CN108338778A - A kind of user's sleep state detection method - Google Patents
A kind of user's sleep state detection method Download PDFInfo
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- CN108338778A CN108338778A CN201810143469.9A CN201810143469A CN108338778A CN 108338778 A CN108338778 A CN 108338778A CN 201810143469 A CN201810143469 A CN 201810143469A CN 108338778 A CN108338778 A CN 108338778A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4809—Sleep detection, i.e. determining whether a subject is asleep or not
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0077—Devices for viewing the surface of the body, e.g. camera, magnifying lens
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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
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1118—Determining activity level
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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
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1121—Determining geometric values, e.g. centre of rotation or angular range of movement
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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Abstract
A kind of user's sleep state detection method of the present invention, user's sleep state are detected by intelligent wearable equipment, which is characterized in that described detection method includes the following steps：The intelligent wearable equipment detects whether itself is worn on user；If being worn on user, the intelligent wearable equipment starts built-in multiaxis accelerograph；The intelligent wearable equipment detects the motion amplitude of user by the multiaxis accelerograph；Judge the relationship of the motion amplitude of the user and default value in the scheduled time；Determine whether the user is in sleep state.In the present invention, the movement of user is detected using multiaxis accelerograph, user is no matter in deep sleep, or in either shallow sleep, and the variation of motion amplitude is more unified, so intelligent wearable equipment can more accurately determine the sleep state of user.
Description
Technical field
Data processing field of the present invention more particularly to a kind of user's sleep state detection method.
Technical field
Intelligent wearable equipment constantly develops in recent years, and user is also continuous for the functional requirement of intelligent wearable equipment
It improves.
Intelligent wearable equipment (such as Intelligent bracelet) in the prior art can detect whether user is in sleep state,
To carry out the monitoring of other information.
Existing Intelligent bracelet is detected by heartbeat sensor, when the heartbeat for being informed in user in a certain section of duration
When change rate is relatively low, then determine therefrom that user has fallen asleep.
But process of falling asleep is divided into deep sleep and either shallow sleep, the heartbeat under different sleep qualities can change, because
This affects Intelligent bracelet and determines the dormant accuracy of user.
Invention content
The present invention provides a kind of user's sleep state detection methods, can accurately detect user's sleep state.
In order to achieve the above object, the present invention adopts the following technical scheme that：A kind of user's sleep state detection method, user
Sleep state is detected by intelligent wearable equipment, which is characterized in that described detection method includes the following steps：
The intelligent wearable equipment detects whether itself is worn on user；
If being worn on user, the intelligent wearable equipment starts built-in multiaxis accelerograph；
The intelligent wearable equipment detects the motion amplitude of user by the multiaxis accelerograph；
Judge the relationship of the motion amplitude of the user and default value in the scheduled time；
Determine whether the user is in sleep state.
Preferably, when the motion amplitude of the user described within the predetermined time is less than default value, the intelligence wearing
Formula equipment determines that the user is in sleep state.
Preferably, the intelligent wearable equipment built-in camera, when the movement width of the user described within the predetermined time
When degree is less than default value, starts the camera and user's face area is identified, detection judges user in a period of time
Inside whether it is in closed-eye state, if user is in closed-eye state, it is determined that user is in sleep state.
Preferably, when starting the camera user's face area being identified, first start camera carry out around sweep
The location parameter for determining the intellectual wearable device is retouched, and shooting area is adjusted according to location parameter, so that the shooting
Region can cover always user's face area.
Preferably, include come the process for adjusting shooting area according to the location parameter：
When intelligent wearable equipment is overlooked or is looked up, the intelligent wearable equipment is obtained by the location parameter
Pitch angle is obtained, the pitch angle is used to indicate the angle that the intelligent wearable equipment deviates downward or upward；
The intelligent wearable equipment calculates the adjustment angle of the camera according to the pitch angle using following formula；
The intelligent wearable device is according to the shooting angle for adjusting the angle the adjustment camera, so that shooting area
Domain can cover always user's face area；
Or,
(the Xworld, Zworld) be user's face area coordinate, (the Xcamera, Zcamera) it is the shooting
The coordinate in region, it is describedFor the pitch angle, the φ is the adjustment angle, and the θ is the visual angle of the shooting area
Degree, the m are the length of the camera, the dxFor the vertical range of the camera and user's face area, institute
State dzFor the horizontal distance of the camera and user's face area.
