Method, device and storage medium for monitoring sleep

Abstract

The present application relates to the technical field of sleep monitoring, and discloses a method for monitoring sleep, including: determining a target monitoring device for collecting target detection data; controlling the target monitoring device to collect target detection data; analyzing the target detection data collected by the target monitoring device to obtain sleep monitoring results. In this way, a target monitoring device with high reliability can be selected during the selection process of the sleep monitoring device, and the user's sleep analysis can be performed through the target detection data collected by the target monitoring device, thereby obtaining a more accurate sleep result, and further improving the accuracy of the user's sleep monitoring. The present application also discloses a device and storage medium for monitoring sleep.

Description

Technical Field

[0001] This application relates to the technical field of sleep monitoring, for example, to a method, device, and storage medium for monitoring sleep. Background Art

[0002] Currently, with the continuous improvement of users' living standards, users pay more and more attention to sleep monitoring. Therefore, various sleep monitoring devices have emerged. For example, smart pillows, sleep bands, etc. Taking the smart pillow as an example, the smart pillow is equipped with a piezoelectric sensor and a controller, which can detect voltage signals when the user is sleeping, and the controller can obtain the user's sleep state according to the voltage signals. However, during the process of sleep monitoring by the smart pillow, when the user is away from the smart pillow, such as when the head is away from the smart pillow, it will cause the smart pillow to be unable to obtain relatively accurate detection data, etc., resulting in relatively weak reliability of the sleep monitoring results obtained by analyzing the detection data. It can be seen that the existing in-bed sleep monitoring devices have certain usage limitations during sleep monitoring, and thus cannot obtain relatively reliable monitoring data, seriously affecting the accuracy of sleep monitoring results.

[0003] Therefore, how to obtain a more reliable sleep monitoring result has become a technical problem that needs to be solved urgently. Summary of the Invention

[0004] To have a basic understanding of some aspects of the disclosed embodiments, a simple summary is given below. The summary is not a general review, nor is it intended to identify key / important constituent elements or delineate the protection scope of these embodiments, but rather serves as a preface to the subsequent detailed description.

[0005] The embodiments of the present disclosure provide a method, device, and storage medium for monitoring sleep to provide a more reliable sleep monitoring solution.

[0006] In some embodiments, the method for monitoring sleep includes: determining a target monitoring device for collecting target detection data; controlling the target monitoring device to collect the target detection data; and analyzing the target detection data collected by the target monitoring device to obtain a sleep monitoring result.

[0007] In some embodiments, the method for monitoring sleep includes: obtaining a first detection signal within a continuous time period collected by a millimeter-wave radar monitoring device and a second detection signal within a continuous time period collected by an in-bed sleep monitoring device; and determining a target monitoring device for collecting target detection data based on the first detection signal within the continuous time period or the second detection signal within the continuous time period.

[0008] In some embodiments, the method for monitoring sleep includes: determining the state of the room based on the first detection signal within a continuous time period or the second detection signal within a continuous time period; and determining the target monitoring device for collecting target detection data as the in-bed sleep monitoring device when the state of the room indicates that there is someone in the room.

[0009] In some embodiments, the method for monitoring sleep includes: obtaining the number of signals with signal intensity higher than the first action intensity in the first detection signal within a continuous time period; determining the ratio of the number of signals to the number of time periods as the first ratio; and determining the state of the room as the occupied state when the first ratio is not less than the first threshold.

[0010] In some embodiments, the method for monitoring sleep includes: obtaining the number of signals with signal intensity higher than the second action intensity in the second detection signal within a continuous time period; determining the ratio of the number of signals to the number of time periods as the second ratio; and determining the state of the room as the occupied state when the second ratio is not less than the second threshold.

[0011] In some embodiments, the method for monitoring sleep includes: when the state of the room determined based on the second detection signal within a continuous time period is the occupied state and the state of the room determined based on the first detection signal within a continuous time period is the unoccupied state, determining the target monitoring device for collecting target detection data as the in-bed sleep monitoring device, and pushing an adjustment reminder for the millimeter-wave radar monitoring device to the user.

