CN107518873B - Method and device for monitoring sleep condition and electronic equipment - Google Patents
Method and device for monitoring sleep condition and electronic equipment Download PDFInfo
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- CN107518873B CN107518873B CN201610461196.3A CN201610461196A CN107518873B CN 107518873 B CN107518873 B CN 107518873B CN 201610461196 A CN201610461196 A CN 201610461196A CN 107518873 B CN107518873 B CN 107518873B
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- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
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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
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- A61B5/4812—Detecting sleep stages or cycles
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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
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Abstract
The disclosure relates to a method and a device for monitoring sleep condition and an electronic device, wherein the method comprises the following steps: establishing a wireless connection with a wearable device worn by a user; monitoring wireless connection signal strength with the wearable device; and determining the sleep condition of the user according to the change condition of the wireless connection signal strength. Through the technical scheme disclosed by the invention, the sleeping condition of the user can be accurately monitored.
Description
Technical Field
The disclosure relates to the technical field of smart homes, and in particular relates to a method and a device for monitoring sleep conditions and electronic equipment.
Background
In the related art, a technology of monitoring a sleep condition of a user by a wearable device is proposed. For example, by arranging an acceleration sensor in the wearable device, the motion information of the user in the sleeping process can be collected, so that the sleeping condition of the user can be known.
However, the acceleration sensor and the like need to add extra chip cost and need to occupy more assembly space inside the wearable device, so that the occupied space of other parts in the wearable device is reduced, such as reducing the battery volume, which obviously affects the performance such as standby time; or the whole volume of the wearable device needs to be increased, but the portability of the wearable device is sacrificed, so that the wearing experience of the user is not facilitated.
In addition, the wearable device in the related art is usually worn on the four limbs of the user (such as the wrist, the ankle, etc.) to monitor the sleep condition of the user, but the movements of the four limbs of the user (such as moving the arms) do not really reflect the body movements of the user during sleep (such as turning over), so that the detection result of the sleep condition of the user in the related art is not accurate, and thus a more accurate sleep condition monitoring function is required.
Disclosure of Invention
The present disclosure provides a method and an apparatus for monitoring sleep status, and an electronic device, to solve the deficiencies in the related art.
According to a first aspect of embodiments of the present disclosure, there is provided a method of monitoring a sleep condition, comprising:
establishing a wireless connection with a wearable device worn by a user;
monitoring wireless connection signal strength with the wearable device;
and determining the sleep condition of the user according to the change condition of the wireless connection signal strength.
Optionally, when the wireless connection is a bluetooth connection, the wireless connection signal strength is a bluetooth connection signal strength.
Optionally, the determining the sleep condition of the user according to the change of the wireless connection signal strength includes:
and when the variation amplitude of the wireless connection signal intensity reaches a preset amplitude, judging that the user has physical movement.
Optionally, the determining the sleep condition of the user according to the change of the wireless connection signal strength further includes:
when the frequency that the variation amplitude of the wireless connection signal intensity reaches the preset amplitude is not more than the preset frequency, determining that the user is in a deep sleep state;
and when the frequency that the variation amplitude of the wireless connection signal intensity reaches the preset amplitude is greater than the preset frequency, judging that the user is in a light sleep state.
Optionally, the wearable device is fixed to a torso part of the user.
According to a second aspect of embodiments of the present disclosure, there is provided an apparatus for monitoring sleep conditions, comprising:
a connection establishing unit that establishes wireless connection with a wearable device worn by a user;
the intensity monitoring unit is used for monitoring the intensity of a wireless connection signal of the wearable equipment;
and the state determining unit is used for determining the sleep state of the user according to the change situation of the wireless connection signal strength.
Optionally, when the wireless connection is a bluetooth connection, the wireless connection signal strength is a bluetooth connection signal strength.
Optionally, the condition determining unit includes:
and the first judging subunit judges that the user has physical movement when the change amplitude of the wireless connection signal strength reaches a preset amplitude.
Optionally, the condition determining unit further includes:
a second determining subunit, configured to determine that the user is in a deep sleep state when a frequency at which a variation amplitude of the wireless connection signal intensity reaches a preset amplitude is not greater than a preset frequency; and when the frequency of the change amplitude of the wireless connection signal intensity reaching the preset amplitude is greater than the preset frequency, judging that the user is in a light sleep state.
