CN113662511A - Wearable device sleep monitoring method, device, equipment and storage medium - Google Patents
Wearable device sleep monitoring method, device, equipment and storage medium Download PDFInfo
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- 230000007958 sleep Effects 0.000 title claims abstract description 128
- 238000000034 method Methods 0.000 title claims abstract description 51
- 238000012544 monitoring process Methods 0.000 title claims abstract description 50
- 230000001133 acceleration Effects 0.000 claims description 109
- 238000012806 monitoring device Methods 0.000 claims description 7
- 238000004891 communication Methods 0.000 description 6
- 102000054999 human core Human genes 0.000 description 6
- 108700026469 human core Proteins 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 238000009529 body temperature measurement Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 230000004907 flux Effects 0.000 description 3
- 230000036541 health Effects 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000036757 core body temperature Effects 0.000 description 1
- 238000011982 device technology Methods 0.000 description 1
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- 230000004048 modification Effects 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4809—Sleep detection, i.e. determining whether a subject is asleep or not
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
- G01K13/20—Clinical contact thermometers for use with humans or animals
Abstract
The application discloses wearable equipment sleep monitoring method, device, equipment and storage medium, and the method comprises the following steps: when the wearable device is in a stable state and in a sleep mode, acquiring the core temperature of the human body based on a first preset acquisition frequency within a first preset time; counting the temperature correlation times of the human body core temperature being greater than a preset temperature threshold; if the temperature-related times are smaller than a preset temperature-related time threshold value, determining that the wearable device is not in a wearing state; exiting the sleep mode when the wearable device is not in a worn state. According to the method and the device, whether the wearable device is in the wearing state or not is determined through the core temperature of the human body, and if the wearable device is not in the wearing state, the wearable device exits the sleep mode, so that the misjudgment rate of judging whether the user enters the sleep state or not when the sleep monitoring is carried out through the wearable device is reduced.
Description
Technical Field
The present application relates to the field of wearable device technologies, and in particular, to a wearable device sleep monitoring method, apparatus, device, and storage medium.
Background
With the increasing importance of people on health, the sleep quality has a great influence on health, and therefore, how to monitor sleep is an urgent problem to be solved.
In the prior art, sleep monitoring is a basic function that wearable equipment possesses, and this wearable equipment can be wrist-watch, bracelet etc. before carrying out sleep monitoring through wearable equipment, need earlier confirm that wearable equipment is in wearing the state through photoelectric sensor, when wearable equipment is in wearing the state, can confirm that the user gets into sleep state, just carries out sleep monitoring. However, when the photoelectric sensor detects the device wearing state of the wearable device, the obtained detection result is influenced by the shielding of the foreign object, so that even if the wearable device is not worn by the user, the photoelectric sensor often determines that the wearable device is in the wearing state when the photoelectric sensor is shielded by the foreign object, and performs sleep monitoring on the user.
That is, when sleep monitoring is performed through wearable equipment at present, the misjudgment rate of judging whether the user enters the sleep state is high.
Disclosure of Invention
The main purpose of the present application is to provide a wearable device sleep monitoring method, apparatus, device and storage medium, which aim to solve the technical problem of how to reduce the misjudgment rate of judging whether a user enters a sleep state when sleep monitoring is performed through a wearable device.
In order to achieve the above object, the present application provides a wearable device sleep monitoring method, which includes the steps of:
when the wearable device is in a stable state and in a sleep mode, acquiring the core temperature of the human body based on a first preset acquisition frequency within a first preset time;
counting the temperature correlation times of the human body core temperature being greater than a preset temperature threshold;
if the temperature-related times are smaller than a preset temperature-related time threshold value, determining that the wearable device is not in a wearing state;
exiting the sleep mode when the wearable device is not in a worn state.
Optionally, when the wearable device is in a steady state and in a sleep state, before acquiring the core temperature of the human body based on a first preset acquisition frequency within a first preset time, the method includes:
and acquiring an acceleration signal, and judging whether the wearable equipment is in a stable state or not based on the acceleration signal.