[0012] In some embodiments, the method for monitoring sleep includes: when the in-bed sleep monitoring device is unable to collect the second detection signal within a continuous time period, determining the target monitoring device for collecting target detection data as the millimeter-wave radar monitoring device.

[0013] In some embodiments, the method for monitoring sleep includes: when the target monitoring device detects multiple types of target detection data, analyzing each type of target detection data in sequence according to the pre-stored priority information of each type to obtain the sleep monitoring results corresponding to each type of target detection data.

[0014] In some embodiments, the device for monitoring sleep includes: a processor and a memory storing program instructions, and the processor is configured to execute the method for monitoring sleep as described above when running the program instructions.

[0015] In some embodiments, the storage medium stores program instructions, and the program instructions execute the method for monitoring sleep as described above when running.

[0016] The method, device, and storage medium for sleep monitoring provided by the embodiments of the present disclosure can achieve the following technical effects: by determining a target monitoring device for collecting target detection data; and controlling the target monitoring device to collect the target detection data; so as to analyze the target detection data collected by the target monitoring device, thereby obtaining a sleep monitoring result. In this way, a target monitoring device with relatively high reliability can be selected during the selection process of the sleep monitoring device, and the sleep analysis of the user is performed through the target detection data collected by the target monitoring device, obtaining a more accurate sleep result, and further improving the accuracy of user sleep monitoring.

[0017] The above general description and the following description are only exemplary and explanatory, and are not used to limit this application. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] One or more embodiments are exemplarily illustrated by corresponding drawings. These exemplary illustrations and the drawings do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings are shown as similar elements. The drawings do not constitute a proportional limitation, and:

[0019] Figure 1 is a schematic diagram of a method for sleep monitoring provided by an embodiment of the present disclosure;

[0020] Figure 2 is a schematic diagram of a method for determining a target monitoring device provided by an embodiment of the present disclosure;

[0021] Figure 3 is another schematic diagram of a method for determining a target monitoring device provided by an embodiment of the present disclosure;

[0022] Figure 4 is a schematic diagram of a method for determining the state of an indoor provided by an embodiment of the present disclosure;

[0023] Figure 5 is another schematic diagram of a method for determining the state of an indoor provided by an embodiment of the present disclosure;

[0024] Figure 6 is a schematic diagram of a device for sleep monitoring provided by an embodiment of the present disclosure;

[0025] Figure 7 is another schematic diagram of a device for sleep monitoring provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0026] In order to understand the features and technical content of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. The attached drawings are for reference and illustration only and are not intended to limit the embodiments of the present disclosure. In the following technical description, for the sake of explanation, numerous details are provided to give a full understanding of the disclosed embodiments. However, one or more embodiments may still be implemented without these details. In other cases, well-known structures and devices may be shown in a simplified manner to simplify the drawings.

[0027] In the specification, claims and above-mentioned drawings of the embodiments of the present disclosure, the terms "first", "second", etc. are used to distinguish similar objects and do not necessarily describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances so as to implement the embodiments of the present disclosure described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion.

[0028] Unless otherwise specified, the term "plurality" means two or more.

[0029] In the embodiments of the present disclosure, the character " / " indicates that the objects before and after are in an "or" relationship. For example, A / B means: A or B.

[0030] The term "and / or" is a description of the associated relationship of an object and indicates that three relationships can exist. For example, A and / or B means: A or B, or, A and B these three relationships.

[0031] The term "corresponding" may refer to an associated relationship or a binding relationship. A corresponding to B means that there is an associated relationship or a binding relationship between A and B.

[0032] In the embodiments of the present disclosure, the terminal device refers to an electronic device with a wireless connection function. The terminal device can communicate with intelligent home appliances by connecting to the Internet, or can directly communicate with intelligent home appliances by means of Bluetooth, wifi, etc. In some embodiments, the terminal device is, for example, a mobile device, a computer, or an in-vehicle device built into a hovering vehicle, etc., or any combination thereof. The mobile device can, for example, include a mobile phone, a smart home device, a wearable device, a smart mobile device, a virtual reality device, etc., or any combination thereof, wherein the wearable device includes, for example: a smart watch, a smart bracelet, a pedometer, etc.

