CN106236013A - A kind of sleep monitor method and device - Google Patents
A kind of sleep monitor method and device Download PDFInfo
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- CN106236013A CN106236013A CN201610459933.6A CN201610459933A CN106236013A CN 106236013 A CN106236013 A CN 106236013A CN 201610459933 A CN201610459933 A CN 201610459933A CN 106236013 A CN106236013 A CN 106236013A
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- 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
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- A61B5/4812—Detecting sleep stages or cycles
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Abstract
The present invention provides a kind of sleep monitor method and device.Described method includes: obtain the sleep state data of user；Sleep state according to described sleep state data genaration user；Described sleep state data at least include action data and/or voice data；Described action data obtains according to user images.Described device includes sleep state data acquisition module: for obtaining the sleep state data of user；Sleep state generation module: for the sleep state according to described sleep state data genaration user；Described sleep state data at least include action data and/or voice data；Described action data obtains according to user images.Method and device provided by the present invention, it is possible to more precisely monitoring sleep status.
Description
Technical field
The present invention relates to the information processing technology, particularly relate to a kind of sleep monitor method and device.
Background technology
Along with life and the progress of science and technology, people are more and more higher to the degree of concern of the health status of self.Sleep shape
Condition is an important indicator and the influence factor of health, owing under sleep state, the degree of awareness of human body is the lowest, therefore sleeps
The important technology research direction that monitoring of sleeping becomes current.
In prior art, engender various sleep monitoring device, but how to accomplish the most accurately to monitor and sleep
Dormancy state, does not produces impact to the sleep procedure of user, is still a problem needing to solve.
Summary of the invention
In view of this, the present invention provides a kind of sleep monitor method and device, it is possible to more precisely monitoring sleep status.
The sleep monitor method provided based on the above-mentioned purpose present invention, including:
Obtain the sleep state data of user；
Sleep state according to described sleep state data genaration user；
Described sleep state data at least include action data and/or voice data；Described action data is schemed according to user
As obtaining.
Optionally, when described sleep state data include action data, described according to described sleep state data genaration
The dormant step of user specifically includes:
When described action data instruction movement range is more than when setting first threshold, it is judged that the sleep state of user is either shallow
Sleep or wake up, maybe will wake up；
When described action data instruction movement range is less than when setting Second Threshold, it is judged that the sleep state of user is the degree of depth
Sleep.
Optionally, when described sleep state data include action data, the sleep state data of described acquisition user
Step at least includes:
User images is obtained by image acquiring device；
The action data of user is calculated according to described user images.
Optionally, described action data includes movement range；The described action number calculating user according to described user images
According to step specifically include:
User profile is obtained from described user images；
User profile according at least two user images obtains user action amplitude.
Optionally, described action data includes movement range, the described step obtaining user profile from described user images
Suddenly specifically include:
Described user images is carried out medium filtering process, it is thus achieved that user images intermediate value；
According to described user images intermediate value, described image is carried out binary conversion treatment；
The image obtaining described binary conversion treatment carries out wavelet transformation, extracts multiple dimensioned profile；
User profile is obtained according to described multiple dimensioned profile；
The user profile of described at least two user images of basis obtains the step of user action information and specifically includes:
User profile according at least two user images utilizes frame difference method to calculate the movement range of user.
Optionally, described action data includes action frequency.
Optionally, when described sleep state data are voice data, described according to described sleep state data genaration use
The dormant step at family specifically includes:
When described voice data instruction respiratory frequency is more than three threshold value set, it is judged that the sleep state of user is shallow
Degree is slept, maybe will be wakeeed up or wake up；
When described voice data instruction respiratory frequency is in the threshold range of setting, it is judged that the sleep state of user is deep
Degree sleep.
Optionally, when described sleep state data at least include voice data, the sleep state number of described acquisition user
According to step at least include:
The acoustic information of user is gathered by sound collection equipment；
Calculate described acoustic information and obtain voice data.
Optionally, described acoustic information includes frequency and the tone information of sound；The described acoustic information of described calculating obtains
The step of voice data specifically includes:
Sound sound collection equipment collected carries out high-pass filtering process and time frequency analysis, it is thus achieved that described sound
Frequency and tone information；
Described method also includes:
Snoring state the record of user is judged according to described sound frequency and tone information.
Optionally, described time frequency analysis is specially Short Time Fourier Analysis.
