CN111227791A - Sleep quality monitoring method and sleep monitoring device - Google Patents
Sleep quality monitoring method and sleep monitoring device Download PDFInfo
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Abstract
The invention relates to a sleep quality monitoring method and a sleep monitoring device, which continuously acquire sound information and image information in a monitored object sleep room within a preset sleep monitoring time period; analyzing and identifying the sound and image information to obtain the sound and image information of the monitored object; acquiring characteristic parameters related to the sleep state of the monitored object according to the sound and image information of the monitored object; the sleep quality of the monitored object is analyzed according to the characteristic parameters, the result is transmitted to the monitored object, the sleep state and/or the sleep quality and/or the physical health condition of the monitored object are monitored and analyzed, the monitored object is visually displayed, and the monitored object is helped to adjust and/or improve the sleep state and/or the sleep quality of the monitored object.
Description
Technical Field
The invention relates to a monitoring method and a sleep monitoring device, in particular to a sleep quality monitoring method and a sleep monitoring device.
Background
The sleep plays an important role for human bodies, about 1/3 time of a person in a lifetime passes in sleep, and problems in sleep health can cause a lot of unexpected consequences, such as headache, anxiety, immunity degradation and the like.
Disclosure of Invention
In view of the above, the present invention provides a sleep quality monitoring method and a sleep monitoring apparatus, which analyze the sleep quality by collecting and recognizing the sound and the posture information of the limbs in the sleep room of the monitored object, and by establishing a sleep quality model, analyze the health status on the basis of the analysis, and pertinently provide a health care suggestion, which is visually displayed to the user, so as to bring the attention and the attention of the user to the sleep quality, specifically,
a sleep quality monitoring method comprises the following steps:
s1: continuously acquiring sound information and limb posture information in a monitored object sleeping room within a preset sleep monitoring time period;
s2: analyzing and identifying the sound and image information to obtain the sound and limb posture information of the monitored object;
s3: acquiring characteristic parameters related to the sleep state of the monitored object according to the sound and the body posture information of the monitored object;
s4: and analyzing the sleep quality of the monitored object according to the characteristic parameters, and transmitting the result to the monitored object.
Preferably, in step S4, the method for analyzing the sleep quality of the monitored object according to the characteristic parameters includes: and establishing a sleep model of the monitored object according to the characteristic parameters, drawing a sleep curve of a preset sleep time period, and comparing the sleep curve with the set sleep curve to obtain the sleep quality of the monitored object.
Preferably, step S4 further includes analyzing the physical health status of the monitored subject based on the characteristic parameters affecting the sleep status of the monitored subject and the sleep quality, matching the corresponding health care advice with respect to the physical health status of the user, and transmitting the health care advice to the monitored subject.
Preferably, in step S1, the sound information includes a respiratory sound, a snoring sound, a night action sound and a speaking sound generated in the sleeping room of the monitored subject; the limb posture information comprises limb posture information in a sleeping room of the monitored object.
Preferably, in step S1, the analyzing and recognizing content of the sound information includes a tone and/or a sound of the sound; the limb action recognition content comprises a limb action mode of the monitored object.
Preferably, in step S3, the characteristic parameters include breathing frequency, snoring frequency, number of turning actions, and number of overnight actions.
Preferably, in step S2, the voice information is recognized by: and carrying out big data training on the acquired sound information based on a neural network algorithm to carry out recognition.
Preferably, in step S2, the method for identifying the limb movement pattern of the monitored object is: and identifying the limb action mode of the monitored object based on the channel state information.
The invention also provides a sleep monitoring device and adopts the method provided by the invention.
Preferably, the sleep monitoring device comprises a voice acquisition module, an image acquisition module, an information processing module and a display module, wherein,
the voice acquisition module is used for acquiring sound information in a sleeping room of the monitored object;
the posture acquisition module is used for acquiring limb action information in a sleeping room of the monitored object;
the information processing module is used for identifying sound information and image information of the monitored object, acquiring characteristic information related to the sleep state of the monitored object, analyzing the sleep quality of the monitored object, analyzing the body health condition of the monitored object and matching corresponding health maintenance suggestions according to the body health condition of the monitored object.
And the display module is used for displaying the sleep quality analysis result, the physical health condition and the health maintenance suggestion to the monitored object.