[0033] Figure 1 is a schematic diagram of a method for monitoring sleep provided by the embodiments of the present disclosure; combined with Figure 1 As shown, the embodiments of the present disclosure provide a method for monitoring sleep, including:

[0034] S11, the terminal device determines a target monitoring device for collecting target detection data.

[0035] S12, the terminal device controls the target monitoring device to collect target detection data.

[0036] S13, the terminal device analyzes the target detection data collected by the target monitoring device to obtain a sleep monitoring result.

[0037] In this solution, the terminal device can determine the target monitoring device for collecting target detection data from multiple sleep monitoring devices in the room. Here, the target detection data is one or more of body motion signals, heart rate, and breathing rate. Multiple sleep monitoring devices may include millimeter wave radar monitoring devices and bed sleep monitoring devices. Among them, the bed sleep monitoring device may be a smart pillow or a sleep belt. Both the millimeter wave radar monitoring device and the bed sleep monitoring device can monitor the user's body motion signals, and the bed sleep monitoring device can also detect changes in pressure values ​​such as the rise and fall of the chest and the beating of the pulse during sleep, so that detection data such as breathing and heart rate can be obtained. Further, after determining the target monitoring device for collecting target detection data, the target monitoring device can be controlled to collect target detection data. That is, the target monitoring device can collect the user's body motion signals, breathing, heart rate and other detection data. In this way, after the target monitoring device collects the target detection data, the collected target detection data can be analyzed to obtain a more reliable sleep monitoring result. In one example, multiple sleep analysis algorithms can be pre-stored in the terminal device, and the target detection data can be analyzed in combination with multiple sleep analysis algorithms to obtain sleep monitoring results, further improving the accuracy of sleep monitoring.

[0038] The method for monitoring sleep provided by the embodiment of the present disclosure is adopted, by determining the target monitoring device for collecting target detection data; and controlling the target monitoring device to collect target detection data; so as to analyze the target detection data collected by the target monitoring device, thereby obtaining a sleep monitoring result. In this way, a target monitoring device with strong reliability can be selected during the selection process of the sleep monitoring device, and the user's sleep analysis can be performed through the target detection data collected by the target monitoring device, thereby obtaining a more accurate sleep result, and further improving the accuracy of the user's sleep monitoring.

[0039] Figure 2 is a schematic diagram of a method for determining a target monitoring device provided by an embodiment of the present disclosure; Figure 2 As shown, optionally, in S11, the terminal device determines a target monitoring device for collecting target detection data, including:

[0040] S21, the terminal device obtains a first detection signal within a continuous time period collected by a millimeter-wave radar monitoring device and a second detection signal within a continuous time period collected by a bed sleep monitoring device.

[0041] S22, the terminal device determines a target monitoring device for collecting target detection data based on the first detection signal within the continuous time period or the second detection signal within the continuous time period.

[0042] In this solution, the terminal device obtains a first detection signal within a continuous time period collected by a millimeter-wave radar monitoring device. Here, the first detection signal can be a body movement signal. The continuous time period can be multiple adjacent cycles from a previous moment to the current moment. For example, if the continuous time period contains 5 cycles, the terminal device can obtain the body movement signals within 5 cycles collected by the millimeter-wave radar monitoring device from the previous moment to the current moment. Additionally, the terminal device can also obtain a second detection signal within a continuous time period collected by a bed sleep monitoring device. Here, the second detection signal can be a body movement signal. The signal types of the first detection signal and the second detection signal are the same, but the signal sources are different. Further, after the terminal device obtains the first detection signal within the continuous time period collected by the millimeter-wave radar monitoring device and the second detection signal within the continuous time period collected by the bed sleep monitoring device, it can determine a target monitoring device for collecting target detection data based on the first detection signal within the continuous time period or the second detection signal within the continuous time period. Here, there are two cases: that is, it can determine a target monitoring device for collecting target detection data based on the first detection signal within the continuous time period. It can also determine a target monitoring device for collecting target detection data based on the second detection signal within the continuous time period. In this way, a target monitoring device with higher reliability can be determined through various methods to ensure the accuracy of detecting data collection.