Optionally, when described sleep state data include view data and voice data, described according to described sleep shape
The dormant step of state data genaration user specifically includes:
When described action data instruction movement range is more than setting first threshold and described voice data instruction respiratory frequency
When being in the threshold range of setting, it is judged that the sleep state of user is either shallow sleep；
When described action data instruction movement range is big more than setting first threshold and described voice data instruction suction frequency
When three threshold value set, it is judged that the sleep state of user maybe will be wakeeed up for wakeing up；
When described action data instruction movement range is less than setting Second Threshold and described voice data instruction respiratory frequency
When being in the threshold range of setting, it is judged that the sleep state of user is deep sleep；
When described action data instruction movement range is more than less than setting Second Threshold and voice data instruction respiratory frequency
During three threshold value set, it is judged that the sleep state of user is either shallow sleep.
Meanwhile, the present invention also provides for a kind of sleep monitoring device, including:
Sleep state data acquisition module: for obtaining the sleep state data of user；
Sleep state generation module: for the sleep state according to described sleep state data genaration user；
Described sleep state data at least include action data and/or voice data；Described action data is schemed according to user
As obtaining.
Optionally, when described sleep state data include action data, described sleep state generation module specifically includes:
First judging unit: for when described action data instruction movement range is more than when setting first threshold, it is judged that use
The sleep state at family is either shallow sleep or wake up, maybe will wake up；
Second judging unit: for when described action data instruction movement range is less than when setting Second Threshold, it is judged that use
The sleep state at family is deep sleep or either shallow sleep.
Optionally, when described sleep state data include action data, described sleep state data acquisition module is at least
Including:
Image Acquisition submodule: for obtaining user images by image acquiring device；
Action data calculating sub module: for calculating the action data of user according to described user images.
Optionally, described action data computing unit specifically includes:
Profile acquiring unit: for obtaining user profile from described user images；
Action message extraction unit: obtain user action data for the user profile according at least two user images.
Optionally, described action data includes that movement range, described profile acquiring unit specifically include:
Image median calculation subelement: for described user images is carried out medium filtering process, it is thus achieved that in user images
Value；
Image binaryzation processes subelement: for according to described user images intermediate value, carry out described image at binaryzation
Reason；
Multiple dimensioned contours extract subelement: the image for obtaining described binary conversion treatment carries out wavelet transformation, extracts
Multiple dimensioned profile；
User profile obtains subelement: for obtaining user profile according to described multiple dimensioned profile；
Described action message extraction unit specifically includes:
Movement locus obtains subelement: use for utilizing frame difference method to calculate according to the user profile of at least two user images
The movement range at family.
Optionally, described image acquiring device includes infrared image acquisition device.
Optionally, when described sleep state data are voice data, described sleep state generation module specifically includes:
4th judging unit: for when described voice data instruction respiratory frequency is more than three threshold value set, it is judged that
The sleep state of user is either shallow sleep, maybe will wake up or wake up；
5th judging unit: during for being in the threshold range of setting when described voice data instruction respiratory frequency, it is judged that
The sleep state of user is either shallow sleep or deep sleep.
Optionally, when described sleep state data at least include voice data, described sleep state data acquisition module
At least include:
Acoustic information collecting unit: for being gathered the acoustic information of user by sound collection equipment；
Voice data computing unit: be used for calculating described acoustic information and obtain voice data.
Optionally, described acoustic information includes frequency and the tone information of sound；Described voice data computing unit is concrete
Including:
High-pass filtering processes subelement: the sound for sound collection equipment being collected carries out high-pass filtering process, obtains
Obtain tone information；
Time frequency analysis processes subelement: the sound for sound collection equipment being collected carries out time frequency analysis, it is thus achieved that institute
State the frequency information of sound；
Described device also includes:
Snoring condition judgment module: for judging the snoring state of user according to described sound frequency and tone information；
Snoring state recording module: be used for recording described snoring state.
Optionally, when described sleep state data include view data and voice data, described sleep state generates mould
Block specifically includes:
5th judging unit: for when described action data instruction movement range is more than setting first threshold and described sound
When data instruction respiratory frequency is in the threshold range of setting, it is judged that the sleep state of user is either shallow sleep；
6th judging unit: for when described action data instruction movement range is more than setting first threshold and described sound
When data instruction inhales frequency more than three threshold value set, it is judged that the sleep state of user maybe will be wakeeed up for wakeing up；
7th judging unit: for when described action data instruction movement range is less than setting Second Threshold and described sound
When data instruction respiratory frequency is in the threshold range of setting, it is judged that the sleep state of user is deep sleep；
8th judging unit: for when described action data instruction movement range is less than setting Second Threshold and voice data
When instruction respiratory frequency is more than three threshold value set, it is judged that the sleep state of user is either shallow sleep.