Preferably, the camera is the rotatable camera of two axis.
Preferably, before motion amplitude of the intelligent wearable equipment by multiaxis accelerograph detection user,
Data acquisition, construction feature database are carried out in advance.
Preferably, after motion amplitude of the intelligent wearable equipment by multiaxis accelerograph detection user,
Judge currently detected data whether at least one set of Data Matching in property data base, if matching, it is determined that at user
In sleep state.
Preferably, the multiaxis accelerograph is 3-axis acceleration instrument.
Preferably, the process of construction feature database includes the following steps：
Step 1, user's sets itself sleep onset time, and detected by acquisition 3-axis acceleration instrument after this time
3-axis acceleration signal.
Step 2, it builds as follows：
Determine that an object time t, the object time can be any time；
The a periods are obtained from t moment toward a period of time is pushed forward, the b periods are obtained for a period of time toward pusher from t moment；
The signal that each per time instance 3-axis acceleration instrument is fed back in storage a periods, b periods and t moment
(vx,vy,vz)；
The modulus value v for calculating the signal of each per time instance in a periods, b periods is vxSquare plus vySquare plus vz's
Square, then pair and value open radical sign；
The fluctuation statistical result for calculating the modulus value of the signal of each per time instance in a periods, b periods (is considered as
It is change rate) sa and sb；
T moment sleep state feature is built, C (t)=(v is expressed asx(t),vy(t),v z(t),sa(t),sb(t))；
Abovementioned steps are repeated, until completing the characteristic extraction procedure at whole moment, are expressed as D (C)=(C (1) ..., C
(2) ..., C (Y)), the wherein sum of Y per time instances.
In the present invention, when intelligent wearable equipment is worn on user, intelligent wearable equipment passes through built-in multiaxis
Accelerograph detects the movement of user, when the motion amplitude that intelligent wearable equipment is informed in user in lasting a period of time is small
When default value, it is determined that user is in sleep state.In the present invention, the fortune of user is detected using multiaxis accelerograph
Dynamic, for user no matter in deep sleep, or in either shallow sleep, the variation of motion amplitude is more unified, so intelligence wearing
Formula equipment can more accurately determine the sleep state of user.
Description of the drawings
The present invention will be further described below in conjunction with the accompanying drawings：
Fig. 1 is a kind of flow diagram of the embodiment of user's sleep state detection method of the present invention；
Fig. 2 is a kind of another flow diagram of the embodiment of user's sleep state detection method of the present invention；
Fig. 3 is a kind of the third flow diagram of the embodiment of user's sleep state detection method of the present invention.
Specific implementation mode
Embodiment：
The present invention provides a kind of user's sleep state detection method, and user's sleep state is examined by intelligent wearable equipment
It surveys, wherein described detection method includes the following steps：The intelligent wearable equipment detects whether itself is worn on user；
If being worn on user, the intelligent wearable equipment starts built-in multiaxis accelerograph；The intelligent wearable equipment
The motion amplitude of user is detected by the multiaxis accelerograph；Judge in the scheduled time motion amplitude of the user with it is pre-
The relationship of setting value；Determine whether the user is in sleep state.
As shown in Figure 1, in the present embodiment, when the motion amplitude of the user described within the predetermined time is less than default value
When, the intelligent wearable equipment determines that the user is in sleep state.The intelligent wearable equipment built-in camera, can
To judge that intelligent wearable device is dressed by user by camera or other modes.
As shown in Fig. 2, certainly, camera is provided in wearable device, it can further improve and sleep to user
State-detection.When the motion amplitude of the user described within the predetermined time be less than default value when, start the camera to
Family face area is identified, and detection judges whether user is in closed-eye state whithin a period of time, if user is in eye closing shape
State, it is determined that user is in sleep state.That is, in conjunction with the motion amplitude of user and the state of eyes, multiple dimensions
Be identified and judge whether user is in sleep state, promote the accuracy reliability of Data Detection, and with virtual condition
Matching.
In the process, when starting the camera user's face area being identified, first start camera and carry out week
The location parameter that scanning determines the intellectual wearable device is enclosed, and shooting area is adjusted according to location parameter, so that described
Shooting area can cover always user's face area.