Preferably, the sleep monitoring device automatically adjusts the brightness of the display module according to the ambient light and the limb movement of the monitored object.
The invention provides a sleep quality monitoring method and a sleep monitoring device, wherein a voice acquisition module and a posture acquisition module are adopted to acquire sound and limb posture information of a user during sleep, an information processing module is utilized to identify the sound and the limb posture information, a sleep quality evaluation model is established, the sleep quality of the user is analyzed, the physical health condition of the user is analyzed, a corresponding health maintenance suggestion is matched, and the sleep quality suggestion is visually displayed to the user through a display module, so that the attention and the attention of the user to the sleep quality are aroused, and the problem that the sleep related data of the user cannot be visually displayed to the user in the prior art is solved.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings. The drawings described below are merely some embodiments of the present disclosure, and other drawings may be derived from those drawings by those of ordinary skill in the art without inventive effort.
FIG. 1 is a schematic control flow chart of embodiment 1 of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings.
While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art so that they can be readily implemented by those skilled in the art. As can be readily understood by those skilled in the art to which the present invention pertains, the embodiments to be described later may be modified into various forms without departing from the concept and scope of the present invention. Wherever possible, the same reference numbers will be used throughout the drawings to refer to the same or like parts.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the singular forms "a", "an" and "the" include plural forms as well, unless the contrary is expressly stated. The term "comprising" as used in the specification embodies particular features, regions, constants, steps, actions, elements and/or components and does not exclude the presence or addition of other particular features, regions, constants, steps, actions, elements, components and/or groups.
All terms including technical and scientific terms used hereinafter have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms defined in dictionaries are to be interpreted as meanings complied with in the relevant technical documents and the present disclosure, and cannot be interpreted as having a very formal meaning without definition.
Example 1:
as shown in fig. 1, the present embodiment provides a sleep quality monitoring method, which implements monitoring and directly feeding back sleep quality of a monitored object within a preset sleep time by a sleep monitoring device, and draws attention of the monitored object on the sleep quality, specifically, the method includes the following steps:
s1: and continuously acquiring sound information and human body posture information in a monitored object sleeping room within a preset sleep monitoring time period.
The preset sleep monitoring time period refers to a time period when the monitored object is in a sleep state, and the preset sleep monitoring time period can be set by the monitored object, or preset by a system and/or a device implementing the monitoring function.
Preferably, the sound information includes breath sound, snoring sound, night action sound and talking sound generated in a sleeping room of the monitored object; the body posture information includes limb posture information of the monitored object.
Preferably, the sound acquisition mode is as follows: the voice module collects the sound in the monitored room and transmits the sound to the information processing module.
Preferably, the acquiring of the human body posture information includes acquiring the human body posture information based on a visual image and/or based on a human body posture sensor and/or based on a wireless network, wherein the acquiring of the human body posture information based on the visual image is to acquire an image in a room to be monitored by an image module and transmit the image to an information processing module. Preferably, the image module comprises a camera, and further preferably, the camera is preferably a binocular camera, so that images in the monitored room can be tracked, and more accurate information can be identified according to the obtained images.
The human body posture information acquisition based on the human body posture sensor means that a monitored object wears a miniature sensor which can acquire human body motion data information, and the human body posture information is obtained by converting the distance change between a human body and the sensor into signal phase change.
Acquiring the human body posture information based on the wireless network means acquiring the human body posture information based on a wireless network depicting a sensing environment, wherein the sensing basis based on the wireless network depicting the sensing environment comprises Received Signal Strength Indication (RSSI) and Channel State Information (CSI).
Channel State Information (CSI), which is a channel attribute of a communication link in the field of wireless communication, describes an attenuation factor of a signal on each transmission path, i.e., a value of each element in a channel gain matrix H, such as signal scattering, environmental attenuation, distance attenuation, and the like, can adapt a communication system to a current channel condition, and provides guarantee for high-reliability and high-rate communication in a multi-antenna system. The Channel State Information (CSI) reflects the frequency response of a physical layer channel of a wireless link, and comprises amplitude and phase dual information, the time resolution of the Channel State Information (CSI) is the scale of a multipath signal cluster, and in a WIFI system, the resolution of the Channel State Information (CSI) is deep to the scale of a subcarrier, so that the Channel State Information (CSI) has a higher dimension, finer granularity, higher robustness and higher stability compared with the Received Signal Strength Indication (RSSI). Therefore, in the present embodiment, it is preferable to acquire the body posture information through the Channel State Information (CSI).