From the above it can be seen that sleep monitor method and device provided by the present invention, obtained by user images
Action data, obtains the sleep state of user by least one data in action data and voice data.Due to image and
Sound collection is relatively directly perceived, is susceptible to the interference of external environment, and is can directly reflecting of producing in sleep procedure of user
Dormant parameter, therefore, it is possible to improve sleep quality monitoring accuracy, has higher sleep quality monitoring effect.
Accompanying drawing explanation
Fig. 1 is the sleep monitor method flow schematic diagram of the embodiment of the present invention；
Fig. 2 is the sleep monitoring device structural representation of the embodiment of the present invention；
Fig. 3 is the sleep monitoring device structural representation of an embodiment of the present invention.
Detailed description of the invention
For making the technical problem to be solved in the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing and tool
Body embodiment is described in detail.
Present invention firstly provides a kind of sleep monitor method, as it is shown in figure 1, include:
Step 101: obtain the sleep state data of user；
Step 102: according to the sleep state of described sleep state data genaration user；
Described sleep state data at least include action data and/or voice data；Described action data is schemed according to user
As obtaining.
From the above it can be seen that the present invention provide sleep monitor method, it is possible to by gather user images and/or
Voice data obtains the sleep state of user, owing to image acquisition and Technology of Audio Collection are mature technology of the prior art,
Action data can be accurately acquired by image；Can intuitively obtain sleep state by sound, therefore the present invention can be relatively
For being accurately monitored sleep quality, beneficially user passes through sleep quality.
In the specific embodiment of the invention, described sleep state data can include other parameters, such as this length of one's sleep
Deng, in order to improve the accuracy that sleep state judges, described sleep state can also include the sleep history record etc. of user.
In the specific embodiment of the invention, after described step 102, also include:
Described sleep state is sent to user terminal, such as computer, mobile phone etc..Specifically can be by wired or wireless side
Formula transmission sleep state is to user terminal.
In some embodiments of the invention, when described sleep state data include action data, sleep described in described basis
Dormancy status data generates the dormant step of user and specifically includes:
When described action data instruction movement range is more than when setting first threshold, it is judged that the sleep state of user is either shallow
Sleep or wake up, maybe will wake up；
When described action data instruction movement range is less than when setting Second Threshold, it is judged that the sleep state of user is the degree of depth
Sleep.
In a particular embodiment, described first threshold is equal with Second Threshold.
In another specific embodiment, described first threshold and Second Threshold are 30%.
In one specific embodiment of the present invention, when described sleep state data include action data, described in described basis
The dormant step of sleep state data genaration user specifically includes:
When described action data instruction movement range more than set four threshold values time, operation of recording lasting time be longer than send out
The raw time.
More specifically, described 4th threshold value is 35%.
In the specific embodiment of the invention, when described sleep state data include action data, described acquisition user's
The step of sleep state data at least includes:
User images is obtained by image acquiring device；
The action data of user is calculated according to described user images.Owing to user's produced action in sleep procedure is
Reflect dormant important evidence, and consecutive image describes the action message of user intuitively, therefore can by image
Obtain accurate user action data, improve the accuracy of sleep monitor.
In the preferred embodiment, described image acquiring device includes common camera head and/or infrared eye, described
The step being obtained user images by image acquiring device is specifically included:
Light intensity by light detector unit detection shooting environmental；
When light intensity is more than the first setting value, obtain user images by common filming apparatus；
When light intensity is less than the second setting value, obtain user images by infrared shooting device；
Described second setting value is less than the first setting value.
In the specific embodiment of the invention, described infrared shooting device is infrared temperature instrument, can either be applicable to field on daytime
Scape, it is also possible to be applicable to night-time scene.
In the specific embodiment of the invention, the temperature provided by infrared thermography organically combines with airconditioning control, red
When the ambient temperature of outer thermal imaging system detection is less than the first set temperature value, airconditioning control temperature is raised；At infrared thermal imaging
When the ambient temperature of instrument detection is higher than the second set temperature value, airconditioning control temperature is reduced, provides the user comfortable sleep
Environment.
In some embodiments of the invention, the step of the described action data calculating user according to described user images is concrete
Including:
User profile is obtained from described user images；
User profile according at least two user images obtains user action data.Obtain user by user profile to move
Make data, it is possible to reduce amount of calculation, improve processing speed.
In some embodiments of the invention, described action data includes movement range, described obtains from described user images
The step taking user profile specifically includes:
Described user images is carried out medium filtering process, it is thus achieved that user images intermediate value；
According to described user images intermediate value, described image is carried out binary conversion treatment；
The image obtaining described binary conversion treatment carries out wavelet transformation, extracts multiple dimensioned profile；
User profile is obtained according to described multiple dimensioned profile；
The user profile of described at least two user images of basis obtains the step of user action information and specifically includes:
User profile according at least two user images utilizes frame difference method to calculate the movement range of user.Pass through frame difference method
Calculate the movement range of user, have and calculate the advantage that speed is fast, real-time is high, accuracy is high.
