CN112401838A - Method for detecting sleep state of wearable device and wearable device - Google Patents
Method for detecting sleep state of wearable device and wearable device Download PDFInfo
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- A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
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Abstract
The invention relates to the technical field of wearable intelligent equipment, in particular to a method for detecting sleep state by wearable equipment and the wearable equipment, wherein the method comprises the following steps: the wearable device determines whether continuous user operation information acquired by an application terminal is acquired within a first preset time period; the application terminal is loaded on the terminal; the user operation information is generated based on the operation of the user on the terminal; the wearable device determines whether the user behavior information detected by the detection unit of the wearable device meets a preset standard; and the wearable equipment determines the sleep state of the user according to whether the acquired continuous user operation information and the user behavior information meet the preset standard. Therefore, the accuracy of judging the sleep state of the user in the scene of small activities of the user is improved; the sensor power consumption of the detection unit is greatly saved.
Description
Technical Field
The embodiment of the invention relates to the technical field of wearable intelligent equipment, in particular to a method for detecting a sleep state of wearable equipment and the wearable equipment.
Background
With the continuous improvement of living standard, people pay more attention to personal health, so the demand for wearable intelligent equipment in the aspect of sports health gradually becomes higher. Sleep data is one of the most important health indicators. The accurate sleeping time and the time points of falling asleep and waking are not only helpful for the user to observe the variation trend of the subtle physical condition, but also reflect the research and development technical level of equipment production companies.
Currently, a sleep detection method mainly determines the sleep state of a user by detecting body index changes of the user before and after sleeping through an acceleration sensor, a heart rate sensor, a body temperature sensor or the like, but the method is still not good for determining the situation that the user has small activity before and after sleeping. Because the heart rate of the user is gradually slowed down when the user is in a small activity before and after sleeping, the heart rate is obviously lower than that in a daily activity state, and the sleeping is too early and the waking is too late according to the judgment of the motion state or the heart rate; and frequent detection by the sensor increases the power consumption of the sensor.
In summary, there is a need for a method for detecting a sleep state of a wearable device, so as to solve the technical problems of inaccurate sleep state determination and large power consumption of a sensor.
Disclosure of Invention
The embodiment of the invention provides a method for detecting a sleep state by using wearable equipment and the wearable equipment, which are used for solving the technical problems of inaccurate sleep state judgment and high power consumption of a sensor.
The embodiment of the invention provides a method for detecting a sleep state of wearable equipment, which comprises the following steps:
the wearable device determines whether continuous user operation information acquired by an application terminal is acquired within a first preset time period; the user operation information is generated based on the operation of a user on the terminal loading the application terminal;
the wearable device determines whether the user behavior information detected by the detection unit of the wearable device meets a preset standard;
and the wearable equipment determines the sleep state of the user according to whether the acquired continuous user operation information and the user behavior information meet the preset standard.
Because the user can continuously operate the terminal under the condition of small activity, the sleep state of the user is preliminarily judged by acquiring the continuous operation information of the user on the terminal, so that the judgment accuracy of the sleep state of the user under the condition of small activity of the user is improved; and then, the sleep state of the user is determined according to whether the behavior information of the user meets the preset standard, so that the judgment precision is further improved, and the behavior information of the user is judged after the continuous operation information of the user on the terminal is judged, so that the power consumption of a sensor of the detection unit can be greatly saved.
Optionally, the determining, by the wearable device, the sleep state of the user according to whether the acquired continuous user operation information and the acquired user behavior information meet the preset standard includes:
if the wearable device does not acquire continuous user operation information and the user behavior information meets the sleep standard, determining that the user is in a sleep state;
the wearable device determines the time point of the user in the out-of-sleep state according to the first time point of the obtained continuous user operation information and the second time point of the user behavior information meeting the out-of-sleep standard.
The judgment of the sleep state of the user needs to meet the condition that the user does not continuously operate the terminal, the user behavior information meets the sleep standard, the user is determined to enter the sleep state through the two-aspect judgment, and the accuracy of detecting the time point when the user enters the sleep state is improved; when judging whether the user is in the out-of-sleep state, the first time point needs to be determined according to the operation time of the user on the terminal, then the second time point is determined according to the behavior information of the user, and the time point, in the out-of-sleep state, of the user determined through the comparison and analysis of the two time points is more accurate.