Optionally, the acquiring an acceleration signal and determining whether the wearable device is in a steady state based on the acceleration signal includes:
acquiring the acceleration signal based on a second preset acquisition frequency within a second preset time;
counting the motion correlation times of the combined acceleration corresponding to the acceleration signal in a preset combined acceleration interval;
and if the motion correlation times are larger than a preset motion correlation time threshold value, determining that the wearable equipment is in a stable state.
Optionally, the acquiring the acceleration signal based on the second preset acquiring frequency includes:
and acquiring the X-axis acceleration signal, the Y-axis acceleration signal and the Z-axis acceleration signal based on a second preset acquisition frequency, and calculating the resultant acceleration corresponding to the X-axis acceleration signal, the Y-axis acceleration signal and the Z-axis acceleration signal.
Optionally, after counting the temperature-related times that the core temperature of the human body is greater than the preset temperature threshold, the method further includes:
and if the motion related times are less than or equal to the preset motion related time threshold, determining that the wearable equipment is not in a stable state.
Optionally, after counting the temperature-related times that the core temperature of the human body is greater than the preset temperature threshold, the method further includes:
if the temperature-related times are greater than or equal to the preset temperature-related time threshold, determining that the wearable device is in a wearing state;
when the wearable device is in a wearing state, if the wearable device is in a sleep mode, continuously outputting the sleep mode.
Optionally, after determining that the wearable device is not in a wearing state, the method further includes:
when the wearable device is not in a wearing state, if the wearable device is not in a sleep mode, initializing a preset sleep monitoring algorithm.
In addition, in order to realize above-mentioned purpose, this application still provides a wearable equipment sleep monitoring device, wearable equipment sleep monitoring device includes:
the wearable device comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring the core temperature of the human body based on a first preset acquisition frequency within a first preset time when the wearable device is in a steady state and in a sleep mode;
the counting module is used for counting the temperature correlation times of the human body core temperature which is greater than a preset temperature threshold;
the first determining module is used for determining that the wearable device is not in a wearing state if the temperature-related times are smaller than a preset temperature-related time threshold;
and the exit module is used for exiting the sleep mode when the wearable equipment is not in the wearing state.
In addition, to achieve the above object, the present application also provides a wearable device, which includes a memory, a processor, and a wearable device sleep monitoring program stored on the memory and operable on the processor, and when executed by the processor, the wearable device sleep monitoring program implements the steps of the wearable device sleep monitoring method as described above.
In addition, to achieve the above object, the present application also provides a computer readable storage medium, which stores a wearable device sleep monitoring program, and when the wearable device sleep monitoring program is executed by a processor, the wearable device sleep monitoring program implements the steps of the wearable device sleep monitoring method as described above.
Compared with the prior art, even if the wearable device is not worn by a user, when the photoelectric sensor is shielded by a foreign object, the wearable device is determined to be in a wearing state, and sleep detection is performed, so that the misjudgment rate for judging whether the user enters the sleep state is high; counting the temperature correlation times of the human body core temperature being greater than a preset temperature threshold; if the temperature-related times are smaller than a preset temperature-related time threshold value, determining that the wearable device is not in a wearing state; exiting the sleep mode when the wearable device is not in a worn state. The preset temperature threshold is smaller than the core temperature of a human body, so that the human body core temperature is not changed basically, whether the wearable equipment is in a wearing state or not is determined through the core temperature of the human body, the wearable equipment is not influenced by foreign objects, whether the wearable equipment needs to exit the sleep mode or not is judged more accurately, and therefore the misjudgment rate of judging whether a user enters the sleep state or not when the wearable equipment is used for monitoring the sleep is reduced.
Drawings
Fig. 1 is a schematic flowchart of a wearable device sleep monitoring method according to a first embodiment of the present application;
FIG. 2 is a schematic diagram of a scenario involving an embodiment of the present application;
FIG. 3 is a functional block diagram of a preferred embodiment of a wearable device sleep monitoring apparatus of the present application;
fig. 4 is a schematic structural diagram of a hardware operating environment according to an embodiment of the present application.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Referring to fig. 1, fig. 1 is a schematic flowchart of a wearable device sleep monitoring method according to a first embodiment of the present application.