By difference frame algorithm, contrast current image frame and the variable quantity of a upper picture frame, circular is:
Movement range=(Σ Picture (i)-Σ Picture (i-1))/Σ Picture (i)
Owing to image passes through binary conversion treatment, the pixel in image all can be by numeric representation, and described numerical value is by 0 He
1 composition, obtains data Σ Picture (i) after the cumulative summation of current image frame, obtains data Σ after the cumulative summation of a upper picture frame
Picture (i-1), the cumulative data of current image frame takes difference with the cumulative data of a upper picture frame frame, and calculates difference change
Change amount.
Described medium filtering processing mode can also use other image smoothing method to replace, described image smoothing method energy
Enough choose the filtering algorithm preferably retaining image border.
Multi-scale wavelet transformation method is to extract the preferable method of image outline, and the image outline got is the most smooth.?
In other embodiments, many out-degree Wavelet Transform can be replaced with other image outline extracting method, such as morphological approach, is often
Use Digital Signal Processing instrument, be not limited to multi-scale wavelet transformation method.
In some embodiments of the invention, when described sleep state data are voice data, described according to described sleep
Status data generates the dormant step of user and specifically includes:
When described voice data instruction respiratory frequency is more than three threshold value set, it is judged that the sleep state of user is shallow
Degree is slept, maybe will be wakeeed up or wake up；
When described voice data instruction respiratory frequency is in the threshold range of setting, it is judged that the sleep state of user is deep
Degree sleep.
In the specific embodiment of the invention, if either shallow sleep state and awake state need to be distinguished, maybe needs to distinguish either shallow sleep
State with will awake state, can judge this length of one's sleep in conjunction with user.Such as, when distance time for falling asleep is less than setting
When determining very first time scope, if voice data instruction respiratory frequency is more than the 3rd threshold value set, can determine whether to be in either shallow sleep
State.When being more than, apart from time for falling asleep, the second time range set, if voice data instruction respiratory frequency is more than setting
3rd threshold value, can determine whether to be in and wake up or will awake state.For another example, when distance time for falling asleep is less than the very first time model set
When enclosing, if action data instruction movement range is more than the first threshold set, can determine whether to be in either shallow sleep state.When distance enters
When time of sleeping is more than the second time range set, if action data instruction movement range is more than the first threshold set, can sentence
Disconnected being in is wakeeed up or will awake state.
In some embodiments of the invention, when described sleep state data at least include voice data, described acquisition is used
The step of the sleep state data at family at least includes:
The acoustic information of user is gathered by sound collection equipment；
Calculate described acoustic information and obtain voice data.
In some embodiments of the invention, described acoustic information includes frequency and the tone information of sound；Described calculating institute
The step stating acoustic information acquisition voice data specifically includes:
Sound sound collection equipment collected carries out high-pass filtering process and time frequency analysis, it is thus achieved that described sound
Frequency and tone information；
Described method also includes:
Snoring state the record of user is judged according to described sound frequency and tone information.
In the specific embodiment of the invention, described image acquiring device is infrared temperature instrument or thermal infrared imaging camera,
Owing to infrared temperature instrument and thermal infrared imaging camera are the lowest to placed angle and status requirement, it is possible in the room at user place
Most of station acquisition user's sleep state under image, detect action data by image under user's sleep state, its
Middle action data includes action frequency and time, movement range etc.；Record acoustic information simultaneously, obtain sound by acoustic information
Data, wherein voice data includes respiratory frequency and snoring situation；In conjunction with action data, the sleep shape of voice data generation user
State, and action frequency and time, snoring situation etc. are carried out record, for reference, it is achieved dormant monitoring.
In the specific embodiment of the invention, the method that described time frequency analysis specifically uses is Short Time Fourier Transform method.By
Simple in breath signal frequency content, short time discrete Fourier transform also can be by time frequency analysis sides such as Wigner distribution, Fourier transforms
Method substitutes, and conventional method can realize the spectrum analysis of respiratory frequency and Breathiness.
In the specific embodiment of the invention, the important input that Breathiness frequency judges as snoring, if frequency is beyond 20
Secondary/min, then it is assumed that breathe fast, 15-20 min then think that breathing is slow.In certain embodiments, described method also includes:
Frequency of respiration is less than setting frequency of respiration limit value alarm.
In the preferred embodiment, described frequency of respiration limit value is any number less than or equal to 15 times/min.Such as, breathe
Number of times limit value is 10, then, when the frequency of described sound is less than 10 times/min, carry out operation of reporting to the police.