Optionally, the wearable device is fixed to a torso part of the user.
According to a third aspect of the embodiments of the present disclosure, there is provided an electronic apparatus including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
establishing a wireless connection with a wearable device worn by a user;
monitoring wireless connection signal strength with the wearable device;
and determining the sleep condition of the user according to the change condition of the wireless connection signal strength.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
according to the embodiment, the wireless connection signal strength of the wearable device in the sleep process of the user can be monitored, accurate monitoring of the sleep state of the user can be achieved without adding additional chips such as an acceleration sensor under the condition that the wearable device internally comprises the wireless communication module, on one hand, the cost of the wearable device can be increased, on the other hand, occupation of the internal space of the wearable device can be avoided, and convenience and excellent performance of the wearable device can be achieved conveniently.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a flow chart illustrating a method of monitoring sleep conditions according to an exemplary embodiment.
FIG. 2 is a schematic diagram illustrating a scenario for monitoring sleep conditions according to an exemplary embodiment.
FIG. 3 is a flow chart illustrating another method of monitoring sleep conditions in accordance with an exemplary embodiment.
Fig. 4-6 are block diagrams illustrating an apparatus for monitoring sleep conditions according to an exemplary embodiment.
Fig. 7 is a schematic structural diagram illustrating an apparatus for monitoring sleep conditions according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
Fig. 1 is a flowchart illustrating a method of monitoring a sleep condition according to an exemplary embodiment, which is applied to an electronic device, as shown in fig. 1, and may include the following steps:
in step 102, a wireless connection is established with a wearable device worn by a user.
In the embodiment, a parameter acquisition chip is arranged in the wearable device and is transmitted to the user electronic device through the wireless connection, so that the corresponding original function is realized; for example, when wearable equipment can be wearing formula thermometer, be equipped with temperature sensor in this wearing formula thermometer, after environmental temperature or user's body temperature isoparametric were gathered to this temperature sensor, through electronic equipment such as foretell wireless connection transmission to user's cell-phone, flat board to realize real-time temperature monitoring function.
In the technical scheme of the disclosure, the sleep condition of the user can be monitored only by utilizing the originally assembled wireless communication module (used for establishing the wireless connection) in the wearable device without adding an additional parameter acquisition chip and the like. The wireless communication module assembled in the wearable device can be a Bluetooth Low Energy (BLE) module, a ZigBee module and the like; taking the bluetooth low energy module as an example, if the established wireless connection is a bluetooth connection, the wireless connection signal strength is a bluetooth connection signal strength.
In step 104, wireless connection signal strength with the wearable device is monitored.
In step 106, the sleep condition of the user is determined according to the variation of the wireless connection signal strength.
In this embodiment, the wearable device may be worn on a trunk portion (e.g., a chest, an abdomen, etc.) of the user, and is different from a limb portion (e.g., a wrist, an ankle, etc.), so that a change of the wireless connection signal strength may truly reflect a body movement (e.g., turning over) of the user, rather than a limb movement (e.g., moving an arm), thereby implementing a more accurate sleep condition monitoring function.
In this embodiment, when the variation range of the wireless connection signal strength reaches the preset range, it may be determined that the user has performed a body movement, so that a body movement with an excessively small range is ignored, and a misjudgment is avoided.
Further, when the frequency at which the variation amplitude of the wireless connection signal intensity reaches the preset amplitude is not greater than the preset frequency, it can be determined that the user is in a deep sleep state; and when the frequency of the change amplitude of the wireless connection signal intensity reaching the preset amplitude is greater than the preset frequency, the user is judged to be in a light sleep state.
Known by the above embodiment, this is disclosed through monitoring wearable equipment in user's sleep wireless connection signal intensity, can be in wearable equipment inside contain under the condition of wireless communication module, need not to increase extra chips such as acceleration sensor, can realize the accurate monitoring to user's sleep state, can avoid wearable equipment's cost to increase on the one hand, and on the other hand can avoid the occupation to wearable equipment's inner space, is convenient for realize wearable equipment's portability and good performance.