Include come the process for adjusting shooting area according to the location parameter：
When intelligent wearable equipment is overlooked or is looked up, the intelligent wearable equipment is obtained by the location parameter
Pitch angle is obtained, the pitch angle is used to indicate the angle that the intelligent wearable equipment deviates downward or upward；
The intelligent wearable equipment calculates the adjustment angle of the camera according to the pitch angle using following formula；
The intelligent wearable device is according to the shooting angle for adjusting the angle the adjustment camera, so that shooting area
Domain can cover always user's face area；
Or,
(the Xworld, Zworld) be user's face area coordinate, (the Xcamera, Zcamera) it is the shooting
The coordinate in region, it is describedFor the pitch angle, the φ is the adjustment angle, and the θ is the visual angle of the shooting area
Degree, the m are the length of the camera, the dxFor the vertical range of the camera and user's face area, institute
State dzFor the horizontal distance of the camera and user's face area.
Certainly, the camera in the above process is the rotatable camera of two axis.
As shown in figure 3, in order to further promote the reliability of detection data, the intelligent wearable equipment passes through institute
Before the motion amplitude for stating multiaxis accelerograph detection user, data acquisition, construction feature database are carried out in advance.The intelligence
After Wearable detects the motion amplitude of user by the multiaxis accelerograph, whether currently detected data are judged
With at least one set of Data Matching in property data base, if matching, it is determined that user is in sleep state.The multiaxis acceleration
Instrument is 3-axis acceleration instrument.
The process of construction feature database includes the following steps：
Step 1, user's sets itself sleep onset time, and detected by acquisition 3-axis acceleration instrument after this time
3-axis acceleration signal.
Step 2, it builds as follows：
Determine that an object time t, the object time can be any time；
The a periods are obtained from t moment toward a period of time is pushed forward, the b periods are obtained for a period of time toward pusher from t moment；
The signal that each per time instance 3-axis acceleration instrument is fed back in storage a periods, b periods and t moment
(vx,vy,vz)；
The modulus value v for calculating the signal of each per time instance in a periods, b periods is vxSquare plus vySquare plus vz's
Square, then pair and value open radical sign；
The fluctuation statistical result for calculating the modulus value of the signal of each per time instance in a periods, b periods (is considered as
It is change rate) sa and sb；
T moment sleep state feature is built, C (t)=(v is expressed asx(t),vy(t),v z(t),sa(t),sb(t))；
Abovementioned steps are repeated, until completing the characteristic extraction procedure at whole moment, are expressed as D (C)=(C (1) ..., C
(2) ..., C (Y)), the wherein sum of Y per time instances.
In the present invention, when intelligent wearable equipment is worn on user, intelligent wearable equipment passes through built-in multiaxis
Accelerograph detects the movement of user, when the motion amplitude that intelligent wearable equipment is informed in user in lasting a period of time is small
When default value, it is determined that user is in sleep state.In the present invention, the fortune of user is detected using multiaxis accelerograph
Dynamic, for user no matter in deep sleep, or in either shallow sleep, the variation of motion amplitude is more unified, so intelligence wearing
Formula equipment can more accurately determine the sleep state of user.
In addition to above preferred embodiment, the present invention also has other embodiments, those skilled in the art can be according to this
Invention makes various changes and modifications, and without departing from the spirit of the present invention, should all belong to appended claims of the present invention and determine
The range of justice.
Claims (10)
1. a kind of user's sleep state detection method, user's sleep state are detected by intelligent wearable equipment, which is characterized in that
It is described that detection method includes the following steps：
The intelligent wearable equipment detects whether itself is worn on user；
If being worn on user, the intelligent wearable equipment starts built-in multiaxis accelerograph；
The intelligent wearable equipment detects the motion amplitude of user by the multiaxis accelerograph；
Judge the relationship of the motion amplitude of the user and default value in the scheduled time；
Determine whether the user is in sleep state.
2. user's sleep state detection method according to claim 1, which is characterized in that when described within the predetermined time
When the motion amplitude of user is less than default value, the intelligent wearable equipment determines that the user is in sleep state.
3. user's sleep state detection method according to claim 1, which is characterized in that in the intelligent wearable equipment
Set camera, when the motion amplitude of the user described within the predetermined time be less than default value when, start the camera to
Family face area is identified, and detection judges whether user is in closed-eye state whithin a period of time, if user is in eye closing shape
State, it is determined that user is in sleep state.
4. user's sleep state detection method according to claim 3, which is characterized in that start the camera to user
When face area is identified, first starts camera and carries out the location parameter that surrounding scans the determining intellectual wearable device,
And shooting area is adjusted according to location parameter, so that the shooting area can cover always user's face area.
