use time periods, and the time difference between the time end of the first use time period and the end time is less than a second threshold .
The sleep data calibration method according to any one of claims 1 to 4, wherein said obtaining historical usage data of electronic devices includes:

Obtain the operating information of the electronic device in the first historical time period, where the operating information includes at least one of the following: screen turning time, user input receiving time, and the operating status of the foreground application;

The historical usage data is determined based on the operational information.
A sleep data calibration device, including: an acquisition module, a receiving module and a processing module;

The acquisition module is used to acquire historical usage data of electronic equipment;

The receiving module is configured to receive the first sleep data sent by the wearable device when the electronic device and the wearable device are in a communication connection state;

The processing module is configured to perform calibration processing on the first sleep data based on the historical usage data to obtain second sleep data;

Wherein, the first sleep data is the user's sleep data in the first historical time period obtained by the wearable device, and the historical usage data includes the user's sleep data in the first historical time period obtained by the electronic device. Usage data of the electronic device, the electronic device and the wearer The wearable device is not in a communication connection state within the first historical time period, and the total sleep duration included in the second sleep data is less than or equal to the total sleep duration included in the first sleep data.
The sleep data calibration device according to claim 6, wherein the first sleep data includes the start time and end time of the first sleep time period; the processing module is specifically used to:

A first set of usage time periods is determined from the historical usage data according to the first sleep time period, the first set of usage time periods includes at least one usage time period, and each of the usage time periods is related to the There is at least partial overlap in time between the first sleep periods;

Calibration processing is performed on the start time, the end time of the first sleep time period, and the sleep time between the start time and the end time respectively according to each use time period.
The sleep data calibration device according to claim 7, wherein the processing module is specifically used for:

When the first usage time period satisfies the falling asleep correction rule, update the start time of the first sleep time period to the time end point of the first usage time period;

When the first use time period satisfies the sleep correction rule, update the end time of the first sleep time period to the time starting point of the first use time period;

If the first use time period does not satisfy the falling asleep correction rule and the sleep out correction rule, delete the sleep time period corresponding to the first use time period from the first sleep time period;

Wherein, the first usage time period is any usage time period in the first usage time period set.
The sleep data calibration device according to claim 8, wherein the falling asleep correction rule includes at least one of the following: the starting time is between the first use time period, the time of the first use time period The time difference between the starting point and the starting time is less than the first threshold;

The sleep correction rule includes at least one of the following: the end time is located between the first use time periods, and the time difference between the time end of the first use time period and the end time is less than a second threshold .
The sleep data calibration device according to any one of claims 6-9, wherein,

The acquisition module is also used to acquire the operation information of the electronic device in the first historical time period. The operation information includes at least one of the following: screen-on time, user input time, and the operation status of the foreground application;

The processing module is also configured to determine the historical usage data based on the operating information.
An electronic device, including a processor and a memory. The memory stores programs or instructions that can be run on the processor. When the program or instructions are executed by the processor, the implementation of any one of claims 1-5 is achieved. The sleep data calibration method.
A readable storage medium on which programs or instructions are stored. When the programs or instructions are executed by a processor, the sleep data calibration method according to any one of claims 1 to 5 is implemented.
A chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement sleep data according to any one of claims 1-5. Calibration method.
A computer program product, which is executed by at least one processor to implement the sleep data calibration method according to any one of claims 1-5.
An electronic device configured to perform the sleep data calibration method according to any one of claims 1-5.