CN114974495A - Sleep data calibration method and electronic equipment - Google Patents

Abstract

The application discloses a sleep data calibration method and electronic equipment, and belongs to the technical field of electronics. The specific scheme comprises the following steps: acquiring historical use data of the electronic equipment; under the condition that the electronic equipment and the wearable equipment are in a communication connection state, receiving first sleep data sent by the wearable equipment; calibrating the first sleep data according to the historical use data to obtain second sleep data; the first sleep data is sleep data of a user in a first historical time period, the sleep data is acquired by the wearable device, the historical use data comprises use data of the user on the electronic device in the first historical time period, the use data is acquired by the electronic device, the electronic device and the wearable device are not in a communication connection state in the first historical time period, and total sleep duration included in the second sleep data is smaller than or equal to total sleep duration included in the first sleep data.

Description

Sleep data calibration method and electronic device

technical field

The present application belongs to the field of electronic technology, and in particular 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 getting closer to people's lives. For example, people can monitor their sleep status by wearing wearable devices.

In the related art, 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 when the user uses the electronic device as sleep. Therefore, the sleep data obtained by the sleep monitoring method in the related art has a low accuracy.

SUMMARY OF THE INVENTION

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

In a first aspect, an embodiment of the present application provides a method for calibrating sleep data. The method includes: acquiring historical usage data of an electronic device; and receiving the wearable device when the electronic device is in a communication connection state with a wearable device. The first sleep data sent; the first sleep data is calibrated according to the historical usage data, and the second sleep data is obtained; wherein, the first sleep data is obtained by the wearable device in the first history of the user Sleep data of a time period, the historical usage data includes usage data of the electronic device acquired by the electronic device by the user in the first historical time period, where the electronic device and the wearable device are located at the same location. 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.

In a second aspect, an embodiment of the present application provides a sleep data calibration device, including: an acquisition module, a receiving module, and a processing module; the acquisition module is used for acquiring historical usage data of an electronic device; the receiving module is used for When the electronic device and the wearable device are in a communication connection state, receive 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 sleep data of the user 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 in the first historical time period, the electronic device and the wearable device are not in a communication connection state in 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, an embodiment of the present application provides an electronic device, the electronic device includes a processor and a memory, the memory stores a program or an instruction that can be executed on the processor, and the program or instruction is processed by the processor The steps of the method as described in the first aspect are implemented when the device is executed.

In a fourth aspect, an embodiment of the present application provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor, the steps of the method according to the first aspect are implemented .

In a fifth aspect, an embodiment of the present application provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to run a program or an instruction, and implement the first aspect the method described.

In a sixth aspect, an embodiment of the present application provides a computer program product, where the program product is stored in a storage medium, and the program product is executed by at least one processor to implement the method according to the first aspect.

In the embodiment of the present application, the historical usage data of the electronic device can be acquired; 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; the first sleep data is processed according to the historical usage data. The calibration process is performed to obtain second sleep data; the first sleep data is the sleep data of the user 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 in the first historical time period, the electronic device and the wearable device are not in a communication connection state in the first historical time period, the sleep data included in the second sleep data 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 the data obtained by the electronic device when the electronic device and the wearable device are in a non-communication connection state , therefore, even in the disconnection scene between the electronic device and the wearable device, two kinds of data can be recorded; on the other hand, since the first sleep data can be calibrated according to the 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, the duration of the user's use of the electronic device can be excluded from the first sleep data according to the historical usage data of the electronic device. Therefore, the second sleep time The accuracy of the data is higher than the accuracy of the first sleep data.

Description of drawings

FIG. 1 is one of the schematic flowcharts of the sleep data calibration method provided by the embodiment of the present application;

2 is a second schematic flowchart of a sleep data calibration method provided by an embodiment of the present application;

3 is a third schematic flowchart of a sleep data calibration method provided by an embodiment of the present application;

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

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

Fig. 5 is the third schematic diagram of the calibration mode of the sleep data calibration method provided by the embodiment of the present application;

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

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

FIG. 8 is a schematic diagram of hardware 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 protection scope of this application.