Preferably, before the step S1 is executed, the method further includes acquiring physiological basic information of the monitored object and the illumination information of the sleep environment, wherein the physiological basic information of the monitored object includes age, sex, height and weight, and the physiological basic information can be uploaded by the monitored object and then stored in the storage module; the illumination information of the sleeping environment can be detected by the light sensor, and then the detected result is stored in the storage module.
S2: and analyzing and recognizing the sound and human body posture information to acquire the sound and human body action information related to the monitored object.
The sound identification is carried out in an information processing module, and the information processing module can carry out big data training on the collected sound based on a neural network algorithm to carry out identification. Preferably, all the collected sounds need to be denoised before the sounds are identified, so as to eliminate noise without identification meaning.
Preferably, the content of the identification sound information includes a tone and/or a sound of the sound. Based on the voice recognition, the types of the voice including the breathing sound, the snoring sound and the speaking sound can be known, and further, the time and the frequency of the voice of the monitored object can be known.
Further preferably, the voice recognition further includes voiceprint recognition, and the object which emits the sound can be known through the voiceprint recognition, and further whether the sound is emitted by the monitored object can be known, so that the sound emitted by the monitored object can be distinguished from the sound emitted by other objects.
The human body action identification is carried out in an information processing module, the information processing module identifies the human body action of the monitored object based on Channel State Information (CSI), and the identification process of the identification method comprises the following steps: data preprocessing, namely acquiring Channel State Information (CSI) data which can represent human body behaviors most based on a self-adaptive weighted fusion algorithm and a local abnormal factor algorithm; extracting characteristic information in the behavior identification process, and extracting two characteristics of wavelet energy and wavelet energy difference of different scales based on discrete wavelet transformation so as to solve the problems of position change of a human body and behavior difference of the human body; and (3) human body action recognition, namely recognizing the human body action based on characteristic information and an artificial intelligence learning algorithm in the action recognition process.
The action mode, action time and action times of the monitored object can be known through human body action recognition, wherein the action mode comprises turning over and getting up at night.
Preferably, the information processing module stores the recognition result in the storage module after completing the recognition of the voice information and the human body action.
S3: and acquiring characteristic parameters related to the sleep state of the monitored object according to the sound and the limb action information of the monitored object.
The information processing module further determines characteristic parameters influencing the sleep state based on the results of the voice recognition and the human body action recognition.
Preferably, the characteristic parameters affecting the sleep state include a breathing frequency, a snoring frequency, a number of turning actions and a number of overnight actions.
S4: and analyzing the sleep quality of the monitored object according to the characteristic parameters, and transmitting the result to the monitored object.
Preferably, in step S4, the method for analyzing the sleep quality of the monitored object according to the characteristic parameters includes: and establishing a sleep model of the monitored object according to the characteristic parameters, drawing a sleep state curve of a preset sleep time period, and comparing the sleep state curve with the set sleep state curve to obtain the sleep quality of the monitored object.
Establishing a sleep information database of the monitored object based on the characteristic parameters influencing the sleep state, establishing a sleep model of the monitored object on the basis, analyzing the sleep state of the monitored object, and drawing a corresponding sleep state curve according to the sleep state distribution conditions of the monitored object in different sleep time periods. Preferably, the sleep model is periodically updated according to the increase of the information in the sleep information database.
Preferably, the manner of analyzing the sleep state of the monitored object based on the sleep model of the monitored object is as follows: and designing a corresponding membership function based on a fuzzy logic theory to analyze the sleep state of the monitored object, wherein the sleep state comprises a waking state, a shallow sleep state and a deep sleep state.
Preferably, the set sleep state curve may be customized by the monitored object according to the sleep condition of the monitored object, or may be formulated according to medical standards.
The embodiment may further preferably analyze the sleep quality of the monitored object according to the physiological basic information of the monitored object, the sleep environment illumination information and the sleep state of the monitored object.
Judging and scoring the sleep quality according to the sleep state distribution conditions of the monitored object in different sleep time periods by combining physiological basic information and the sleep environment illumination information, and comparing the judging and scoring result of the sleep quality with a preset sleep quality scoring system to obtain the quality of the sleep of the monitored object, wherein the preset sleep quality scoring system can be self-defined by the monitored object according to the sleep condition of the monitored object and can also be formulated according to medical standards.