Embodiments of the present application provide embodiments of a wearable device sleep monitoring method, and it should be noted that although a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in an order different from that here. The wearable device sleep monitoring method can be applied to wearable devices. For convenience of description, the following omits the implementation of the steps of the subject description wearable device sleep monitoring method. The wearable device sleep monitoring method comprises the following steps:
step S10, when the wearable device is in a stationary state and in a sleep mode, acquiring the core temperature of the human body based on a first preset acquisition frequency within a first preset time.
When wearable equipment is in steady state and is in sleep mode, in first preset time, acquire human core temperature based on first predetermineeing acquisition frequency, in this embodiment, wearable equipment just carries out sleep monitoring when the user wears, to whether worn by the user, judges through the human core temperature who acquires this wearable equipment, specifically, this human core temperature is in first preset time, acquires based on first predetermineeing acquisition frequency. It can be understood that the number of the human body core temperature is a quotient of the first preset time and the first preset obtaining frequency, the human body core temperature can be obtained based on a temperature sensor, the temperature sensor is arranged on one side of the wearable device outer surface shell, which is in contact with the skin of the human body, namely, the temperature of the temperature sensor when in contact with the human body is the body surface temperature, according to the body surface temperature, the human body core temperature can be calculated, and the temperature of the temperature sensor when not in contact with the human body is affected by specific contact objects, for example, the temperature sensor is in contact with the air, namely, the temperature is the air temperature.
In this embodiment, the core body temperature measurement can also be performed based on a heat flow method, and the model is shown in fig. 2,
wherein Tskin is the body surface temperature measured by a temperature sensor; q is heat flux, measurable by a heat flux sensor; rb is the human body thermal resistance, and the value of Rb is changed due to different personal physical signs of each person; tcore is the core temperature of the human body, and is estimated by formula (1).
Tcore＝Tskin+Rb×Q (1)
In this embodiment, calibration is required before the core temperature measurement system can be used. Knowing the body surface temperature, heat flux and core temperature reference values, the core temperature measurement system is calibrated based on equation (1).
It should be noted that the temperature of the sublingual gland or the temperature of other parts is measured by other devices as the reference value of the core temperature.
It should be noted that the average core temperature of an adult fluctuates within a narrow temperature range centered at 37 ℃, i.e., the core temperature of the human body can be regarded as a fixed value, for example, the core temperature of the human body is determined to be 37 ℃.
It should be noted that the first preset time and the first preset obtaining frequency may be specifically set according to actual needs, and this embodiment is not specifically limited. It can be understood that after the first preset time is determined, the first preset obtaining frequency is in direct proportion to the number of the temperatures included in the core temperature of the human body, that is, the larger the first preset obtaining frequency is, the more the number is; the smaller the first preset acquisition frequency is, the smaller the number is. For example, when the first preset time is 1 minute, if the first preset acquisition frequency is 10 times/second, the number is 600; if the first preset acquisition frequency is 1 time/second, the number is 60.
Wherein, in order to confirm whether need monitor the user sleep condition, still need confirm wearable device's equipment motion state, specifically, when wearable device is in steady state and is in the sleep state, in first preset time, before acquireing human core temperature based on first preset acquisition frequency, include:
step a, acquiring an acceleration signal, and judging whether the wearable equipment is in a stable state or not based on the acceleration signal;
in this embodiment, the motion state of the device is determined by the acceleration signal, and it can be understood that the acceleration signal is not substantially changed when the wearable device is in a steady state; and when the wearable device is not in a steady state, the acceleration signal changes for a larger number of times. For example, the number of times the acceleration signal changes when the user runs is greater than the number of times the acceleration signal changes when the user has a rest, that is, the wearable device is not in a steady state when the user runs, and the wearable device is in a steady state when the user has a rest.