The terms "first", "second" and the like in the description and claims of the present 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 data so used are interchangeable under appropriate circumstances so that the embodiments of the present application can be practiced in sequences other than those illustrated or described herein, and distinguish between "first", "second", etc. The objects are usually of one type, and the number of objects is not limited. For example, the first object may be one or more than one. In addition, "and/or" in the description and claims indicates at least one of the connected objects, and the character "/" generally indicates that the associated 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 through specific embodiments and application scenarios with reference to the accompanying drawings.

In the sleep data calibration method provided by the embodiments 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 capable of implementing the sleep data calibration method in the electronic device. The electronic device mentioned in the embodiments of the present application Including but not limited to mobile phones, tablet computers, computers, cameras, wearable devices, etc. The following describes the sleep data calibration method provided by the embodiment of the present application by taking an electronic device as an execution subject as an example.

As shown in FIG. 1 , an embodiment of the present application provides a sleep data calibration method, and the method may include steps 101 to 103:

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

Wherein, the above-mentioned historical usage data includes usage data of the electronic device acquired by the electronic device by the user within a first historical time period, and the electronic device and the wearable device are within the first historical time period Not in a communication connection state.

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

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

Optionally, acquiring the historical usage data of the electronic device by the electronic device may specifically include: acquiring operation information of the electronic device in the first historical time period, where the operation information includes at least one of the following: screen-on time, receiving user input The time and the running state of the foreground application; the historical usage data is determined according to the running information.

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

Exemplarily, if the electronic device is in the bright-screen state during the first time period (t ₁ , t ₂ ), and the user's touch input is received during the second time period (t ₃ , t ₄ ), the foreground application of the electronic device is in the The third time period (t ₅ , t ₆ ) is in the continuous running state, then the electronic device can use 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 ) are 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 historical usage data according to the operation information of the electronic device in the first historical time period, it can provide a basis for the electronic device to perform calibration processing on the first sleep data according to 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.

The above-mentioned first sleep data is the user's sleep data in a first historical time period acquired 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 may be a smart watch, a bracelet, electronic socks, glasses, and the like.

Optionally, the fact that the electronic device and the wearable device are in a communication connection state 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 can be in the same local area network at the same time. .

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

Optionally, when the user wants to view his sleep data, he can first trigger the electronic device to communicate with the wearable device, and then, when the user is in a communication connection with the wearable device, the electronic device can receive the first A sleep data, the preset mode can be a user-triggered mode or an automatic acquisition mode.

For example, when the preset mode is the user-triggered mode, the user can perform a first input on 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 and send 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 After successfully communicating with the wearable device, the data request information can be automatically sent to the wearable device, or, after a preset time of successful communication connection with the wearable device, the data request information can be automatically sent to the wearable device, so that the wearable device can be automatically sent to the wearable device. The device sends first sleep data to the electronic device in response to the data request information.

Step 103: The electronic device performs calibration processing on the first sleep data according to 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 a start time and an end time of the first sleep period; the electronic device performs calibration processing on the first sleep data according to the historical usage data, which may specifically include: the electronic device according to The first sleep period determines a first set of use periods from the historical usage data, the first set of use periods includes at least one use period, and each of the use periods is associated with the first sleep period The time periods are at least partially overlapped in time; after that, the electronic device can adjust the start time, end time, and the difference between the start time and the end time of the first sleep time period according to each use time period respectively. The sleep time in between is calibrated.

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

Step 201: The electronic device may determine the first sleep time period (s ₁ , s ₂ ) of the user according to the first sleep data.

Among them, s ₁ is the start time, and s ₂ is the end time.

Step 202: The electronic device may determine the first set of use time periods from the historical usage data according to the first sleep time period [(t ₁ , t ₂ ), (t ₃ , t ₄ ), ... (t _n-1 , t _n )].

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

Step 203: The electronic device can set the start time s ₁ , the end time s ₂ , and the interval between the start time and the end time of the first sleep time period (s ₁ , s ₂ ) according to each use time period 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 acquired 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, the end time, and the sleep time between the start time and the end time of the first sleep time period according to each use time period respectively. , which may specifically include: updating the start time of the first sleep time period to the time end point of the first use time period under the condition that the first use time period satisfies the sleep-onset correction rule; If the time period satisfies the falling asleep correction rule, update the end time of the first sleeping period to the time starting point of the first use period; if the first use period does not satisfy the falling asleep correction rule and the fall-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 is the first use time Any one of the segment set uses a time segment.