Optionally, the user behavior information includes a user's continuous operation of the wearable device, a user activity state, and a user average heart rate;
the user behavior information meets the sleep onset criterion that continuous operation of the user on the wearable device is not detected, the user activity state is smaller than a first threshold value, and the user average heart rate is smaller than a second threshold value;
the user behavior information meeting the out-of-sleep criteria is detection of continuous operation of the wearable device by the user, or the user activity state is greater than a third threshold and the user average heart rate is greater than a fourth threshold.
The judgment of the user behavior information comprises three aspects. Firstly, as the user may continuously operate the wearable device in a scene with small activity, and the wearable device is very convenient to read the operation information of the user, the accuracy of judging the time point of falling asleep and the time point of falling asleep can be improved by judging whether the user continuously operates the wearable device; through the judgment of the activity state and the average heart rate of the user, the time point of going out of sleep and the time point of going out of sleep can be judged more accurately. The three judgment indexes are cooperatively matched, so that the detection accuracy of the sleep state is jointly improved.
Optionally, the determining, by the wearable device, a time point at which the user is in the sleep-out state according to the first time point at which the user operation information is acquired and the second time point at which the user behavior information meets the sleep-out standard includes:
after the wearable device determines that the user behavior information meets the standard of going out of sleep through the detection unit, whether continuous user operation information is acquired within a second preset time period before a second time point when the user behavior information meets the standard of going out of sleep is determined;
if the wearable device acquires continuous user operation information within a second preset time period, determining a first time point at which the continuous user operation information is acquired as a time point at which the user is in a sleep state.
Therefore, a second time point of going out of sleep is determined firstly through the behavior information of the user, and then the first time point is determined again through the operation behavior of the user on the terminal, so that the first time point updates and supplements the second time point, the defect that the second time point generated by the user under the scene of small activity after going out of sleep is not the accurate time point of going out of sleep is overcome, and the accuracy of judging the time point of going out of sleep of the user is improved.
Optionally, the method further comprises:
and if the wearable device does not acquire continuous user operation information within a second preset time period, determining the second time point as the time point when the user is in the out-of-sleep state.
If the wearable device does not acquire continuous user operation information within a second preset time period, which indicates that the user does not operate the terminal within the time period, the second time point is directly determined as the time point when the user is in the out-of-sleep state, and the accuracy of the detected out-of-sleep time point can be ensured as well.
Optionally, before the wearable device determines whether the user behavior information detected by the detection unit of the wearable device meets a preset standard, the method further includes:
and the wearable device starts the detection unit when determining that the continuous user operation information acquired by the application terminal is not acquired within the first preset time period.
The wearable device determines that continuous user operation information is not acquired within a first preset time period, and then the wearable device indicates that the user may enter a sleep state at the moment, and then the detection unit is started, so that the starting times and the starting duration of the sensor can be reduced, and the power consumption of the sensor is saved.
Optionally, the method comprises:
the wearable device closes the detection unit after determining that the user is in the out-of-sleep state.
Therefore, when the user is in the sleep state, the detection unit is closed, and power consumption is saved.
An embodiment of the present invention further provides a wearable device, including:
the acquisition unit is used for determining whether continuous user operation information acquired by the application terminal is acquired within a first preset time period; the user operation information is generated based on the operation of a user on the terminal loading the application terminal;
the detection unit is used for determining whether the user behavior information detected by the detection unit of the wearable device meets a preset standard or not;
and the determining unit is used for determining the sleep state of the user according to whether the acquired continuous user operation information and the acquired user behavior information meet the preset standard.