Specifically, the acceleration signal is used for judging whether the wearable device is in a steady state, when the motion state of the device is that the wearable device is in the steady state, the human core temperature of the wearable device needs to be acquired based on a first preset acquisition frequency, and whether the user wears the wearable device is determined based on the human core temperature; when the motion state of the device is that the wearable device is not in a steady state, the user cannot sleep necessarily, for example, the user runs, and the user does not need to be monitored for sleep at this time, that is, the core temperature of the human body does not need to be acquired, so as to determine whether the user wears the wearable device.
Specifically, the acquiring an acceleration signal and determining whether the wearable device is in a steady state based on the acceleration signal includes:
step a1, acquiring the acceleration signal based on a second preset acquiring frequency in a second preset time.
In this embodiment, in the second preset time, the acceleration signal is obtained based on the second preset obtaining frequency, and it can be understood that the acceleration signal includes a plurality of acceleration signals, and the number of the acceleration signals is a quotient of the second preset time and the second preset obtaining frequency. The second preset time and the second preset obtaining frequency may be set according to the requirement, and this embodiment is not particularly limited.
Step a2, counting the motion related times of the combined acceleration corresponding to the acceleration signal in a preset combined acceleration interval.
In this embodiment, the motion-related times that the resultant acceleration corresponding to the acceleration signal is in the preset resultant acceleration interval are counted, where it should be noted that when the resultant acceleration falls within the preset resultant acceleration interval, the resultant acceleration is smaller, and when the resultant acceleration falls outside the preset resultant acceleration interval, the resultant acceleration is larger.
Step a3, if the number of times of the motion correlation is greater than a preset threshold value of the number of times of the motion correlation, determining that the wearable device is in a steady state.
In this embodiment, if the number of times that the combined acceleration is small is greater than the preset motion-related number threshold, that is, the motion-related number is greater than the preset motion-related number threshold, it is determined that the wearable device is in a steady state, that is, the position of the wearable device is not changed by a large extent within the second preset time, and it can be understood that the user may be in a sleep state at this time. The preset motion related times can be specifically set according to actual needs, and corresponding adjustment is performed according to the accuracy for determining whether the wearable device is in a stable state, and the embodiment is not particularly limited.
Wherein, for the acceleration signal, it includes multiple acceleration signal, specifically, the acceleration signal includes X axle acceleration signal, Y axle acceleration signal and Z axle acceleration signal, it obtains the acceleration signal to predetermine based on the second, include:
step a4, acquiring the X-axis acceleration signal, the Y-axis acceleration signal and the Z-axis acceleration signal based on a second preset acquisition frequency, and calculating a resultant acceleration corresponding to the X-axis acceleration signal, the Y-axis acceleration signal and the Z-axis acceleration signal.
In the present embodiment, the resultant acceleration corresponding to the X-axis acceleration signal, the Y-axis acceleration signal and the Z-axis acceleration signal is calculated, and specifically, the acceleration corresponding to the X-axis acceleration signal is assumed to be AccXAcceleration corresponding to the Y-axis acceleration signal is AccyAcceleration corresponding to the Z-axis acceleration signal is AcczResultant acceleration AccCombination of Chinese herbsIf the resultant acceleration is the square sum of the X-axis acceleration signal, the Y-axis acceleration signal, and the Z-axis acceleration signal, that is, the calculation formula of the resultant acceleration is:
in addition, after counting the number of times that the resultant acceleration corresponding to the acceleration signal is in the motion correlation of a preset resultant acceleration interval, the method further includes:
step a5, if the number of times of the motion correlation is less than or equal to the preset threshold value of the number of times of the motion correlation, determining that the wearable device is not in a steady state.
In this embodiment, if the number of times of occurrence of the case where the combined acceleration is small is less than or equal to the preset motion-related number threshold, that is, the number of times of motion-related is less than or equal to the preset motion-related number threshold, it is determined that the wearable device is not in a steady state, that is, the position of the wearable device is changed by a large amplitude within the second preset time, and it can be understood that the user may be in a motion state at this time.
Step S20, counting the temperature correlation times of the human body core temperature being greater than a preset temperature threshold; the preset temperature threshold is smaller than the core temperature of the human body.