Specifically, as shown in FIG. 3 , according to the first usage time period (t _i , t _{i+1 ), the start time s 1 ,} the end time s ₂ , the end time s ₂ , Taking the calibration process for the sleep time between the start time and the end time as an example, i is any integer in (1, n-1), and the above step 203 may include steps 203a-203e:

Step 203a, the electronic device may first determine whether the first use time period (t _i , t _i+1 ) satisfies the sleep-onset correction rule;

Step 203b: If the sleep-onset correction rule is satisfied, the electronic device can update the start 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 judge whether the first use time period (t _i , t _i+1 ) satisfies the falling asleep correction rule;

Step 203d: If the fall-to-sleep correction rule is satisfied, the electronic device can update the termination time s ₂ to the time starting point t _i of the first use time period (t _i , t _i+1 ),

Step 203e: If the fall-to-sleep correction rule is not satisfied, the electronic device may delete the sleep time period corresponding to the first use 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 period in the second sleep data may be a continuous sleep period or a discontinuous sleep period, for example, when the electronic device changes from the first sleep period (s ₁ , s ₂ ) After deleting the sleep time period corresponding to the first use time period (t _i , t _i+1 ) in the data, the sleep time period in the second sleep data may include (s ₁ , t _i ) 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 period can be corrected according to the sleep-onset correction rule and the sleep-off correction rule, the sleep periods in the second sleep data can be made closer to each other. The user's real sleep period.

Optionally, the above-mentioned sleep-onset correction rule may include at least one of the following: the start time is between the first use time periods, and the time between the time start point of the first use time period and the start time. The time difference is less than the first threshold.

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

Optionally, the sleep-onset correction rule includes: the start time is between the first use time periods, and the time difference between the time start point of the first use time period and the start 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 start point of the first use time period and the start time is less than a first threshold.

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

Exemplarily, in the case where the falling asleep correction rule includes that the termination time is between the first use time periods, continue to refer to (a) in FIG. 4 , the first use time period included in the first use time period set is ( Take t ₅ , t ₆ ) as an 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 that the time difference between the time end point and the termination time of the first use time period is included in the sleep-absence correction rule is less than the second threshold, continue referring to (b) in FIG. The use time period is (t ₇ , t ₈ ) as an example, if the electronic device determines that the time difference (s ₂ -t ₈ ) between the time end point t ₈ of the first use time period and the termination time s ₂ is less than the second threshold, then The electronic device may update the termination time s ₂ to t ₇ .

Optionally, the correction rule for falling asleep includes: the termination time is located between the first use time periods, and the time difference between the time end point of the first use 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 use time periods, and then determine whether the time difference between the time end point of the first use time period and the termination time is less than a second threshold.

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

Exemplarily, as shown in FIG. 5 , taking the first sleep time period as (s ₁ , s ₂ ), the first set of use time periods includes the use time period (t ₁ , t ₂ ), the use time period (t ₃ , t ₄ ), using the time period (t ₅ , t ₆ ) as an example. Since the use time period (t ₁ , t ₂ ) satisfies the sleep-onset correction rule, the electronic device can update the start time s ₁ to t ₂ . Since the use time period (t ₅ , t ₆ ) satisfies the sleep-out correction rule, the electronic device can update the termination time s ₂ to t ₅ . Since the use time period ( _{t 3} , t ₄ ) neither satisfies the sleep _- onset correction rule nor the sleep-out correction rule, the electronic device may delete the use time period ( t ₃ , t ₄ ) corresponding sleep time periods, the sleep time periods in the finally obtained second sleep data may be (t ₂ , t ₃ ) and (t ₄ , t ₅ ).

In the embodiments 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 in the disconnected scene between the electronic device and the wearable device, two kinds of data can be recorded; on the other hand, since the first sleep data can be calibrated according to the historical usage data, the second 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, the duration of the user's use of the electronic device can be excluded from the first sleep data according to the historical usage data of the electronic device. Therefore, The accuracy rate of the second sleep data is higher than that of the first sleep data.