Fig. 2 is a schematic view of a scene for monitoring sleep conditions according to an exemplary embodiment, as shown in fig. 2, assuming that the wearable device is a wearable thermometer 1 attached to the chest of the user, and the wearable thermometer 1 has a temperature sensor built therein, so that the body temperature of the user can be continuously monitored; meanwhile, when the user is in a sleep state, electronic equipment such as a mobile phone 2 and the like is placed at a position such as a bedside table and the like and is used for receiving the body temperature data of the user collected by the wearable thermometer 1. Then, assume that wearable thermometer 1 and cell-phone 2 are built-in respectively has bluetooth low energy module for can establish the wireless connection of bluetooth agreement between this wearable thermometer 1 and the cell-phone 2, bluetooth connection promptly, make wearable thermometer 1 can be in view of the above with user's body temperature data transmission to cell-phone 2.
Accordingly, the mobile phone 2 can implement the sleep condition monitoring scheme of the present disclosure by monitoring the signal strength of the bluetooth connection, which is described in detail below with reference to fig. 3. Fig. 3 is a flowchart illustrating another method for monitoring sleep conditions according to an exemplary embodiment, and as shown in fig. 3, the method applied to the mobile phone 2 may include the following steps:
in step 302, a bluetooth connection is established with the wearable thermometer 1.
In step 304, the bluetooth connection signal strength is obtained.
In this embodiment, the mobile phone 2 may periodically acquire the bluetooth connection signal strength according to a preset time interval, so as to continuously monitor the sleep condition of the user. For example, the preset time interval may be 5s or any other time duration.
In step 306, when the variation amplitude of the bluetooth connection signal strength reaches the preset amplitude, the process goes to step 308, otherwise, the process returns to step 304.
In step 308, it is determined that the user has a turning motion.
In this embodiment, when the variation amplitude of the wireless connection signal strength reaches a preset amplitude, for example, when the bluetooth connection signal strength reaches the preset amplitude, it may be determined that the user has performed a body movement. Wherein, for the "variation amplitude reaching the preset amplitude" here, at least one of the following may be understood: the change amplitude of the wireless connection signal strength reaches a preset amplitude, or the change proportion of the wireless signal strength reaches a preset proportion; of course, the preset amplitude and the preset ratio may be configured according to actual situations.
In the present embodiment, as in the scenario shown in fig. 2, the wearable thermometer 1 may be fixed to the torso part of the user, such as the chest, rather than the four limbs, so that the bluetooth connection signal strength can accurately reflect the turning motion of the user, rather than the motion of the four limbs, such as the arms and the legs; in fact, when the user is in a sleeping state, the turning-over action brings actions of the trunk part and the four limbs, and the actions of the four limbs do not necessarily occur at the same time, so that the wearable thermometer 1 is worn on the trunk part of the user, and the recognition accuracy of the sleeping state of the user is improved.
In step 310, when the turning-over frequency of the user is not greater than the preset frequency, the step 312 is executed; when the turning frequency of the user is greater than the preset frequency, the process goes to step 314.
In step 312, it is determined that the user is in a deep sleep state.
In step 314, it is determined that the user is in a light sleep state.
In this embodiment, when the frequency at which the variation amplitude of the bluetooth connection signal intensity reaches the preset amplitude is not greater than the preset frequency, that is, the frequency of the user performing the turning-over action is low (for example, not greater than the preset frequency), it may be determined that the user is in the deep sleep state.
When the frequency of the variation amplitude of the bluetooth connection signal intensity reaching the preset amplitude is greater than the preset frequency, that is, the frequency of the turning-over action of the user is higher (if greater than the preset frequency), it can be determined that the user is in a light sleep state.
The judgment of the sleep state of the user can be based on a predefined judgment period, such as 20 minutes, 1 hour and the like, so that the frequency of the turning-over action of the user can be calculated conveniently; and, the judgment period can be edited to adapt to actual requirements.
Corresponding to the foregoing embodiments of the method of monitoring a sleep condition, the present disclosure also provides embodiments of an apparatus for monitoring a sleep condition.