Preferably, the content displayed to the monitored object includes a sleep state curve, a sleep quality evaluation result, and a characteristic affecting the sleep state and a corresponding characteristic parameter value thereof.
Preferably, step S4 further includes analyzing the physical health status of the monitored subject based on the characteristic parameters affecting the sleep status of the monitored subject and the sleep quality, matching the corresponding health care advice with respect to the physical health status of the user, and transmitting the health care advice to the monitored subject.
The characteristic parameters of the sleep state, the sleep quality and the medical information are correlated, the physical health condition of the monitored object is judged, and a corresponding health maintenance suggestion is matched on a database or a server according to the physical health condition of the monitored object, so that the monitored object can adjust and improve the sleep state, the sleep quality and the physical health condition of the monitored object according to the suggestion.
Because the sleep characteristic parameters and the sleep quality are associated with the sleep diseases, whether the monitored object has the sleep diseases in some aspect can be analyzed by analyzing the sleep characteristic parameters and the sleep quality of the monitored object, and specifically, the characteristic such as bruxism can be used for analyzing bruxism; the turn-over action times (leg action times) can be used for analyzing restless leg syndrome; the sleep time and sleep state can be used for analyzing narcolepsy and periodic somnolence; the frequency of breathing can be used to analyze sleep apnea. Furthermore, the monitored object can be prompted to feed back the physical state and the mental state of the monitored object in the daytime to the sleep monitoring device through the mobile terminal of the mobile phone, and the monitoring device is favorable for carrying out deeper analysis on the physical health condition of the monitored object.
In this embodiment, the sleep characteristic parameters of the person other than the monitored object may also be acquired, analyzed, and displayed, so that the monitored object can recognize the influence of the sleep state and the sleep quality of the monitored object on other persons, and the awareness of the monitored object on adjusting and/or improving the sleep state and the sleep quality of the monitored object is strengthened.
Furthermore, if the sleep state and/or sleep quality and/or physical health condition of the monitored object is detected to be poor, reminding information can be sent to the monitored object so as to attract the attention of the monitored object and adjust and/or improve the monitored object. The reminding information sending mode comprises screen display, voice broadcast and short message prompt.
According to the sleep quality monitoring method provided by the embodiment, the sound and the limb posture information in the sleep room of the monitored object are collected and recognized, the sleep quality is analyzed by establishing the sleep quality model, the physical health condition is analyzed on the basis, and the health maintenance advice is provided in a targeted manner and is visually displayed to the user, so that the monitored object can pay attention to the sleep quality, and the monitored object can be helped to adjust and/or improve the sleep state and/or the sleep quality and/or the physical health condition.
Example 2:
the present embodiment provides a sleep monitoring apparatus, which adopts the method provided in embodiment 1.
Preferably, the sleep monitor device in this embodiment includes a voice collecting module, a posture collecting module, an information processing module and a display module, wherein,
the voice acquisition module is used for acquiring sound information in a sleeping room of the monitored object;
the posture acquisition module is used for acquiring limb posture information in a sleeping room of the monitored object, and preferably, the posture acquisition module is a WIFI module;
the information processing module is used for identifying the sound information and the limb posture information of the monitored object, acquiring characteristic information related to the sleep state of the monitored object, analyzing the sleep quality of the monitored object, analyzing the body health condition of the monitored object and matching corresponding health maintenance suggestions according to the body health condition of the monitored object.
And the display module is used for displaying the sleep quality analysis result, the physical health condition and the health maintenance suggestion to the monitored object.
Preferably, the sleep monitoring device further comprises an illumination sensor for detecting the sleep environment illumination of the monitored subject.
Preferably, the sleep monitoring device further comprises a storage module, which is used for storing physiological basic information, sleep environment illumination information, sound information and limb posture information identification results, sleep state and/or sleep quality analysis results and physical health conditions of the monitored object.
Preferably, the sleep monitor device further comprises a control module for controlling the other modules to perform respective functions.
Preferably, the sleep monitoring device in this embodiment automatically adjusts the brightness according to the illumination of the sleep environment and the movement of the limb of the monitored object, and if the sleep monitoring device detects that the monitored object has a movement at night, the control module controls the screen of the display module to light up to provide light for the monitored object and prevent the monitored object from colliding and being injured.