In some embodiments of the invention, when described sleep state data include view data and voice data, described
Dormant step according to described sleep state data genaration user specifically includes:
When described action data instruction movement range is more than setting first threshold and described voice data instruction respiratory frequency
When being in the threshold range of setting, it is judged that the sleep state of user is either shallow sleep；
When described action data instruction movement range is big more than setting first threshold and described voice data instruction suction frequency
When three threshold value set, it is judged that the sleep state of user maybe will be wakeeed up for wakeing up；
When described action data instruction movement range is less than setting Second Threshold and described voice data instruction respiratory frequency
When being in the threshold range of setting, it is judged that the sleep state of user is deep sleep；
When described action data instruction movement range is more than less than setting Second Threshold and voice data instruction respiratory frequency
During three threshold value set, it is judged that the sleep state of user is either shallow sleep.
In the specific embodiment of the invention, use the user's body in infrared thermography/infrared camera collection sleep
Image, by process and the identification of image, analyzes health in user's sleep and moves number of times, as the big action such as stood up.Pass through frame
Difference method finds the picture that generation action changes, and records the time.The classification tool using maturation in currently available technology will
Different action is sorted out, be divided into stand up, the different classification such as yaw.It addition, gather the sound of snoring in user's sleep, with the time
Synchronous recording gets off；In time series, analyze the length of one's sleep and action produces interval and carries out record, it is possible to user is understood
Its sleep quality provides important evidence.By the sleep quality of the record analysis user of image and sound, finally export to user
One sleep state the whole night.The user's sleep state obtained in conjunction with sound and image information, it is possible to there is higher degree of accuracy；?
Analyze while sleep state and record data intuitively, it is possible to provide important for the follow-up hypnograph of consulting of user and directly depend on
According to.
In the specific embodiment of the invention, obtained and analyze user and the change of user's environment temperature by infrared thermography
Change situation, according to body temperature and the change of surrounding air and whether detect that user creates and represent cold or hot action, analysis is
No to air-conditioner temperature adjustment；Simultaneously can be by the infrared thermography distance to the room-size at user place and air-conditioning with user
Provide the wind-force and refrigeration tended to be reasonable or heat temperature.
The sleep state judging user is combined with voice data, it is possible to increase sleep state judges by action data
Accuracy, thus improve effect and the value of sleep quality detection.
Meanwhile, the present invention provides a kind of sleep monitoring device, and structure is as in figure 2 it is shown, include:
Sleep state data acquisition module 201: for obtaining the sleep state data of user；
Sleep state generation module 202: for the sleep state according to described sleep state data genaration user；
Described sleep state data at least include action data and/or voice data；Described action data is schemed according to user
As obtaining.
In some embodiments of the invention, when described sleep state data include action data, described sleep state is raw
Module is become to specifically include:
First judging unit: for when described action data instruction movement range is more than when setting first threshold, it is judged that use
The sleep state at family is either shallow sleep or wake up, maybe will wake up；
Second judging unit: for when described action data instruction movement range is less than when setting Second Threshold, it is judged that use
The sleep state at family is deep sleep or either shallow sleep.
In some embodiments of the invention, when described sleep state data include action data, described sleep state number
At least include according to acquisition module:
Image Acquisition submodule: for obtaining user images by image acquiring device；
Action data calculating sub module: for calculating the action data of user according to described user images.
In some embodiments of the invention, described action data computing unit specifically includes:
Profile acquiring unit: for obtaining user profile from described user images；
Action message extraction unit: obtain user action data for the user profile according at least two user images.
In some embodiments of the invention, described profile acquiring unit specifically includes:
Image median calculation subelement: for described user images is carried out medium filtering process, it is thus achieved that in user images
Value；
Image binaryzation processes subelement: for according to described user images intermediate value, carry out described image at binaryzation
Reason；
Multiple dimensioned contours extract subelement: the image for obtaining described binary conversion treatment carries out wavelet transformation, extracts
Multiple dimensioned profile；
User profile obtains subelement: for obtaining user profile according to described multiple dimensioned profile；
Described action message extraction unit specifically includes:
Movement locus obtains subelement: use for utilizing frame difference method to calculate according to the user profile of at least two user images
The movement locus at family；
Movement locus computation subunit: for determining user action information according to acquired movement locus.
In some embodiments of the invention, when described sleep state data are voice data, described sleep state generates
Module specifically includes:
4th judging unit: for when described voice data instruction respiratory frequency is more than three threshold value set, it is judged that
The sleep state of user is either shallow sleep, maybe will wake up or wake up；
5th judging unit: during for being in the threshold range of setting when described voice data instruction respiratory frequency, it is judged that
The sleep state of user is either shallow sleep or deep sleep.