[0043] Figure 3 is another schematic diagram of a method for determining a target monitoring device provided by an embodiment of the present disclosure; in combination with Figure 3 shown, optionally, S22, the terminal device determines a target monitoring device for collecting target detection data based on the first detection signal within the continuous time period or the second detection signal within the continuous time period, including:

[0044] S31, the terminal device determines the state of the room based on the first detection signal within the continuous time period or the second detection signal within the continuous time period.

[0045] S32, when the state of the room indicates that there is someone in the room, the terminal device determines that the target monitoring device for collecting target detection data is a bed sleep monitoring device.

[0046] In this solution, the terminal device can determine the indoor state based on the first detection signal within a continuous time period or the second detection signal within a continuous time period. Here, the indoor state can include an occupied state or an unoccupied state. Understandably, the millimeter-wave radar monitoring device can be used for monitoring user body movement signals and has characteristics such as a long monitoring distance and a wide monitoring range. Therefore, it is possible to determine whether there is someone in the room by combining the first detection signal within a continuous time period collected by the millimeter-wave radar monitoring device. Similarly, when the user approaches the bed sleep device, the pressure change captured by the bed sleep device can be used to identify the user's body movement signal, and when it is determined that the user is in bed, it is determined that there is someone in the room. Therefore, it is possible to determine whether there is someone in the room by combining the second detection signal within a continuous time period collected by the bed sleep device. Further, when the indoor state indicates that there is someone in the room, the target monitoring device for collecting target detection data is determined to be the bed sleep monitoring device. In this way, when the millimeter-wave radar monitoring device and / or the bed sleep monitoring device determines that there is someone in the room, the bed sleep monitoring device with stronger close-range monitoring advantages can be used as the target monitoring device for collecting target detection data to obtain more reliable detection data.

[0047] Figure 4 is a schematic diagram of a method for determining the indoor state provided by an embodiment of the present disclosure; in combination with Figure 4 As shown, in S31, the terminal device determines the indoor state based on the first detection signal within a continuous time period or the second detection signal within a continuous time period, including:

[0048] In S41, the terminal device obtains the number of signals in the first detection signal within a continuous time period whose signal strength is higher than the first action strength.

[0049] In S42, the terminal device determines the ratio of the number of signals to the number of time periods as the first ratio.

[0050] In S43, when the first ratio is not less than the first threshold, the terminal device determines the indoor state as the occupied state.

[0051] In this solution, the first detection signal can be a body movement signal. Here, the signal strength of the body movement signal can be characterized by the number of micro-movement triggers within a unit time. Specifically, the terminal device can obtain the number of signals with a signal strength higher than the first action strength in the first detection signal of the millimeter-wave radar monitoring device within a continuous time period, and determine the ratio of the number of signals to the number of time periods as the first ratio. For example, if there are 30 body movement signals within a continuous time period, the first action strength is 18, and the number of time periods is 10, then after screening out 5 body movement signals with a signal strength higher than 18 among the 30 body movement signals, the first ratio can be determined as 5 / 10 = 1 / 2. Further, the state of the indoor environment can be determined in combination with the already determined first ratio. Specifically, when the first ratio is not less than the first threshold, it can be determined that the state of the indoor environment detected by the millimeter-wave radar monitoring device is an occupied state. When the first ratio is less than the first threshold, it can be determined that the state of the indoor environment detected by the millimeter-wave radar monitoring device is an unoccupied state. As an example, the first threshold can be 0.8. In this way, it is possible to accurately determine whether there is someone in the indoor environment by combining the body movement signals detected by the millimeter-wave radar monitoring device, providing an accurate data basis for the determination of the target monitoring device.

[0052] Figure 5 is a schematic diagram of another method provided by an embodiment of the present disclosure for determining the state of the indoor environment; in combination with Figure 5 As shown, in S31, the terminal device determines the state of the indoor environment based on the second detection signal within a continuous time period, including:

[0053] In S51, the terminal device obtains the number of signals with a signal strength higher than the second action strength in the second detection signal within a continuous time period.

[0054] In S52, the terminal device determines the ratio of the number of signals to the number of time periods as the second ratio.

[0055] In S53, when the second ratio is not less than the second threshold, the terminal device determines that the state of the indoor environment is an occupied state.