In this embodiment, the temperature-related times that the human body core temperature is greater than the preset temperature threshold is counted, where the preset temperature threshold is less than the human body core temperature, it should be noted that the temperature-related times that the human body core temperature is greater than the preset temperature threshold is the times that the human body core temperature is obtained through the temperature sensor, and there is a problem that the temperature drops in the process of transmitting the human body core temperature to the temperature sensor, therefore, the preset temperature threshold is set to be less than the human body core temperature, it can be understood that the preset temperature threshold is slightly less than the human body core temperature, and a difference between the preset temperature threshold and the human body core temperature corresponds to a temperature drop amplitude.
Specifically, the temperature correlation times of the human body core temperature greater than a preset temperature threshold are counted.
Step S30, if the temperature-related times is smaller than a preset temperature-related times threshold, determining that the wearable device is not in a wearing state.
Further, after counting the temperature correlation times that the human body core temperature is greater than the preset temperature threshold, the method further includes:
step c, if the temperature-related times are larger than or equal to the preset temperature-related time threshold, determining that the wearable equipment is in a wearing state;
and d, when the wearable equipment is in a wearing state, if the wearable equipment is in a sleep mode, continuously outputting the sleep mode.
In this embodiment, when the wearable device is in a steady state, that is, when the position of the wearable device is not substantially changed, the user may be in a sleep state, or the wearable device may be put aside by the user, and therefore, when the wearable device is in the steady state, it is necessary to determine whether the wearable device is worn by the user or the wearable device is put aside by the user at this time through the above temperature-related times.
It can be understood that when the user sleeps, the suitable environment temperature is 20-23 ℃, and the core temperature of the human body is about 37 ℃, so that if the temperature-related times are greater than or equal to the preset temperature-related times threshold, it is indicated that the times of the temperature sensor contacting with the body surface of the human body are greater than or equal to the preset temperature-related times threshold, and it is determined that the wearable device is in the wearing state. The preset temperature-related time threshold may be set according to actual needs, and may be adjusted accordingly according to the accuracy of determining whether the wearable device is in the wearing state, which is not specifically limited in this embodiment, and the preset temperature threshold may be further determined to be greater than the suitable ambient temperature and less than the core temperature of the human body, that is, approximately between 23 ℃ and 37 ℃.
In this embodiment, if the temperature-related times is smaller than the preset temperature-related times threshold, it is indicated that the times of contact between the temperature sensor and the body surface of the human body is smaller than the preset temperature-related times threshold, and it is determined that the wearable device is not in the wearing state; when the wearable device is not in the wearing state, it is indicated that the wearable device is put aside by the user, and if the wearable device is in the sleep mode at this time, the sleep condition of the user cannot be accurately monitored, so that the user can exit the sleep mode.
Wherein, after determining that the wearable device is not in a wearing state, the method further comprises:
and e, when the wearable equipment is not in a wearing state, if the wearable equipment is not in a sleep mode, initializing a preset sleep monitoring algorithm.
In this embodiment, when the wearable device is not in the wearing state, and if the wearable device is not in the sleep mode, it indicates that the user has finished the sleep behavior, and the wearable device has exited from the sleep mode, at this time, a preset sleep monitoring algorithm is initialized to prepare for monitoring the sleep condition of the user next time, where the preset sleep monitoring algorithm is used for detecting the sleep condition of the user.
Compared with the prior art, even if the wearable device is not worn by a user, when the photoelectric sensor is shielded by a foreign object, the wearable device is determined to be in a wearing state, and sleep detection is performed, so that the misjudgment rate for judging whether the user enters the sleep state is high; counting the temperature correlation times of the human body core temperature being greater than a preset temperature threshold; if the temperature-related times are smaller than a preset temperature-related time threshold value, determining that the wearable device is not in a wearing state; exiting the sleep mode when the wearable device is not in a worn state. The preset temperature threshold is smaller than the core temperature of a human body, so that the human body core temperature is not changed basically, whether the wearable equipment is in a wearing state or not is determined through the core temperature of the human body, the wearable equipment is not influenced by foreign objects, whether the wearable equipment needs to exit the sleep mode or not is judged more accurately, and therefore the misjudgment rate of judging whether a user enters the sleep state or not when the wearable equipment is used for monitoring the sleep is reduced.