An embodiment of the present invention further provides a computing device, including:
a memory for storing a computer program;
and the processor is used for calling the computer program stored in the memory and executing the method for detecting the sleep state listed in any mode according to the obtained program.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer-executable program is stored, and the computer-executable program is used to enable a computer to execute the method for detecting a sleep state listed in any of the above manners.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 exemplarily illustrates a possible method for a wearable device to detect a sleep state according to an embodiment of the present invention;
fig. 2 is another possible method for a wearable device to detect a sleep state according to an embodiment of the present invention;
fig. 3 is a schematic diagram of the process of detecting a sleep onset condition globally involved in an embodiment of the present invention;
FIG. 4 is a schematic diagram of the process of detecting sleep status globally involved in an embodiment of the present invention;
fig. 5 is a diagram illustrating a possible wearable device according to an embodiment of the present invention.
Detailed Description
To make the objects, embodiments and advantages of the present application clearer, the following description of exemplary embodiments of the present application will clearly and completely describe the exemplary embodiments of the present application with reference to the accompanying drawings in the exemplary embodiments of the present application, and it is to be understood that the described exemplary embodiments are only a part of the embodiments of the present application, and not all of the embodiments.
All other embodiments, which can be derived by a person skilled in the art from the exemplary embodiments described herein without inventive step, are intended to be within the scope of the claims appended hereto. In addition, while the disclosure herein has been presented in terms of one or more exemplary examples, it should be appreciated that aspects of the disclosure may be implemented solely as a complete embodiment.
It should be noted that the brief descriptions of the terms in the present application are only for the convenience of understanding the embodiments described below, and are not intended to limit the embodiments of the present application. These terms should be understood in their ordinary and customary meaning unless otherwise indicated.
The terms "first," "second," "third," and the like in the description and claims of this application and in the above-described drawings are used for distinguishing between similar or analogous objects or entities and are not necessarily intended to limit the order or sequence of any particular one, Unless otherwise indicated. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein.
Furthermore, the terms "comprises" and "comprising," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a product or device that comprises a list of elements is not necessarily limited to those elements explicitly listed, but may include other elements not expressly listed or inherent to such product or device.
At present, methods for detecting sleep states by using wearable equipment mainly include:
1. the heart rate of the human body is obtained by detecting weak arterial diastolic changes through an optical heart rate sensor positioned on the surface of the skin of the human body. According to the characteristic that the heart rate of a human body is obviously slowed down when the user falls asleep, the time point lower than the average activity heart rate threshold of the user is found out from the data for a plurality of times to judge that the user falls asleep, and the time point higher than the average sleep heart rate threshold of the user is found to judge that the user is wakeful from sleep. The method has the main defects that the optical heart rate sensor is limited by the influences of skin surface stains, wearing positions, skin colors and the like, so that the detected heart rate is abnormal, and the judgment of time points of falling asleep and waking is influenced. Secondly, the detection frequency of the optical heart rate sensor is not too high due to the low power consumption requirement of the wearable device, so that the acquired time point of the sleep state switching of the user is inaccurate.
2. The activity state of the user's device and wrist is detected by a multi-axis gyroscope and acceleration sensors located inside the wearable device. And judging that the user enters the sleep state when the activity frequency of the user is low and the activity amplitude is small, and conversely, judging that the user is in the waking state when the activity amplitude is large and frequent. The main disadvantage of this method is that it is not well judged for many scenarios where the user is less active but not in a sleeping state.
3. The temperature of the surface of the human skin is detected by a temperature sensor located on the surface of the human skin. According to the characteristic that the body temperature of a human body is low when the human body enters deep sleep, when the temperature is lower than the daily average body temperature and reaches a threshold value, judging that the user enters sleep; when the body temperature recovers, the user is judged to recover from sleep. The main disadvantage of this method is that the temperature sensor is susceptible to ambient temperature and perspiration on the skin surface, while only a clearly discernible change in body temperature occurs when deep sleep is entered.
In summary, the embodiment of the invention provides a method for detecting a sleep state by a wearable device and the wearable device, aiming at the situation that the wearable device cannot accurately detect a small activity scene before and after sleep and the power consumption can be optimized.