In some embodiments of the invention, when described sleep state data at least include voice data, described sleep shape
State data acquisition module at least includes:
Acoustic information collecting unit: for being gathered the acoustic information of user by sound collection equipment；
Voice data computing unit: be used for calculating described acoustic information and obtain voice data.
In some embodiments of the invention, described acoustic information includes frequency and the tone information of sound；Described sound number
Specifically include according to computing unit:
High-pass filtering processes subelement: the sound for sound collection equipment being collected carries out high-pass filtering process, obtains
Obtain tone information；
Time frequency analysis processes subelement: the sound for sound collection equipment being collected carries out time frequency analysis, it is thus achieved that institute
State the frequency information of sound；
Described device also includes:
Snoring condition judgment module: for judging the snoring state of user according to described sound frequency and tone information；
Snoring state recording module: be used for recording described snoring state.
In some embodiments of the invention, when described sleep state data include view data and voice data, described
Sleep state generation module specifically includes:
5th judging unit: for when described action data instruction movement range is more than setting first threshold and described sound
When data instruction respiratory frequency is in the threshold range of setting, it is judged that the sleep state of user is either shallow sleep；
6th judging unit: for when described action data instruction movement range is more than setting first threshold and described sound
When the instruction of sound data inhales frequency more than three threshold value set, it is judged that the sleep state of user maybe will be wakeeed up for wakeing up；
7th judging unit: for when described action data instruction movement range is less than setting Second Threshold and described sound
When data instruction respiratory frequency is in the threshold range of setting, it is judged that the sleep state of user is deep sleep；
8th judging unit: for when described action data instruction movement range is less than setting Second Threshold and voice data
When instruction respiratory frequency is more than three threshold value set, it is judged that the sleep state of user is either shallow sleep.
In one specific embodiment of the present invention, described sleep monitoring device is integrated in air-conditioning.
In some embodiments of the invention, as it is shown on figure 3, described sleep monitoring device specifically includes: sleep state data
Acquisition module, wireless module 303, temperature control system 304, temperature measuring equipment 305；Wherein, sleep state data acquisition mould
Block farther includes Image Acquisition submodule 301, acoustic information collecting unit 302.Sleep monitoring device also includes sleep state
Generation module, is arranged on central processing unit 306；Corresponding to Image Acquisition submodule 301, acoustic information collecting unit 302, sleep
Dormancy state generation module farther includes action data calculating sub module, voice data computing unit.Image Acquisition submodule
301, acoustic information collecting unit 302, wireless module 303, temperature control system 304, temperature measuring equipment 305 are all and centre
Reason device 306 connects.Image Acquisition submodule 301, acoustic information collecting unit 302 are used for gathering sleep state data, Yong Huke
Select to enable Image Acquisition submodule 301 and/or acoustic information collecting unit 302, sleep state data warp according to use demand
Cross the sleep state generation module on central processing unit 306 to process, it is thus achieved that sleep state.Central processing unit 306 can lead to further
The temperature value crossing sleep state and temperature measuring equipment 305 measurement calculates the temperature value now needing to adjust, by temperature control
System 304 controls the leaving air temp of connected air-conditioning.Further, sleep state can be sent to use via wireless module 303
Family terminal.
From the above it can be seen that sleep monitor method and device provided by the present invention, obtained by user images
Action data, obtains the sleep state of user by least one data in action data and voice data.Due to image and
Sound collection is relatively directly perceived, is susceptible to the interference of external environment, and is can directly reflecting of producing in sleep procedure of user
Dormant parameter, therefore, it is possible to improve sleep quality monitoring accuracy, has higher sleep quality monitoring effect.
Should be appreciated that the multiple embodiments described by this specification are merely to illustrate and explain the present invention, be not used to limit
Determine the present invention.And in the case of not conflicting, the embodiment in the application and the feature in embodiment can be mutually combined.
Obviously, those skilled in the art can carry out various change and the modification essence without deviating from the present invention to the present invention
God and scope.So, if these amendments of the present invention and modification belong to the scope of the claims in the present invention and equivalent technologies thereof
Within, then the present invention is also intended to comprise these change and modification.
Claims (19)
1. a sleep monitor method, it is characterised in that including:
Obtain the sleep state data of user；
Sleep state according to described sleep state data genaration user；
Described sleep state data at least include action data and/or voice data；Described action data obtains according to user images
?.