Preferably, the display module can be a painted screen or an ink screen with good light absorption, so that the eyes of the monitored object are prevented from being stimulated by overlarge display brightness at night.
Further preferably, the display module may also be configured to display different contents in different time periods, such as displaying a sleep state curve of the monitored object in the morning at night, a sleep quality evaluation result, and a characteristic affecting the sleep state and a corresponding characteristic parameter value thereof; displaying a sleep state curve of the monitored object in the afternoon nap, a sleep quality evaluation result, and characteristics influencing the sleep state and corresponding characteristic parameter values thereof at noon; displaying a weather and/or air index in the afternoon, wherein the weather and/or air index is acquired by a WiFi module through connecting a network server; and in the sleeping process of the monitored object at night, the display module is closed and does not display any content.
The embodiment provides a sleep monitoring device, which can monitor and analyze the sleep state and/or sleep quality and/or physical health condition of a monitored object, visually display the monitored object, and help the monitored object to adjust and/or improve the sleep state and/or sleep quality of the monitored object.
In summary, the present invention provides a sleep quality monitoring method and a sleep monitoring apparatus, which continuously obtain sound information and image information in a sleep room of a monitored object within a preset sleep monitoring time period; analyzing and identifying the sound and image information to obtain the sound and image information of the monitored object; acquiring characteristic parameters related to the sleep state of the monitored object according to the sound and image information of the monitored object; the sleep quality of the monitored object is analyzed according to the characteristic parameters, the result is transmitted to the monitored object, the sleep state and/or the sleep quality and/or the physical health condition of the monitored object are monitored and analyzed, the monitored object is visually displayed, and the monitored object is helped to adjust and/or improve the sleep state and/or the sleep quality of the monitored object.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the claims, any of the claimed embodiments may be used in any combination.
Thus, it should be appreciated by those skilled in the art that while a number of exemplary embodiments of the invention have been illustrated and described in detail herein, many other variations or modifications consistent with the principles of the invention may be directly determined or derived from the disclosure of the present invention without departing from the spirit and scope of the invention. Accordingly, the scope of the invention should be understood and interpreted to cover all such other variations or modifications.
Claims (11)
1. A sleep quality monitoring method is characterized by comprising the following steps:
s1: continuously acquiring sound information and limb posture information in a monitored object sleeping room within a preset sleep monitoring time period;
s2: analyzing and identifying the sound and limb posture information to acquire the sound and limb posture information of the monitored object;
s3: acquiring characteristic parameters related to the sleep state of the monitored object according to the sound and the body posture information of the monitored object;
s4: and analyzing the sleep quality of the monitored object according to the characteristic parameters, and transmitting the result to the monitored object.
2. The method as claimed in claim 1, wherein in step S4, the method for analyzing the sleep quality of the monitored subject according to the characteristic parameters is as follows: and establishing a sleep model of the monitored object according to the characteristic parameters, drawing a sleep curve of a preset sleep time period, and comparing the sleep curve with a set sleep curve to obtain the sleep quality of the monitored object.
3. The method according to claim 2, wherein the step S4 further comprises analyzing the health status of the monitored subject based on the characteristic parameters affecting the sleep status of the monitored subject and the sleep quality, matching the corresponding health care advice with respect to the health status of the user, and transmitting the health care advice to the monitored subject.
4. The method according to claim 1, wherein in step S1, the sound information includes breath sound, snore sound, night action sound and speaking sound generated in the sleeping room of the monitored subject; the limb posture information comprises limb posture information in a sleeping room of the monitored object.
5. The method according to claim 1, wherein in the step S1, the analyzing identifies that the content of the sound information includes the tone and/or the stereo of the sound; the body posture information identification content comprises a body action mode of the monitored object.
6. The method according to claim 1, wherein in the step S3, the characteristic parameters include a breathing frequency, a snoring frequency, a number of turning actions, and a number of overnight actions.
7. The method of claim 1, wherein in the step S2, the voice information is identified by: and carrying out big data training on the acquired sound information based on a neural network algorithm to carry out recognition.
8. The method according to claim 1, wherein in step S2, the manner of identifying the limb movement pattern of the monitored object is as follows: and identifying the limb action mode of the monitored object based on the channel state information.