The wearable device in the embodiment of the invention is a portable device which can be directly worn on the body or integrated into clothes or accessories of a user, and powerful functions are realized through software support, data interaction and cloud interaction. Such as a smart watch, a smart wristband, a smart ring, a smart garment, etc., which are not limited in this respect.
Generally, the wearable device is bound with a terminal through a network, and the terminal can be a mobile phone, a computer, and the like. The user installs corresponding application software in the terminal, namely, the wearable device can read and set some parameters of the wearable device through the application software, and the wearable device can also obtain some operations applied to the terminal or the application software by the user through the application software.
The wearable device is taken as an intelligent watch, and the terminal is taken as a mobile phone for example.
With the gradual optimization of the functions and performances of the mobile phone, the dependence of modern users on the mobile phone is more and more serious. Most users still use a cell phone or watch continuously while they are awake in a less active situation. According to the above feature, when the user continuously operates the cellular phone or the wristwatch, the user can be regarded as an awake state. Therefore, operations (key pressing, wrist lifting, touch and the like) of a user on the smart watch and operations (key pressing, touch and the like) of a mobile phone bound with the device are added in the sleep detection of the smart watch to help determine whether to turn on a sensor to start detecting more accurate time when the user is in a sleep state, and meanwhile, the sleep detection method can also be used for judging more accurate time when the user is in the sleep state.
Fig. 1 exemplarily shows a method for detecting a sleep state by a wearable device according to an embodiment of the present invention, including:
specifically, the shorter the first preset time period is set, the higher the detection frequency is, the higher the detection accuracy is, but at the same time, the detection burden and power consumption of the application end may also be increased. Therefore, the setting of the first preset time period needs to take into account both the detection accuracy and the detection burden of the application end, which may be 30 seconds, 1 minute, and the like, and the embodiment of the present invention does not limit this.
The continuous user operation information may be that when various discontinuous actions such as touch, key pressing, sliding, long pressing and the like performed by the user on the terminal screen reach a certain time threshold, for example, 30s, the continuous user operation information may be determined; the continuous user operation information may also be that the number of times of each discontinuous action, such as touching, pressing a key, sliding, long pressing, and the like, performed by the user within a certain time period reaches a certain threshold, and if the actions, such as touching, pressing a key, sliding, long pressing, and the like, performed by the user on the terminal within 30s reach 3 times, the continuous user operation information may be determined; the continuous user operation information may also be continuous user operation information determined by a certain continuous action performed by the user, such as touching, pressing a key, sliding, or long pressing, reaching a certain time threshold, and for example, the user continuously slides on the terminal screen for 10 s. The embodiment of the present invention is not limited thereto.
The application terminal can read the operation information applied to the terminal by the user by registering the service in the auxiliary function, and sends the collected operation information to the wearable device. The continuous user operation information can represent a waking state of the user, and if the wearable smart device obtains the continuous user operation information, it is indicated that the user does not enter a sleep state.
102, the wearable device determines whether user behavior information detected by a detection unit of the wearable device meets a preset standard;
specifically, the preset criterion may be an activity amplitude, an activity duration, an average heart rate index, or the like of the user, the user behavior information may represent a waking state of the user from another aspect, and whether the user enters a sleep state may also be determined by determining whether the detection unit of the wearable device detects that the user behavior information meets the preset criterion.
Because the user can continuously operate the terminal under the condition of small activity, the sleep state of the user is preliminarily judged by acquiring the continuous operation information of the user on the terminal, so that the judgment accuracy of the sleep state of the user under the condition of small activity of the user is improved; and then, the sleep state of the user is determined according to whether the behavior information of the user meets the preset standard, so that the judgment precision is further improved, and the behavior information of the user is judged after the continuous operation information of the user on the terminal is judged, so that the power consumption of a sensor of the detection unit can be greatly saved.
Optionally, the determining, by the wearable device, the sleep state of the user according to whether the acquired continuous user operation information and the acquired user behavior information meet the preset standard includes:
if the wearable device does not acquire continuous user operation information and the user behavior information meets the sleep standard, determining that the user is in a sleep state;
the wearable device determines the time point of the user in the out-of-sleep state according to the first time point of the obtained continuous user operation information and the second time point of the user behavior information meeting the out-of-sleep standard.
