CN106236013A - A kind of sleep monitor method and device - Google Patents

A kind of sleep monitor method and device Download PDF

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Publication number
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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China
Prior art keywords
user
sleep state
data
sleep
threshold
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CN201610459933.6A
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Chinese (zh)
Inventor
韩阳
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BOE Technology Group Co Ltd
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BOE Technology Group Co Ltd
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Priority to CN201610459933.6A priority Critical patent/CN106236013A/en
Publication of CN106236013A publication Critical patent/CN106236013A/en
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • A61B5/4809Sleep detection, i.e. determining whether a subject is asleep or not
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4806Sleep evaluation
    • A61B5/4812Detecting sleep stages or cycles

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

A kind of sleep monitor method and device
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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