Fig. 4 is a block diagram illustrating an apparatus for monitoring sleep conditions in accordance with an exemplary embodiment. Referring to fig. 4, the apparatus may include a connection establishing unit 41, a strength monitoring unit 42, and a condition determining unit 43.
A connection establishing unit 41 configured to establish a wireless connection with a wearable device worn by a user;
an intensity monitoring unit 42 configured to monitor wireless connection signal intensity with the wearable device;
a status determining unit 43 configured to determine the sleep status of the user according to the variation of the wireless connection signal strength.
Optionally, when the wireless connection is a bluetooth connection, the wireless connection signal strength is a bluetooth connection signal strength.
Optionally, the wearable device is fixed to a torso part of the user.
As shown in fig. 5, fig. 5 is a block diagram of another apparatus for monitoring sleep condition according to an exemplary embodiment, and on the basis of the foregoing embodiment shown in fig. 4, the condition determining unit 43 may include: a first decision subunit 431.
A first determining subunit 431 configured to determine that the user has performed a body motion when the magnitude of the change in the wireless connection signal strength reaches a preset magnitude.
As shown in fig. 6, fig. 6 is a block diagram of another apparatus for monitoring sleep condition according to an exemplary embodiment, and the embodiment is based on the foregoing embodiment shown in fig. 5, and the condition determining unit 43 may further include: a second decision subunit 432.
A second determining subunit 432, configured to determine that the user is in a deep sleep state when a frequency at which a variation amplitude of the wireless connection signal strength reaches a preset amplitude is not greater than a preset frequency; and when the frequency of the change amplitude of the wireless connection signal intensity reaching the preset amplitude is greater than the preset frequency, judging that the user is in a light sleep state.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the disclosure. One of ordinary skill in the art can understand and implement it without inventive effort.
Correspondingly, the present disclosure also provides a device for monitoring sleep condition, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to: establishing a wireless connection with a wearable device worn by a user; monitoring wireless connection signal strength with the wearable device; and determining the sleep condition of the user according to the change condition of the wireless connection signal strength.
Accordingly, the present disclosure also provides a terminal comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured for execution by the one or more processors to include instructions for: establishing a wireless connection with a wearable device worn by a user; monitoring wireless connection signal strength with the wearable device; and determining the sleep condition of the user according to the change condition of the wireless connection signal strength.
Fig. 7 is a block diagram illustrating an apparatus 700 for monitoring sleep conditions according to an example embodiment. For example, the apparatus 700 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.
Referring to fig. 7, the apparatus 700 may include one or more of the following components: a processing component 702, a memory 704, a power component 706, a multimedia component 708, an audio component 710, an input/output (I/O) interface 712, a sensor component 714, and a communication component 716.
The processing component 702 generally controls overall operation of the device 700, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 702 may include one or more processors 720 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 702 may include one or more modules that facilitate interaction between the processing component 702 and other components. For example, the processing component 702 may include a multimedia module to facilitate interaction between the multimedia component 708 and the processing component 702.
The memory 704 is configured to store various types of data to support operations at the apparatus 700. Examples of such data include instructions for any application or method operating on device 700, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 704 may be implemented by any type or combination of volatile or non-volatile storage devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power supply component 706 provides power to the various components of the device 700. The power components 706 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the apparatus 700.
The multimedia component 708 includes a screen that provides an output interface between the device 700 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 708 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 700 is in an operation mode, such as a photographing mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 710 is configured to output and/or input audio signals. For example, audio component 710 includes a Microphone (MIC) configured to receive external audio signals when apparatus 700 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may further be stored in the memory 704 or transmitted via the communication component 716. In some embodiments, audio component 710 also includes a speaker for outputting audio signals.