In the sleep data calibration method provided by the embodiment of the present application, the execution subject may be a sleep data calibration device. In the embodiment of the present application, the sleep data calibration method provided by the embodiment of the present application is described by taking the sleep data calibration method performed by the sleep data calibration device as an example.

As shown in FIG. 6 , an embodiment of the present application further provides a sleep data calibration apparatus 600, including: 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 an electronic device; 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 obtained by the wearable device in a first historical time period, and the historical usage data includes all the usage data of the user on the electronic device in the first historical time period obtained by the electronic device, and the electronic device and the wearable device are not in a communication connection state in 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 a start time and an end time of the first sleep period; the processing module 603 is specifically configured to: determine the first sleep period from the historical usage data according to the first sleep period a set of use time periods, the first set of use time periods includes at least one use time period, and each of the use time periods at least partially overlaps with the first sleep time period; The time period performs calibration processing on the start time, the end time, and the sleep time between the start time and the end time of the first sleep time period.

Optionally, the processing module 603 is specifically configured to: update the start time of the first sleep time period to the first use time period when the first use time period satisfies the sleep-onset correction rule Time end point; in the case that the first use time period satisfies the falling asleep correction rule, update the end time of the first sleep time period to the time start point of the first use time period; in the first use time period In the case that the time period does not satisfy the falling asleep correction rule and the falling asleep 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 use time period in the first set of use time periods.

Optionally, the sleep onset correction rule includes at least one of the following: the start time is between the first use time periods, and the time start point of the first use time period is between the start time. The time difference is less than a first threshold; the falling asleep correction rule includes at least one of the following: the termination time is located between the first use time periods, and the time end point of the first use time period is between the termination time The time difference is less than the second threshold.

Optionally, the obtaining module 601 is further configured to obtain operation information of the electronic device in the first historical time period, where the operation information includes at least one of the following: screen-on time, user input time, and foreground the running state of the application; the processing module 603 is further configured to determine the historical usage data according to the running information.

In the embodiments 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 in the disconnected scene between the electronic device and the wearable device, two kinds of data can be recorded; on the other hand, since the first sleep data can be calibrated according to the historical usage data, the second 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, the duration of the user's use of the electronic device can be excluded from the first sleep data according to the historical usage data of the electronic device. Therefore, The accuracy rate of the second sleep data is higher than that of the first sleep data.

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

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

The sleep data calibration apparatus provided in this embodiment of the present application can implement each process implemented by the method embodiments in FIG. 1 to FIG. 5 , and to avoid repetition, details are not repeated here.

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

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

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

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

Those skilled in the art can understand that the electronic device 1000 may also include a power source (such as a battery) for supplying power to various components, and the power source may be logically connected to the processor 1010 through a power management system, so that the power management system can manage charging, discharging, and power functions. consumption management and other functions. The structure of the electronic device shown in FIG. 8 does not constitute a limitation on the electronic device. The electronic device may include more or less components than the one shown, or combine some components, or arrange different components, which will not be repeated here. .

The sensor 1005 is used to acquire historical usage data of the electronic device.

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

The processor 1010 is configured to 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 obtained by the wearable device at the first historical time of the user sleep data of a period of time, the historical usage data includes usage data of the electronic device acquired by the electronic device by the user in the first historical time period, and the electronic device and the wearable device are in the 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.

In the embodiments 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 in the disconnected scene between the electronic device and the wearable device, two kinds of data can be recorded; on the other hand, since the first sleep data can be calibrated according to the historical usage data, the second 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, the duration of the user's use of the electronic device can be excluded from the first sleep data according to the historical usage data of the electronic device. Therefore, The accuracy rate of the second sleep data is higher than that of the first sleep data.

Optionally, the first sleep data includes a start time and an end time of the first sleep time period; the processor 1010 is specifically configured to: determine the first use time from the historical use data according to the first sleep time period a set of segments, the first set of use time segments includes at least one use time segment, and each of the use time segments at least partially overlaps with the first sleep time segment; A calibration process is performed on a start time, an end time, and a sleep time between the start time and the end time of the first sleep period.

In this 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, the The historical usage data is used to correct the sleep time acquired by the wearable device, so that the sleep time period in the second sleep data is closer to the user's real sleep time period.