[0056] In this solution, the second detection signal can be a body movement signal. Here, the signal strength of the body movement signal can be characterized by the number of micro-movement triggers within a unit time. Specifically, the terminal device can obtain the number of signals in the second detection signal with a signal strength higher than the second movement strength within a continuous time period of the in-bed sleep monitoring device, and determine the ratio of the number of signals to the number of time periods as the second ratio. For example, if there are 50 body movement signals within a continuous time period, the second movement strength is 300, and the number of time periods is 20, then after screening out that 15 out of the 50 body movement signals have a signal strength higher than 300, the second ratio can be determined as 15 / 20 = 3 / 4. Further, the state of the room can be determined in combination with the determined second ratio. Specifically, when the second ratio is not less than the second threshold, it can be determined that the in-bed sleep monitoring device detects that there is someone in the bed, that is, the state of the room is an occupied state. When the second ratio is less than the second threshold, it can be determined that the in-bed sleep monitoring device detects that there is no one in the bed, and the state of the room is an unoccupied state. As an example, the second threshold can be 0.6. In this way, it is possible to accurately judge whether there is someone in the bed by combining the body movement signals detected by the in-bed sleep monitoring device, and thus it is possible to further determine whether there is someone in the room, providing an accurate data basis for the determination of the target monitoring device.

[0057] Optionally, when the state of the room determined based on the second detection signal within a continuous time period is an occupied state and the state of the room determined based on the first detection signal within a continuous time period is an unoccupied state, the terminal device determines the in-bed sleep monitoring device as the target monitoring device for collecting target detection data, and pushes an adjustment reminder for the millimeter-wave radar monitoring device to the user.

[0058] In this embodiment, if the state of the room determined based on the second detection signal within a continuous time period collected by the in-bed sleep monitoring device is an occupied state, and the state of the room determined based on the first detection signal within a continuous time period collected by the millimeter-wave radar monitoring device is an unoccupied state, it can be determined that the detection result of the in-bed sleep monitoring device is inconsistent with the detection result of the millimeter-wave radar monitoring device. Understandably, in order to ensure the accuracy of the detection result, the detection result of the in-bed sleep monitoring device with stronger close-range monitoring advantages can be trusted more. Thus, the terminal device can determine the in-bed sleep monitoring device as the target monitoring device for collecting target detection data.

[0059] In an optimized solution, to more accurately determine whether the detection result of the in-bed sleep monitoring device is consistent with that of the millimeter-wave radar monitoring device, the consideration dimension of the cumulative time can be added. For example, if the cumulative duration of the indoor state determined to be the occupied state based on the second detection signal within the continuous time period collected by the in-bed sleep monitoring device exceeds the first duration threshold, and the cumulative duration of the indoor state determined to be the unoccupied state based on the first detection signal within the continuous time period collected by the millimeter-wave radar monitoring device also exceeds the first duration threshold, it can be determined that the detection result of the in-bed sleep monitoring device is not consistent with that of the millimeter-wave radar monitoring device. As an example, the first duration threshold can be 30 minutes. In this way, it is possible to further accurately determine whether the detection result of the in-bed sleep monitoring device is consistent with that of the millimeter-wave radar monitoring device by combining the time dimension.

[0060] Furthermore, to solve the problem of inconsistent detection results of different monitoring devices, when it is determined that the target monitoring device for collecting target detection data is the in-bed sleep monitoring device, the terminal device can push an adjustment reminder for the millimeter-wave radar monitoring device to the user to remind the user to adjust the millimeter-wave radar monitoring device, thereby improving the detection accuracy of the millimeter-wave radar monitoring device. Specifically, the terminal device can first determine the influencing factors that cause the inaccurate detection result of the millimeter-wave radar monitoring device. Here, the influencing factors can include the presence of metal or liquid blockages between the millimeter-wave radar monitoring device and the in-bed sleep monitoring device, etc. In this way, the adjustment reminder for the millimeter-wave radar monitoring device pushed to the user can include reminding the user to adjust the placement angle of the millimeter-wave radar monitoring device to make it opposite to the in-bed sleep monitoring device, or appropriately reducing the distance between the millimeter-wave radar monitoring device and the in-bed sleep monitoring device, etc. With this solution, the monitoring accuracy of the millimeter-wave radar monitoring device can be effectively improved to make its detection result consistent with that of the in-bed sleep monitoring device, so as to ensure the reliability of the output detection result.