The I/O interface 712 provides an interface between the processing component 702 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 714 includes one or more sensors for providing status assessment of various aspects of the apparatus 700. For example, sensor assembly 714 may detect an open/closed state of device 700, the relative positioning of components, such as a display and keypad of device 700, sensor assembly 714 may also detect a change in position of device 700 or a component of device 700, the presence or absence of user contact with device 700, orientation or acceleration/deceleration of device 700, and a change in temperature of device 700. The sensor assembly 714 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 714 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 714 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 716 is configured to facilitate wired or wireless communication between the apparatus 700 and other devices. The apparatus 700 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 716 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 716 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 700 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors, or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as the memory 704 comprising instructions, executable by the processor 720 of the device 700 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice in the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (8)
1. A method of monitoring sleep conditions, comprising:
establishing a wireless connection with a wearable device worn by a user;
monitoring wireless connection signal strength with the wearable device;
determining the sleep state of the user according to the change condition of the wireless connection signal strength;
when the variation amplitude of the wireless connection signal intensity reaches a preset amplitude, determining that the user has physical movement;
when the frequency that the variation amplitude of the wireless connection signal intensity reaches the preset amplitude is not more than the preset frequency, determining that the user is in a deep sleep state;
and when the frequency of the change amplitude of the wireless connection signal intensity reaching the preset amplitude is greater than the preset frequency, judging that the user is in a light sleep state.
2. The method of claim 1, wherein the wireless connection signal strength is a Bluetooth connection signal strength when the wireless connection is a Bluetooth connection.
3. The method of claim 1, wherein the wearable device is secured to a torso portion of the user.
4. An apparatus for monitoring sleep conditions, comprising:
a connection establishing unit that establishes wireless connection with a wearable device worn by a user;
the intensity monitoring unit is used for monitoring the intensity of a wireless connection signal with the wearable equipment;
the state determining unit is used for determining the sleep state of the user according to the change situation of the wireless connection signal intensity;
when the variation amplitude of the wireless connection signal intensity reaches a preset amplitude, determining that the user has physical movement;
when the frequency that the variation amplitude of the wireless connection signal intensity reaches the preset amplitude is not more than the preset frequency, determining that the user is in a deep sleep state;
and when the frequency that the variation amplitude of the wireless connection signal intensity reaches the preset amplitude is greater than the preset frequency, judging that the user is in a light sleep state.
5. The apparatus of claim 4, wherein the wireless connection signal strength is a Bluetooth connection signal strength when the wireless connection is a Bluetooth connection.
6. The apparatus of claim 4, wherein the wearable device is secured to a torso portion of the user.
7. An electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
establishing a wireless connection with a wearable device worn by a user;
monitoring wireless connection signal strength with the wearable device;
determining the sleep state of the user according to the change condition of the wireless connection signal strength;
when the variation amplitude of the wireless connection signal intensity reaches a preset amplitude, determining that the user has physical movement;
when the frequency that the variation amplitude of the wireless connection signal intensity reaches the preset amplitude is not more than the preset frequency, determining that the user is in a deep sleep state;
and when the frequency that the variation amplitude of the wireless connection signal intensity reaches the preset amplitude is greater than the preset frequency, judging that the user is in a light sleep state.
8. A computer-readable storage medium having stored thereon computer instructions, which, when executed by a processor, carry out the steps of the method according to any one of claims 1-3.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US9443419B2 (en) * | 2011-08-16 | 2016-09-13 | University Of Utah Research Foundation | Monitoring breathing via signal strength in wireless networks |
| CN202515647U (en) * | 2012-02-09 | 2012-11-07 | 王冰 | Household sleep status monitoring device |
| CN203408319U (en) * | 2013-07-02 | 2014-01-29 | 北京杰富瑞科技有限公司 | Breathing machine for monitoring sleep quality |
| CN104434068A (en) * | 2014-12-26 | 2015-03-25 | 上海翰临电子科技有限公司 | Sleep analysis method and device based on environment monitoring |
| CN104678770B (en) * | 2015-01-23 | 2019-03-01 | 小米科技有限责任公司 | It is displaced event detecting method and system |
| CN105380600A (en) * | 2015-11-04 | 2016-03-09 | 北京握奇数据系统有限公司 | Automatic sleep detection method and system based on wearable intelligent equipment |
| CN106196516A (en) * | 2016-09-12 | 2016-12-07 | 广州视源电子科技股份有限公司 | Control the method and device of air-conditioning regulation |
| CN106618497A (en) * | 2016-12-13 | 2017-05-10 | 北京理工大学 | Method for monitoring sleep in complicated environment based on channel state information |
| CN106725488B (en) * | 2016-12-27 | 2023-08-18 | 深圳大学 | Wireless field intensity respiration detection method and device and respiration detector |
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