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 under the condition that the first use time period satisfies the sleep-onset correction rule ; Under the condition that the first use time period satisfies the falling asleep correction rule, update the termination time of the first sleep time period to the time starting point of the first use time period; in the first use time period In the case where the falling asleep correction rule and the falling asleep correction rule are not satisfied, delete the sleep time period corresponding to the first use time period from the first sleep time period; wherein, the first use time period It is any one use time period in the first set of use time periods.

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

Optionally, the sensor 1005 is further configured to acquire operation information of the electronic device in the first historical time period, where the operation information includes at least one of the following: screen-on time, time of receiving user input, and operation of foreground applications The processor 1010 is further 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 according to the operation information of the electronic device in the first historical time period, it can provide a basis for the electronic device to perform calibration processing on the first sleep data according to the historical usage data.

It should be understood that, in this embodiment of the present application, the input unit 1004 may include a graphics processor (Graphics Processing Unit, GPU) 10041 and a microphone 10042. camera) to process the image data of still pictures or videos. 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 . The touch panel 10071 is also called a 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 limited to, physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be repeated here.

The 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. Further, memory 1009 may include volatile memory or non-volatile memory, or memory 1009 may include both volatile and non-volatile memory. Wherein, the non-volatile memory may be Read-Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (Erasable PROM, EPROM), 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 random access memory) 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 this 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, wherein the application processor mainly processes operations involving an operating system, a user interface, and an application program, etc. Modem processors mainly deal with wireless communication signals, such as baseband processors. It can be understood that, the above-mentioned modulation and demodulation processor may not be integrated into the processor 1010.

Embodiments of the present application further provide a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor, each process of the above-mentioned embodiment of the sleep data calibration method is implemented, and can achieve The same technical effect, in order to avoid repetition, will not be repeated here.

Wherein, the processor is the processor in the electronic device described in the foregoing embodiments. The readable storage medium includes a computer-readable storage medium, such as computer read-only memory ROM, random access memory RAM, magnetic disk or optical disk, and the like.

An embodiment of the present application further provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to run a program or an instruction to implement the above embodiment of the sleep data calibration method and can achieve the same technical effect, in order to avoid repetition, it will not be repeated here.

It should be understood that the chip mentioned in the embodiments of the present application may also be referred to as a system-on-chip, a system-on-chip, a system-on-a-chip, or a system-on-a-chip, or the like.

The 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 various processes in the above-mentioned embodiments of the sleep data calibration method, and can achieve the same technology The effect, in order to avoid repetition, is not repeated here.

It should be noted that, herein, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements, It also includes other elements not expressly listed or inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in a process, method, article or apparatus that includes the element. Furthermore, it should be noted that the scope of the methods and apparatus in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in the reverse order depending on the functions involved. To perform functions, for example, the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to some examples may be combined in other examples.

From the description of the above embodiments, those skilled in the art can clearly understand that the method of the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is better implementation. Based on this understanding, the technical solutions of the present application can be embodied in the form of computer software products that are essentially or contribute to related technologies, and the computer software products are stored in a storage medium (such as ROM/RAM, magnetic disk, CD-ROM), including several instructions to make a terminal (which may be a mobile phone, a computer, a server, or a network device, etc.) execute the methods described in the various embodiments of this application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific embodiments, which are merely illustrative rather than restrictive. Under the inspiration of this application, without departing from the scope of protection of the purpose of this application and the claims, many forms can be made, which all fall within the protection of this application.

Claims (11)

1. A method of sleep data calibration, comprising:

acquiring historical use data of the electronic equipment;

under the condition that the electronic equipment and the wearable equipment are in a communication connection state, receiving first sleep data sent by the wearable equipment;

calibrating the first sleep data according to the historical use data to obtain second sleep data;

the first sleep data are sleep data of a user in a first historical time period, which are acquired by the wearable device, the historical use data comprise use data of the user on the electronic device in the first historical time period, which are acquired by the electronic device, the electronic device and the wearable device are not in a communication connection state 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.

2. The sleep data calibration method as claimed in claim 1, wherein the first sleep data includes a start time and an end time of a first sleep period; the calibrating the first sleep data according to the historical usage data includes:

determining a first set of usage periods from the historical usage data as a function of the first sleep period, the first set of usage periods including at least one usage period, and each of the usage periods being at least partially coincident in time with the first sleep period;

and respectively carrying out calibration processing on the starting time and the ending time of the first sleep time period and the sleep time between the starting time and the ending time according to each use time period.