[0061] Optionally, when the in-bed sleep monitoring device is unable to collect the second detection signal within the continuous time period, the terminal device determines that the target monitoring device for collecting target detection data is the millimeter-wave radar monitoring device.

[0062] In this embodiment, when the lying position of the user does not match the in-bed sleep monitoring device, the in-bed sleep monitoring device cannot collect the second detection signal within a continuous time period. In this case, relying solely on the in-bed sleep monitoring device cannot achieve all-round sleep monitoring of the user. Therefore, the wide-area monitoring characteristics of the millimeter-wave radar monitoring device can be combined. When the in-bed sleep monitoring device cannot collect the body movement signal, breathing, and heart rate of the user, the terminal device determines that the target monitoring device for collecting target detection data is the millimeter-wave radar monitoring device, so as to make up for the disadvantages that the in-bed sleep monitoring device cannot collect by running the millimeter-wave radar monitoring device, so as to replace the in-bed sleep monitoring device to perform all-round sleep monitoring on the user. Further, when the in-bed sleep monitoring device can detect the body movement signal of the user, the target monitoring device for collecting target detection data can be switched back to the in-bed sleep monitoring device again, providing more reliable sleep monitoring for the user.

[0063] Optionally, in S13, the terminal device analyzes the target detection data collected by the target monitoring device to obtain a sleep monitoring result, including:

[0064] When the target monitoring device detects multiple types of target detection data, the terminal device analyzes each type of target detection data in turn according to the pre-stored priority information of each type to obtain the sleep monitoring result corresponding to each type of target detection data.

[0065] In this solution, multiple sleep analysis algorithms can be pre-stored in the terminal device. For example, the multiple sleep analysis algorithms can include a breathing analysis algorithm, a heart rate analysis algorithm, a body movement analysis algorithm, etc. The priority information of each type can also be pre-stored in the terminal device. For example, the priority information of each type can be heart rate > breathing > body movement signal. Specifically, when the target monitoring device detects multiple types of target detection data, the terminal device analyzes each type of target detection data in turn according to the pre-stored priority information of each type. Here, the target detection data can be analyzed in the order from high to low priority. With this solution, the detection results obtained by the determined target monitoring device can be combined for analysis to obtain a more accurate sleep result, further improving the accuracy of user sleep monitoring.

[0066] The present disclosure embodiment also provides a method for judging a user's state by combining multiple monitoring devices. Specifically, it includes: obtaining the first detection signal within a continuous time period collected by the millimeter-wave radar monitoring device and the second detection signal within a continuous time period collected by the in-bed sleep monitoring device; determining the state of the user based on the first detection signal within a continuous time period collected by the millimeter-wave radar monitoring device and the second detection signal within a continuous time period collected by the in-bed sleep monitoring device.

[0067] In this solution, the method for judging the user's state may include the following four situations: The first situation: If the first detection signal within a continuous time period collected by the millimeter-wave radar monitoring device indicates that there is someone in the room, and the second detection signal within a continuous time period collected by the in-bed sleep monitoring device indicates that there is no one in the bed, then it is determined that the user's state is the office or rest state in the non-bed area. The second situation: If the first detection signal within a continuous time period collected by the millimeter-wave radar monitoring device indicates that there is someone in the room, and the second detection signal within a continuous time period collected by the in-bed sleep monitoring device indicates that there is someone in the bed, then it is determined that the user's state is the in-bed state. The third situation: If the first detection signal within a continuous time period collected by the millimeter-wave radar monitoring device indicates that there is no one in the room, and the second detection signal within a continuous time period collected by the in-bed sleep monitoring device indicates that there is someone in the bed, then it is determined that the user's state is the in-bed state, and the user can be prompted to perform adjustment operations on the millimeter-wave radar monitoring device. The fourth situation: If the first detection signal within a continuous time period collected by the millimeter-wave radar monitoring device indicates that there is no one in the room, and the second detection signal within a continuous time period collected by the in-bed sleep monitoring device indicates that there is no one in the bed, then it is determined that the user's state is not in the monitored area. Here, the judgment method for the second detection signal within a continuous time period collected by the in-bed sleep monitoring device indicating that there is someone in the bed is consistent with the judgment method for the second detection signal within a continuous time period collected by the in-bed sleep monitoring device indicating that there is someone in the room provided above. With this solution, it is possible to accurately judge the user's state by combining the detection results of multiple monitoring devices, so as to avoid misjudging similar body movement signals as the user's in-bed state, and provide a relatively accurate detection result for the user.