9. A sleep monitoring device, characterized in that it employs the method of any one of claims 1-8.
10. The apparatus of claim 9, wherein the apparatus comprises a voice capture module, an image capture module, an information processing module, and a display module, wherein,
the voice acquisition module is used for acquiring sound information in a sleeping room of the monitored object;
the posture acquisition module is used for acquiring limb posture information in a sleeping room of the monitored object;
the information processing module is used for identifying the sound information and the limb action mode of the monitored object, acquiring characteristic parameter information related to the sleep state of the monitored object, analyzing the sleep quality of the monitored object, analyzing the body health condition of the monitored object and matching corresponding health maintenance suggestions according to the body health condition of the monitored object.
And the display module is used for displaying the sleep quality analysis result, the physical health condition and the health maintenance suggestion to the monitored object.
11. The apparatus of claim 10, wherein the sleep monitor device automatically adjusts the display module brightness based on ambient lighting and limb movements of the monitored subject.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113724737A (en) * | 2021-08-30 | 2021-11-30 | 康键信息技术（深圳）有限公司 | Method and device for monitoring sleep state, electronic equipment and storage medium |
| CN113925460A (en) * | 2021-10-01 | 2022-01-14 | 复旦大学 | Wearable sleep monitoring health management instrument |
| CN114587288A (en) * | 2022-04-02 | 2022-06-07 | 长春理工大学 | Sleep monitoring method, device and equipment |
| CN115120837A (en) * | 2022-06-27 | 2022-09-30 | 慕思健康睡眠股份有限公司 | Sleep environment adjusting method, system, device and medium based on deep learning |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101524300A (en) * | 2009-04-08 | 2009-09-09 | 南通爱尔馨家用品有限公司 | Digital pillow type device for remedying head sleeping posture by identifying stertor signals |
| CN105962946A (en) * | 2016-06-23 | 2016-09-28 | 华中科技大学 | Non-contact human body sleeping posture safety detection method and system |
| CN108471889A (en) * | 2015-12-30 | 2018-08-31 | 德沃特奥金有限公司 | Sleep or dependence furniture and for sleeping or leaning on the assessment unit of the sensor of furniture and the method for assessing sensor signal |
| CN109124219A (en) * | 2018-09-30 | 2019-01-04 | 太原理工大学 | Multifunctional intelligent pillow |
| CN110332674A (en) * | 2019-06-25 | 2019-10-15 | 珠海格力电器股份有限公司 | A kind of air conditioning control method, air-conditioning and computer-readable medium |
-
2020
- 2020-01-09 CN CN202010023134.0A patent/CN111227791A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101524300A (en) * | 2009-04-08 | 2009-09-09 | 南通爱尔馨家用品有限公司 | Digital pillow type device for remedying head sleeping posture by identifying stertor signals |
| CN108471889A (en) * | 2015-12-30 | 2018-08-31 | 德沃特奥金有限公司 | Sleep or dependence furniture and for sleeping or leaning on the assessment unit of the sensor of furniture and the method for assessing sensor signal |
| CN105962946A (en) * | 2016-06-23 | 2016-09-28 | 华中科技大学 | Non-contact human body sleeping posture safety detection method and system |
| CN109124219A (en) * | 2018-09-30 | 2019-01-04 | 太原理工大学 | Multifunctional intelligent pillow |
| CN110332674A (en) * | 2019-06-25 | 2019-10-15 | 珠海格力电器股份有限公司 | A kind of air conditioning control method, air-conditioning and computer-readable medium |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113724737A (en) * | 2021-08-30 | 2021-11-30 | 康键信息技术（深圳）有限公司 | Method and device for monitoring sleep state, electronic equipment and storage medium |
| WO2023029503A1 (en) * | 2021-08-30 | 2023-03-09 | 康键信息技术（深圳）有限公司 | Method and apparatus for monitoring sleep state, and electronic device and storage medium |
| CN113925460A (en) * | 2021-10-01 | 2022-01-14 | 复旦大学 | Wearable sleep monitoring health management instrument |
| CN114587288A (en) * | 2022-04-02 | 2022-06-07 | 长春理工大学 | Sleep monitoring method, device and equipment |
| CN115120837A (en) * | 2022-06-27 | 2022-09-30 | 慕思健康睡眠股份有限公司 | Sleep environment adjusting method, system, device and medium based on deep learning |
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