3. The sleep data calibration method as claimed in claim 2, wherein the calibration processing of the start time, the end time, and the sleep time between the start time and the end time of the first sleep period according to the each usage period respectively comprises:

updating a start time of a first sleep period to a time end of the first use period if the first use period satisfies a sleep onset correction rule;

updating an end time of the first sleep period to a time start of the first use period if the first use period satisfies a sleep out correction rule;

deleting the sleep time period corresponding to the first usage time period from the first sleep time period when the first usage time period does not satisfy the sleep-in correction rule and the sleep-out correction rule;

wherein the first usage period is any one of the first set of usage periods.

4. The sleep data calibration method as claimed in claim 3, wherein the fall asleep correction rules comprise at least one of: the starting time is positioned between the first using time periods, and the time difference between the time starting point of the first using time period and the starting time is smaller than a first threshold value;

the out-of-sleep correction rules include at least one of: the termination time is located between the first periods of use, and the time difference between the end of time of the first periods of use and the termination time is less than a second threshold.

5. The sleep data calibration method as claimed in any one of claims 1 to 4, wherein the obtaining of historical usage data of the electronic device comprises:

acquiring operation information of the electronic equipment in the first historical time period, wherein the operation information comprises at least one of the following items: the method comprises the steps of displaying on the screen for a time, receiving user input time and the running state of foreground application;

and determining the historical use data according to the operation information.

6. A sleep data calibration apparatus, comprising: the device comprises an acquisition module, a receiving module and a processing module;

the acquisition module is used for acquiring historical use data of the electronic equipment;

the receiving module is used for receiving first sleep data sent by the wearable device under the condition that the electronic device and the wearable device are in a communication connection state;

the processing module is used for calibrating the first sleep data according to the historical use data to obtain second sleep data;

the first sleep data is sleep data of a user in a first historical time period, the sleep data is acquired by the wearable device, the historical use data comprises use data of the user on the electronic device in the first historical time period, the use data is acquired by the electronic device, the electronic device and the wearable device are not in a communication connection state in the first historical time period, and total sleep duration included in the second sleep data is smaller than or equal to total sleep duration included in the first sleep data.

7. The sleep data calibration apparatus as claimed in claim 6, wherein the first sleep data includes a start time and an end time of a first sleep period; the processing module is specifically configured to:

determining a first set of usage periods from the historical usage data as a function of the first sleep period, the first set of usage periods including at least one usage period, and each of the usage periods being at least partially coincident in time with the first sleep period;

and respectively carrying out calibration processing on the starting time and the ending time of the first sleep time period and the sleep time between the starting time and the ending time according to each use time period.

8. The sleep data calibration device according to claim 7, wherein the processing module is specifically configured to:

updating a start time of a first sleep period to a time end of the first use period in a case where the first use period satisfies a sleep onset correction rule;

updating an end time of the first sleep period to a time start of the first use period if the first use period satisfies a sleep out correction rule;

deleting the sleep time period corresponding to the first usage time period from the first sleep time period when the first usage time period does not satisfy the sleep-in correction rule and the sleep-out correction rule;

wherein the first usage period is any one of the first set of usage periods.

9. The sleep data calibration device as set forth in claim 8, wherein the fall asleep correction rules comprise at least one of: the starting time is positioned between the first using time periods, and the time difference between the time starting point of the first using time periods and the starting time is smaller than a first threshold value;

the out-of-sleep correction rules include at least one of: the termination time is located between the first periods of use, and the time difference between the end of time of the first periods of use and the termination time is less than a second threshold.

10. The sleep data calibration apparatus as set forth in any one of claims 6 to 9,

the obtaining module is further configured to obtain operation information of the electronic device in the first historical time period, where the operation information includes at least one of: the method comprises the steps of displaying on the screen for a time, receiving user input time and the running state of foreground application;

the processing module is further configured to determine the historical usage data according to the operation information.

11. An electronic device comprising a processor and a memory, the memory storing a program or instructions executable on the processor, the program or instructions when executed by the processor implementing the sleep data calibration method as claimed in any one of claims 1 to 5.

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