Specifically, the user behavior information includes continuous operation of the wearable device by the user, a user activity state and a user average heart rate; the detection of the user behavior information is completed by a detection unit of the wearable device.
The continuous operation on the wearable device may be that when various discontinuous actions such as key pressing, wrist lifting, touch and the like performed on the wearable device by the user reach a certain time threshold, if 30s, the continuous operation on the wearable device may be determined; the number of times of various discontinuous actions such as key pressing, wrist lifting, touching and the like performed on the wearable device by the user in a certain time period reaches a certain threshold, and if the actions such as key pressing, wrist lifting, touching and the like performed on the wearable device by the user in 30s reach 3 times, the continuous operation on the wearable device can be judged; the wearable device may be determined to be continuously operated if a certain continuous action performed by the user, such as pressing a key, lifting a wrist, touching, reaches a certain time threshold, and if the user continuously presses a key on the wearable device for 10 seconds. The embodiment of the present invention is not limited thereto.
The user activity state is obtained by detecting the activity state of the wearable device through a multi-axis gyroscope and an acceleration sensor which are positioned inside the wearable device. The activity state comprises activity amplitude and activity frequency, the user is judged to be in the sleep state when the activity frequency of the user is low and the activity amplitude is small, and the user is judged to be in the sleep state when the activity amplitude is large and frequent. The activity amplitude and activity frequency thresholds corresponding to when the user is in a state of falling asleep or falling asleep, respectively, can be determined in the multiple detection data.
The average heart rate of the user is detected by an optical heart rate sensor positioned inside the wearable device to detect weak arterial diastolic changes so as to obtain the heart rate of the human body. According to the characteristic that the heart rate of a human body is obviously slowed down when the user falls asleep, the time point lower than the average activity heart rate threshold of the user is found out from the data for a plurality of times to judge that the user falls asleep, and the time point higher than the average sleep heart rate threshold of the user is found to judge that the user is wakeful from sleep.
Generally, when the user falls asleep, the wearable device is not continuously operated, and the active state and the average heart rate are lower than the awake state, so that whether the user falls asleep can be further determined. And judging the user behavior information in a non-sequential order.
Whether wearable equipment detects user's action information and accords with preset standard can be: the method includes detecting whether a user has continuous operation on the wearable device within a preset time period, detecting whether an activity state of the user within the preset time period is smaller than a first threshold, and detecting whether an average heart rate of the user within the preset time period is smaller than a second threshold, where the preset time period may be set to be the same as the first preset time period, for example, 30s, or may be set otherwise, and this is not limited in the embodiments of the present invention. The first threshold and the second threshold may be set to be a single value or a single range, which is not limited in this embodiment of the present invention.
The determination of whether the user is asleep is based on the user having fallen asleep. When the wearable device determines that the user falls asleep, a first time point at which continuous user operation information is acquired, and a second time point at which user behavior information meets an out-of-sleep criterion, wherein the user behavior information meeting the out-of-sleep criterion is that continuous operation of the user on the wearable device is detected, or the user activity state is greater than a third threshold and the user average heart rate is greater than a fourth threshold. The third threshold and the fourth threshold may be set to be a single value or a single range, which is not limited in this embodiment of the present invention.
The judgment of the sleep state of the user needs to meet the condition that the user does not continuously operate the terminal, the user behavior information meets the sleep standard, the user is determined to enter the sleep state through the two-aspect judgment, and the accuracy of detecting the time point when the user enters the sleep state is improved; when judging whether the user is in the out-of-sleep state, the first time point needs to be determined according to the operation time of the user on the terminal, then the second time point is determined according to the behavior information of the user, and the time point, in the out-of-sleep state, of the user determined through the comparison and analysis of the two time points is more accurate.
Meanwhile, the judgment of the user behavior information comprises three aspects. Firstly, as the user may continuously operate the wearable device in a scene with small activity, and the wearable device is very convenient to read the operation information of the user, the accuracy of judging the time point of falling asleep and the time point of falling asleep can be improved by judging whether the user continuously operates the wearable device; through the judgment of the activity state and the average heart rate of the user, the time point of going out of sleep and the time point of going out of sleep can be judged more accurately. The three judgment indexes are cooperatively matched, so that the detection accuracy of the sleep state is jointly improved.