Method the most according to claim 1, it is characterised in that when described sleep state data include action data, institute
State the dormant step according to described sleep state data genaration user to specifically include:
When described action data instruction movement range is more than when setting first threshold, it is judged that the sleep state of user is that either shallow is slept
Sleep or wake up, maybe will wake up；
When described action data instruction movement range is less than when setting Second Threshold, it is judged that the sleep state of user is that the degree of depth is slept
Sleep.
Method the most according to claim 1, it is characterised in that when described sleep state data include action data, institute
The step stating the sleep state data obtaining user at least includes:
User images is obtained by image acquiring device；
The action data of user is calculated according to described user images.
Method the most according to claim 3, it is characterised in that described action data includes movement range；Described according to institute
The step stating the action data that user images calculates user specifically includes:
User profile is obtained from described user images；
User profile according at least two user images obtains user action amplitude.
Method the most according to claim 1, it is characterised in that described action data includes action frequency.
Method the most according to claim 1, it is characterised in that when described sleep state data are voice data, described
Dormant step according to described sleep state data genaration user specifically includes:
When described voice data instruction respiratory frequency is more than three threshold value set, it is judged that the sleep state of user is that either shallow is slept
Sleep, maybe will wake up or wake up；
When described voice data instruction respiratory frequency is in the threshold range of setting, it is judged that the sleep state of user is that the degree of depth is slept
Sleep.
Method the most according to claim 1, it is characterised in that when described sleep state data at least include voice data
Time, the step of the sleep state data of described acquisition user at least includes:
The acoustic information of user is gathered by sound collection equipment；
Calculate described acoustic information and obtain voice data.
Method the most according to claim 7, it is characterised in that described acoustic information includes frequency and the tone letter of sound
Breath；The described acoustic information of described calculating obtains the step of voice data and specifically includes:
Sound sound collection equipment collected carries out high-pass filtering process and time frequency analysis, it is thus achieved that the frequency of described sound
And tone information；
Described method also includes:
Snoring state the record of user is judged according to described sound frequency and tone information.
Method the most according to claim 1, it is characterised in that when described sleep state data include view data and sound
During data, the described dormant step according to described sleep state data genaration user specifically includes:
When described action data instruction movement range is in more than setting first threshold and described voice data instruction respiratory frequency
During the threshold range set, it is judged that the sleep state of user is either shallow sleep；
When described action data instruction movement range is more than more than setting first threshold and described voice data instruction respiratory frequency
During three threshold value set, it is judged that the sleep state of user maybe will be wakeeed up for wakeing up；
When described action data instruction movement range is in less than setting Second Threshold and described voice data instruction respiratory frequency
During the threshold range set, it is judged that the sleep state of user is deep sleep；
When described action data instruction movement range is less than setting Second Threshold and voice data instruction respiratory frequency more than setting
Three threshold values time, it is judged that the sleep state of user be either shallow sleep.
10. a sleep monitoring device, it is characterised in that including:
Sleep state data acquisition module: for obtaining the sleep state data of user；
Sleep state generation module: for the sleep state according to described sleep state data genaration user；
Described sleep state data at least include action data and/or voice data；Described action data obtains according to user images
?.
11. devices according to claim 10, it is characterised in that when described sleep state data include action data,
Described sleep state generation module specifically includes:
First judging unit: for when described action data instruction movement range is more than when setting first threshold, it is judged that user's
Sleep state is either shallow sleep or wake up, maybe will wake up；
Second judging unit: for when described action data instruction movement range is less than when setting Second Threshold, it is judged that user's
Sleep state is deep sleep.
12. devices according to claim 10, it is characterised in that when described sleep state data include action data,
Described sleep state data acquisition module at least includes:
Image Acquisition submodule: for obtaining user images by image acquiring device；
Action data calculating sub module: for calculating the action data of user according to described user images.
13. devices according to claim 12, it is characterised in that described action data calculating sub module specifically includes:
Profile acquiring unit: for obtaining user profile from described user images；
Action message extraction unit: obtain user action data for the user profile according at least two user images.
14. devices according to claim 13, it is characterised in that described action data includes movement range, described profile
Acquiring unit specifically includes:
Image median calculation subelement: for described user images is carried out medium filtering process, it is thus achieved that user images intermediate value；
Image binaryzation processes subelement: for according to described user images intermediate value, described image is carried out binary conversion treatment；
Multiple dimensioned contours extract subelement: the image for obtaining described binary conversion treatment carries out wavelet transformation, extracts many chis
Degree profile；
User profile obtains subelement: for obtaining user profile according to described multiple dimensioned profile；
Described action message extraction unit specifically includes:
Movement locus obtains subelement: for utilizing frame difference method to calculate user's according to the user profile of at least two user images
Movement range.
15. devices according to claim 12, it is characterised in that described image acquiring device includes that infrared image obtains dress
Put.