[0068] Optionally, in the case where neither the millimeter-wave radar monitoring device nor the in-bed sleep monitoring device can detect the user's heart rate and respiration, the target monitoring device can be determined as the in-bed sleep monitoring device, and the sleep analysis of the user can be performed according to the body movement signals detected by the in-bed sleep monitoring device. And in the case where the in-bed sleep monitoring device detects the user's heart rate and respiration again, the sleep analysis is performed according to the analysis algorithms corresponding to the user's heart rate and respiration respectively. In this way, through the switching of different detection data types, a comprehensive sleep analysis service is provided for the user.

[0069] Figure 6 is a schematic diagram of a device for monitoring sleep provided by an embodiment of the present disclosure; in combination with Figure 6As shown in the figure, an embodiment of the present disclosure provides a device for monitoring sleep, including a determination module 61, a control module 62, and an analysis module 63. The determination module 61 is configured to determine a target monitoring device for collecting target detection data; the control module 62 is configured to control the target monitoring device to collect the target detection data; and the analysis module 63 is configured to analyze the target detection data collected by the target monitoring device to obtain a sleep monitoring result.

[0070] By using the device for monitoring sleep provided by the embodiment of the present disclosure, a target monitoring device for collecting target detection data is determined; and the target monitoring device is controlled to collect the target detection data; so as to analyze the target detection data collected by the target monitoring device, thereby obtaining a sleep monitoring result. In this way, a target monitoring device with relatively high reliability can be selected during the selection process of the sleep monitoring device, and the sleep analysis of the user can be performed through the target detection data collected by the target monitoring device, obtaining a more accurate sleep result, and further improving the accuracy of user sleep monitoring.

[0071] Figure 7 is a schematic diagram of another device for monitoring sleep provided by the embodiment of the present disclosure; combined with Figure 7 As shown in the figure, an embodiment of the present disclosure provides a device for monitoring sleep, including a processor 100 and a memory 101. Optionally, the device may further include a communication interface 102 and a bus 103. Among them, the processor 100, the communication interface 102, and the memory 101 can complete mutual communication through the bus 103. The communication interface 102 can be used for information transmission. The processor 100 can call the logical instructions in the memory 101 to execute the method for monitoring sleep in the above embodiment.

[0072] In addition, when the logical instructions in the above-mentioned memory 101 are implemented in the form of a software functional unit and sold or used as an independent product, they can be stored in a computer-readable storage medium.

[0073] The memory 101, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of the present disclosure. The processor 100 executes functional applications and data processing by running the program instructions / modules stored in the memory 101, that is, implements the method for monitoring sleep in the above embodiment.

[0074] The memory 101 may include a program storage area and a data storage area. Among them, the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created according to the use of the terminal device, etc. In addition, the memory 101 may include a high-speed random access memory and may also include a non-volatile memory.

[0075] Embodiments of the present disclosure provide a computer-readable storage medium storing computer-executable instructions, and the computer-executable instructions are configured to execute the above method for monitoring sleep.

[0076] Embodiments of the present disclosure provide a computer program product. The computer program product includes a computer program stored on a computer-readable storage medium. The computer program includes program instructions, and when the program instructions are executed by a computer, the computer is caused to execute the above method for monitoring sleep.

[0077] The above computer-readable storage medium may be a transient computer-readable storage medium or a non-transient computer-readable storage medium.

[0078] The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product. The computer software product is stored in a storage medium and includes one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiments of the present disclosure. The foregoing storage medium may be a non-transient storage medium, including: various media such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disc that can store program codes, or may also be a transient storage medium.