5. user's sleep state detection method according to claim 4, which is characterized in that adjusted according to the location parameter
The process of whole shooting area includes：
When intelligent wearable equipment is overlooked or is looked up, the intelligent wearable equipment is bowed by the location parameter
The elevation angle, the pitch angle are used to indicate the angle that the intelligent wearable equipment deviates downward or upward；
The intelligent wearable equipment calculates the adjustment angle of the camera according to the pitch angle using following formula；
The intelligent wearable device is according to the shooting angle for adjusting the angle the adjustment camera, so that shooting area one
User's face area can directly be covered；
Or,
(the Xworld, Zworld) be user's face area coordinate, (the Xcamera, Zcamera) it is the shooting area
Coordinate, it is describedFor the pitch angle, the φ is the adjustment angle, and the θ is the angle of the shooting area, the m
For the length of the camera, the dxFor the vertical range of the camera and user's face area, the dzIt is described
The horizontal distance of camera and user's face area.
6. user's sleep state detection method according to claim 4, which is characterized in that the camera, which is two axis, to be revolved
The camera turned.
7. user's sleep state detection method according to claim 1, which is characterized in that the intelligent wearable equipment is logical
It crosses before the motion amplitude of the multiaxis accelerograph detection user, carries out data acquisition, construction feature database in advance.
8. user's sleep state detection method according to claim 7, which is characterized in that the intelligent wearable equipment is logical
Cross after the motion amplitude of multiaxis accelerograph detection user, judge currently detected data whether with property data base
In at least one set of Data Matching, if matching, it is determined that user is in sleep state.
9. user's sleep state detection method according to claim 7, which is characterized in that the multiaxis accelerograph is three
Axle acceleration instrument.
10. user's sleep state detection method according to claim 9, which is characterized in that the mistake of construction feature database
Journey includes the following steps：
Step 1, user's sets itself sleep onset time, and three detected by acquisition 3-axis acceleration instrument after this time
Axle acceleration signal.
Step 2, it builds as follows：
Determine that an object time t, the object time can be any time；
The a periods are obtained from t moment toward a period of time is pushed forward, the b periods are obtained for a period of time toward pusher from t moment；
Signal (the v that each per time instance 3-axis acceleration instrument is fed back in storage a periods, b periods and t momentx,vy,
vz)；
The modulus value v for calculating the signal of each per time instance in a periods, b periods is vxSquare plus vySquare plus vzIt is flat
Side, then pair and value open radical sign；
The fluctuation statistical result for calculating the modulus value of the signal of each per time instance in a periods, b periods (can be regarded as becoming
Rate) sa and sb；
T moment sleep state feature is built, C (t)=(v is expressed asx(t),vy(t),vz(t),sa(t),sb(t))；
Repeat abovementioned steps, until complete the characteristic extraction procedure at whole moment, be expressed as D (C)=(C (1) ..., C (2) ...,
C (Y)), the wherein sum of Y per time instances.
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ID=62960207
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| CN107085715A (en) * | 2017-05-19 | 2017-08-22 | 武汉理工大学 | A kind of television set intelligently detects the dormant system and method for user |
| CN107184217A (en) * | 2017-07-06 | 2017-09-22 | 深圳市新元素医疗技术开发有限公司 | A kind of circadian rhythm analysis method |
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2018
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160022175A1 (en) * | 2014-09-23 | 2016-01-28 | Fitbit, Inc. | Automatic detection of a wearable electronic device not being worn using a motion sensor |
| WO2017099340A1 (en) * | 2015-12-08 | 2017-06-15 | 삼성전자 주식회사 | Electronic device, signal processing method thereof, biological signal measurement system, and non-transitory computer readable recording medium |
| CN105816153A (en) * | 2016-03-13 | 2016-08-03 | 北京工业大学 | Sleep monitoring system and method |
| CN106685797A (en) * | 2016-07-09 | 2017-05-17 | 东莞市华睿电子科技有限公司 | Method for verifying identity based on instant communication |
| CN106983515A (en) * | 2017-04-17 | 2017-07-28 | 安徽咏鹅家纺股份有限公司 | A kind of intelligent sleep monitoring system |
| CN107085715A (en) * | 2017-05-19 | 2017-08-22 | 武汉理工大学 | A kind of television set intelligently detects the dormant system and method for user |
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