In addition, this application still provides a wearable equipment sleep monitoring device, as shown in fig. 3, wearable equipment sleep monitoring device includes:
the wearable device comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring the core temperature of the human body based on a first preset acquisition frequency within a first preset time when the wearable device is in a steady state and in a sleep mode;
the counting module is used for counting the temperature correlation times of the human body core temperature which is greater than a preset temperature threshold;
the first determining module is used for determining that the wearable device is not in a wearing state if the temperature-related times are smaller than a preset temperature-related time threshold;
and the exit module is used for exiting the sleep mode when the wearable equipment is not in the wearing state.
Optionally, the wearable device sleep monitoring apparatus further includes:
and the second acquisition module is used for acquiring the acceleration signal and judging whether the wearable equipment is in a stable state or not based on the acceleration signal.
Optionally, the second obtaining module is further configured to:
acquiring the acceleration signal based on a second preset acquisition frequency within a second preset time;
counting the motion correlation times of the combined acceleration corresponding to the acceleration signal in a preset combined acceleration interval;
and if the motion correlation times are larger than a preset motion correlation time threshold value, determining that the wearable equipment is in a stable state.
Optionally, the second obtaining module is further configured to:
and acquiring the X-axis acceleration signal, the Y-axis acceleration signal and the Z-axis acceleration signal, and calculating the resultant acceleration corresponding to the X-axis acceleration signal, the Y-axis acceleration signal and the Z-axis acceleration signal.
Optionally, the second obtaining module is further configured to:
and if the motion related times are less than or equal to the preset motion related time threshold, determining that the wearable equipment is not in a stable state.
Optionally, the wearable device sleep monitoring apparatus further includes:
the second determining module is used for determining that the wearable device is in a wearing state if the temperature-related times are greater than or equal to the preset temperature-related times threshold;
and the continuous output module is used for continuously outputting the sleep mode if the wearable equipment is in the sleep mode when the wearable equipment is in the wearing state.
Optionally, the wearable device sleep monitoring apparatus further includes:
the initialization module is used for initializing a preset sleep monitoring algorithm when the wearable device is not in a wearing state and if the wearable device is not in a sleep mode.
The specific implementation of the sleep monitoring device for wearable equipment in the present application is basically the same as that of each embodiment of the sleep monitoring method for wearable equipment, and is not described herein again.
In addition, this application still provides a wearable equipment. As shown in fig. 4, fig. 4 is a schematic structural diagram of a hardware operating environment according to an embodiment of the present application.
It should be noted that fig. 4 is a schematic structural diagram of a hardware operating environment of the wearable device.
As shown in fig. 4, the wearable device may include: a processor 1001, such as a CPU, a memory 1005, a user interface 1003, a network interface 1004, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Optionally, the wearable device may also include RF (Radio Frequency) circuitry, sensors, audio circuitry, WiFi modules, and the like.
Those skilled in the art will appreciate that the wearable device structure shown in fig. 4 does not constitute a limitation of the wearable device, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 4, a memory 1005, which is one type of computer storage medium, may include an operating system, a network communication module, a user interface module, and a wearable device sleep monitoring program. The operating system is a program for managing and controlling hardware and software resources of the wearable device, and supports the operation of a sleep monitoring program of the wearable device and other software or programs.
In the wearable device shown in fig. 4, the user interface 1003 is mainly used for connecting a terminal and performing data communication with the terminal, such as receiving user signaling data sent by the terminal; the network interface 1004 is mainly used for the background server and performs data communication with the background server; the processor 1001 may be configured to invoke a wearable device sleep monitoring program stored in the memory 1005 and perform the steps of the wearable device sleep monitoring method described above.
The specific implementation of the wearable device of the present application is substantially the same as the embodiments of the sleep monitoring method of the wearable device, and is not repeated here.
In addition, an embodiment of the present application also provides a computer-readable storage medium, where a wearable device sleep monitoring program is stored on the computer-readable storage medium, and when executed by a processor, the wearable device sleep monitoring program implements the steps of the wearable device sleep monitoring method as described above.