[0079] The above description and the accompanying drawings fully illustrate the embodiments of the present disclosure, enabling those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, process, and other changes. The embodiments merely represent possible variations. Unless explicitly required, individual components and functions are optional, and the order of operations may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the terms used in this application are only for describing the embodiments and do not limit the claims. As used in the description of the embodiments and the claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to also include the plural forms. Similarly, as used in this application, the term "and / or" refers to any and all possible combinations of one or more of the associated listed items. Additionally, when used in this application, the term "comprise" and its variants "comprises" and / or "comprising" etc. mean the presence of the stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or groups thereof. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, or apparatus comprising the element. Herein, each embodiment may focus on the differences from other embodiments, and the same or similar parts among the embodiments may be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method parts disclosed in the embodiments, the relevant parts may refer to the description of the method parts.

[0080] Those skilled in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner may depend on the specific application and design constraints of the technical solution. The skilled person may use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the embodiments of the present disclosure. The skilled person can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0081] In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units may be only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the displayed or discussed coupling or direct coupling or communication connection between each other may be through some interfaces. The indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms. The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to implement this embodiment. Additionally, in the embodiments of the present disclosure, the various functional units can be integrated in one processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0082] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing the specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than that disclosed in the description. Sometimes, there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. Each block in the block diagram and / or flowchart, as well as the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A method for monitoring sleep, characterized in that, Including: Determine a target monitoring device for collecting target detection data; Control the target monitoring device to collect the target detection data; Analyze the target detection data collected by the target monitoring device to obtain a sleep monitoring result; The determining the target monitoring device for collecting target detection data includes: Obtain a first detection signal within a continuous time period collected by a millimeter-wave radar monitoring device and a second detection signal within a continuous time period collected by a bed sleep monitoring device; Based on the first detection signal within the continuous time period or the second detection signal within the continuous time period, determine the target monitoring device for collecting target detection data.

2. The method according to claim 1, wherein The determining the target monitoring device for collecting target detection data based on the first detection signal within the continuous time period or the second detection signal within the continuous time period includes: Based on the first detection signal within the continuous time period or the second detection signal within the continuous time period, determine the state of the interior; When the state of the interior indicates that there is someone in the interior, determine the target monitoring device for collecting target detection data as the bed sleep monitoring device.

3. The method according to claim 2, wherein Based on the first detection signal within the continuous time period, determining the state of the interior includes: Obtain the number of signals with a signal strength higher than a first action strength in the first detection signal within the continuous time period; Determine the ratio of the number of signals to the number of time periods as a first ratio; When the first ratio is not less than a first threshold, determine the state of the interior as a state with someone.

4. The method according to claim 2, wherein The determining the target monitoring device for collecting target detection data based on the second detection signal within the continuous time period includes: Obtain the number of signals with a signal strength higher than a second action strength in the second detection signal within the continuous time period; Determine the ratio of the number of signals to the number of time periods as a second ratio; When the second ratio is not less than a second threshold, determine the state of the interior as a state with someone.

5. The method according to any one of claims 2 to 4, characterized in that The method further includes: When the state of the interior determined based on the second detection signal within the continuous time period is a state with someone and the state of the interior determined based on the first detection signal within the continuous time period is a state without someone, determine the target monitoring device for collecting target detection data as the bed sleep monitoring device, and push an adjustment reminder for the millimeter-wave radar monitoring device to the user.

6. The method according to claim 1, wherein Including: When the bed sleep monitoring device is unable to collect the second detection signal within a continuous time period, determine the target monitoring device for collecting target detection data as the millimeter-wave radar monitoring device.

7. The method according to claim 1, wherein The analyzing the target detection data collected by the target monitoring device to obtain a sleep monitoring result includes: When the target monitoring device detects multiple types of target detection data, according to the pre-stored priority information of each type, analyze each type of target detection data in turn to obtain a sleep monitoring result corresponding to each type of target detection data.

8. A device for monitoring sleep, comprising a processor and a memory storing program instructions, characterized in that, The processor is configured to execute the method for monitoring sleep according to any one of claims 1 to 7 when running the program instructions.

9. A storage medium stores program instructions, characterized in that, When the program instructions are running, they execute the method for monitoring sleep according to any one of claims 1 to 7.

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