Optionally, the wearable device determines the time point when the user is in the sleep-out state according to the first time point when the user operation information is acquired and the second time point when the user behavior information meets the sleep-out standard, including the following steps, as shown in fig. 2:
the second preset time period is a time period in which the indexes of the motion amplitude, the heart rate state and the like of the user are sufficient to recover from the sleep-in state to the sleep-out state, and may be set according to actual conditions, such as 20 minutes, 30 minutes and the like, which is not limited in this embodiment of the present invention.
For example, the wearable device detects that the activity state, the average heart rate, and the like of the user meet the sleep standard at 7:00 a morning through the detection unit, and determines that the second time point is 7:00, that is, the user may have gone out of sleep at this time; the wearable device will continue to determine whether the user has a continuous record of operating the terminal within 30 minutes before 7:00, if it is detected that the user has a continuous record of operating the terminal at 6:40, 6:40 is the first time point, which means that the user has fallen asleep at 6:40, so the first time point is determined as the time point when the user is in the out-of-sleep state. If the wearable device determines that the user does not have a continuous record of operating the terminal within 30 minutes before 7:00, it indicates that the user is actually asleep at 7:00, and determines the second time point as the time point at which the user is asleep.
Therefore, a second time point of going out of sleep is determined firstly through the behavior information of the user, and then the first time point is determined again through the operation behavior of the user on the terminal, so that the first time point updates and supplements the second time point, the defect that the second time point generated by the user under the scene of small activity after going out of sleep is not the accurate time point of going out of sleep is overcome, and the accuracy of judging the time point of going out of sleep of the user is improved.
If the wearable device does not acquire continuous user operation information within a second preset time period, which indicates that the user does not operate the terminal within the time period, the second time point is directly determined as the time point when the user is in the out-of-sleep state, and the accuracy of the detected out-of-sleep time point can be ensured as well.
Optionally, before the wearable device determines whether the user behavior information detected by the detection unit of the wearable device meets a preset standard, the method further includes:
and the wearable device starts the detection unit when determining that the continuous user operation information acquired by the application terminal is not acquired within the first preset time period.
Specifically, the wearable device determines that continuous user operation information is not acquired within a first preset time period, which indicates that the user may enter a sleep state at this time, and then starts the detection unit, so that the starting times and the starting duration of the sensor can be reduced, and the power consumption of the sensor is saved.
Optionally, the wearable device turns off the detection unit after determining that the user is in the out-of-sleep state.
Therefore, when the user is in the sleep state, the detection unit is closed, and power consumption is saved.
Experiments prove that the problem of inaccurate detection of small activity scenes before and after sleep in other systems can be solved by using the method to detect the sleep state, and about 10% of power consumption of sleep detection can be optimized.
In order to describe the method for detecting a sleep state more clearly, the following describes the procedure for detecting a sleep state in an embodiment of the present invention in an integrated manner with reference to fig. 3. As shown in fig. 3, the following steps may be included:
specifically, the time period for detecting the sleep state may be 24 hours in a day, or may be a certain time period set in advance by a user, which is not limited in this embodiment of the present invention.
305, detecting whether the activity state of the user in a first preset time period is smaller than a first threshold value by the wearable device; if not, returning to the step 301; if yes, go to step 306;
and 307, determining that the user is in a sleep state, and recording the time point for judging the sleep state.
The following describes a procedure of detecting a sleep state according to an embodiment of the present invention in a general manner with reference to fig. 4. As shown in fig. 4, the following steps may be included:
specifically, the time period for detecting the sleep state may be a time period determined after the user falls asleep, or may be a certain time period set in advance by the user, which is not limited in this embodiment of the present invention.
and step 406, determining the second time point as the time point when the user is in the out-of-sleep state.