16. devices according to claim 10, it is characterised in that when described sleep state data are voice data, institute
State sleep state generation module to specifically include:
4th judging unit: for when described voice data instruction respiratory frequency is more than three threshold value set, it is judged that user
Sleep state be either shallow sleep, maybe will wake up or wake up；
5th judging unit: during for being in the threshold range of setting when described voice data instruction respiratory frequency, it is judged that user
Sleep state be deep sleep.
17. devices according to claim 10, it is characterised in that when described sleep state data at least include voice data
Time, described sleep state data acquisition module at least includes:
Acoustic information collecting unit: for being gathered the acoustic information of user by sound collection equipment；
Voice data computing unit: be used for calculating described acoustic information and obtain voice data.
18. devices according to claim 17, it is characterised in that described acoustic information includes frequency and the tone letter of sound
Breath；Described voice data computing unit specifically includes:
High-pass filtering processes subelement: the sound for sound collection equipment being collected carries out high-pass filtering process, it is thus achieved that sound
Tune information；
Time frequency analysis processes subelement: the sound for sound collection equipment being collected carries out time frequency analysis, it is thus achieved that described sound
The frequency information of sound；
Described device also includes:
Snoring condition judgment module: for judging the snoring state of user according to described sound frequency and tone information；
Snoring state recording module: be used for recording described snoring state.
19. devices according to claim 10, it is characterised in that when described sleep state data include view data harmony
During sound data, described sleep state generation module specifically includes:
5th judging unit: for when described action data instruction movement range is more than setting first threshold and described voice data
When instruction respiratory frequency is in the threshold range of setting, it is judged that the sleep state of user is either shallow sleep；
6th judging unit: for when described action data instruction movement range is more than setting first threshold and described voice data
When instruction inhales frequency more than three threshold value set, it is judged that the sleep state of user maybe will be wakeeed up for wakeing up；
7th judging unit: for when described action data instruction movement range is less than setting Second Threshold and described voice data
When instruction respiratory frequency is in the threshold range of setting, it is judged that the sleep state of user is deep sleep；
8th judging unit: for when described action data instruction movement range is less than setting Second Threshold and voice data instruction
When respiratory frequency is more than three threshold value set, it is judged that the sleep state of user is either shallow sleep.
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| CN108985180A (en) * | 2018-06-22 | 2018-12-11 | 张小勇 | Data processing method and system |
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| CN109084432A (en) * | 2018-08-20 | 2018-12-25 | 广东美的暖通设备有限公司 | The regulation method and air conditioner of sleep environment |
| CN109323416A (en) * | 2018-09-30 | 2019-02-12 | 广东美的制冷设备有限公司 | Air conditioner and its control method and device |
| CN109567747A (en) * | 2018-11-09 | 2019-04-05 | 速眠创新科技（深圳）有限公司 | Sleep monitor method, apparatus, computer equipment and storage medium |
| CN111367329A (en) * | 2018-12-26 | 2020-07-03 | 广州慧睿思通信息科技有限公司 | Environmental temperature control method and device |
| CN110285547A (en) * | 2019-06-27 | 2019-09-27 | 广东美的制冷设备有限公司 | Air conditioner and its control method and computer readable storage medium |
| CN110517660A (en) * | 2019-08-22 | 2019-11-29 | 珠海格力电器股份有限公司 | Noise reduction method and device based on embedded Linux real-time kernel |
| WO2021120007A1 (en) * | 2019-12-17 | 2021-06-24 | 深圳先进技术研究院 | Infrared image sequence-based sleep quality evaluation system and method |
| CN111772583A (en) * | 2020-06-30 | 2020-10-16 | 百度在线网络技术（北京）有限公司 | Sleep monitoring analysis method and device for intelligent sound box and electronic equipment |
| CN111772583B (en) * | 2020-06-30 | 2023-08-08 | 百度在线网络技术（北京）有限公司 | Sleep monitoring analysis method and device of intelligent sound box and electronic equipment |
| CN112283906A (en) * | 2020-10-22 | 2021-01-29 | 佛山市顺德区美的电子科技有限公司 | Air conditioner control method and device, control equipment, air conditioner and storage medium |
| CN112826461A (en) * | 2020-12-30 | 2021-05-25 | 深圳市携康网络科技有限公司 | Sleep analysis method, system, computer device and storage medium |
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| CN115137315A (en) * | 2022-09-06 | 2022-10-04 | 深圳市心流科技有限公司 | Sleep environment scoring method, device, terminal and storage medium |
| TWI835502B (en) * | 2023-01-03 | 2024-03-11 | 臺北醫學大學 | sleep assessment system |
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