The specific implementation of the computer-readable storage medium of the present application is substantially the same as the embodiments of the wearable device sleep monitoring method, and is not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, a device, or a network device) to execute the method according to the embodiments of the present application.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.
Claims (10)
1. A wearable device sleep monitoring method is characterized by comprising the following steps:
when the wearable device is in a stable state and in a sleep mode, acquiring the core temperature of the human body based on a first preset acquisition frequency within a first preset time;
counting the temperature correlation times of the human body core temperature being greater than a preset temperature threshold;
if the temperature-related times are smaller than a preset temperature-related time threshold value, determining that the wearable device is not in a wearing state;
exiting the sleep mode when the wearable device is not in a worn state.
2. The sleep monitoring method for the wearable device as claimed in claim 1, wherein before acquiring the core temperature of the human body based on the first preset acquisition frequency within the first preset time when the wearable device is in a steady state and in a sleep state, the sleep monitoring method comprises:
and acquiring an acceleration signal, and judging whether the wearable equipment is in a stable state or not based on the acceleration signal.
3. The sleep monitoring method for a wearable device as claimed in claim 2, wherein the obtaining an acceleration signal and determining whether the wearable device is in a steady state based on the acceleration signal comprises:
acquiring the acceleration signal based on a second preset acquisition frequency within a second preset time;
counting the motion correlation times of the combined acceleration corresponding to the acceleration signal in a preset combined acceleration interval;
and if the motion correlation times are larger than a preset motion correlation time threshold value, determining that the wearable equipment is in a stable state.
4. The sleep monitoring method for a wearable device according to claim 3, wherein the acceleration signal comprises an X-axis acceleration signal, a Y-axis acceleration signal, and a Z-axis acceleration signal, and the acquiring the acceleration signal based on the second preset acquisition frequency comprises:
and acquiring the X-axis acceleration signal, the Y-axis acceleration signal and the Z-axis acceleration signal based on a second preset acquisition frequency, and calculating the resultant acceleration corresponding to the X-axis acceleration signal, the Y-axis acceleration signal and the Z-axis acceleration signal.
5. The sleep monitoring method for the wearable device as claimed in claim 3, wherein after counting the temperature-related times that the core temperature of the human body is greater than the preset temperature threshold, the method further comprises:
and if the motion related times are less than or equal to the preset motion related time threshold, determining that the wearable equipment is not in a stable state.
6. The sleep monitoring method for the wearable device as claimed in claim 1, wherein after counting the temperature-related times that the core temperature of the human body is greater than the preset temperature threshold, the method further comprises:
if the temperature-related times are greater than or equal to the preset temperature-related time threshold, determining that the wearable device is in a wearing state;
when the wearable device is in a wearing state, if the wearable device is in a sleep mode, continuously outputting the sleep mode.
7. The wearable device sleep monitoring method of claim 1, wherein after determining that the wearable device is not in a worn state, further comprising:
when the wearable device is not in a wearing state, if the wearable device is not in a sleep mode, initializing a preset sleep monitoring algorithm.
8. A wearable device sleep monitoring device, characterized in that, the wearable device sleep monitoring device includes:
the wearable device comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring the core temperature of the human body based on a first preset acquisition frequency within a first preset time when the wearable device is in a steady state and in a sleep mode;
the counting module is used for counting the temperature correlation times of the human body core temperature which is greater than a preset temperature threshold;
the first determining module is used for determining that the wearable device is not in a wearing state if the temperature-related times are smaller than a preset temperature-related time threshold;
and the exit module is used for exiting the sleep mode when the wearable equipment is not in the wearing state.
9. A wearable device comprising a memory, a processor, and a wearable device sleep monitoring program stored on the memory and executable on the processor, the wearable device sleep monitoring program when executed by the processor implementing the steps of the wearable device sleep monitoring method of any of claims 1-7.
10. A computer readable storage medium having a wearable device sleep monitoring program stored thereon, which when executed by a processor, performs the steps of the wearable device sleep monitoring method of any of claims 1-7.
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