An embodiment of the present invention further provides a wearable device, as shown in fig. 5, including:
an obtaining unit 501, configured to determine whether to obtain continuous user operation information acquired by an application within a first preset time period; the user operation information is generated based on the operation of a user on the terminal loading the application terminal;
a detection unit 502, configured to determine whether user behavior information detected by the detection unit of the wearable device meets a preset standard;
the determining unit 503 is configured to determine the sleep state of the user according to whether the acquired continuous user operation information and the acquired user behavior information meet a preset standard.
An embodiment of the present invention further provides a computing device, including:
a memory for storing a computer program;
and the processor is used for calling the computer program stored in the memory and executing the method for detecting the sleep state listed in any mode according to the obtained program.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer-executable program is stored, and the computer-executable program is used to enable a computer to execute the method for detecting a sleep state listed in any of the above manners.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A method for a wearable device to detect a sleep state, comprising:
the wearable device determines whether continuous user operation information acquired by an application terminal is acquired within a first preset time period; the user operation information is generated based on the operation of a user on the terminal loading the application terminal;
the wearable device determines whether the user behavior information detected by the detection unit of the wearable device meets a preset standard;
and the wearable equipment determines the sleep state of the user according to whether the acquired continuous user operation information and the user behavior information meet the preset standard.
2. The method of claim 1,
the wearable device determines the sleep state of the user according to whether the acquired continuous user operation information and the acquired user behavior information meet the preset standard, and the method comprises the following steps:
if the wearable device does not acquire continuous user operation information and the user behavior information meets the sleep standard, determining that the user is in a sleep state;
the wearable device determines the time point of the user in the out-of-sleep state according to the first time point of the obtained continuous user operation information and the second time point of the user behavior information meeting the out-of-sleep standard.
3. The method of claim 2,
the user behavior information comprises continuous operation of the wearable device by the user, a user activity state and a user average heart rate;
the user behavior information meets the sleep onset criterion that continuous operation of the user on the wearable device is not detected, the user activity state is smaller than a first threshold value, and the user average heart rate is smaller than a second threshold value;
the user behavior information meeting the out-of-sleep criteria is detection of continuous operation of the wearable device by the user, or the user activity state is greater than a third threshold and the user average heart rate is greater than a fourth threshold.
4. The method of claim 2,
the wearable device determines a time point when the user is in the out-of-sleep state according to a first time point when the user operation information is acquired and a second time point when the user behavior information meets the out-of-sleep standard, and the method comprises the following steps:
after the wearable device determines that the user behavior information meets the standard of going out of sleep through the detection unit, whether continuous user operation information is acquired within a second preset time period before a second time point when the user behavior information meets the standard of going out of sleep is determined;
if the wearable device acquires continuous user operation information within a second preset time period, determining a first time point at which the continuous user operation information is acquired as a time point at which the user is in a sleep state.
5. The method of claim 4, further comprising:
and if the wearable device does not acquire continuous user operation information within a second preset time period, determining the second time point as the time point when the user is in the out-of-sleep state.
6. The method of any one of claims 1-5,
before the wearable device determines whether the user behavior information detected by the detection unit of the wearable device meets a preset standard, the method further includes:
and the wearable device starts the detection unit when determining that the continuous user operation information acquired by the application terminal is not acquired within the first preset time period.
7. The method of claim 6, further comprising:
the wearable device closes the detection unit after determining that the user is in the out-of-sleep state.
8. A wearable device, comprising:
the acquisition unit is used for determining whether continuous user operation information acquired by the application terminal is acquired within a first preset time period; the user operation information is generated based on the operation of a user on the terminal loading the application terminal;
the detection unit is used for determining whether the user behavior information detected by the detection unit of the wearable device meets a preset standard or not;
and the determining unit is used for determining the sleep state of the user according to whether the acquired continuous user operation information and the acquired user behavior information meet the preset standard.
9. A computing device, comprising:
a memory for storing a computer program;
a processor for calling a computer program stored in said memory, for executing the method of any one of claims 1 to 7 in accordance with the obtained program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer-executable program for causing a computer to execute the method of any one of claims 1 to 7.
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