CN108898090A - A kind of cloud is health management system arranged - Google Patents
A kind of cloud is health management system arranged Download PDFInfo
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- CN108898090A CN108898090A CN201810666481.8A CN201810666481A CN108898090A CN 108898090 A CN108898090 A CN 108898090A CN 201810666481 A CN201810666481 A CN 201810666481A CN 108898090 A CN108898090 A CN 108898090A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/174—Facial expression recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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Abstract
The present invention provides a kind of cloud is health management system arranged, including physiological parameter acquisition subsystem, Expression Recognition subsystem, cloud service platform and display module, the physiological parameter acquisition subsystem is used to acquire the physiological parameter of user, and the physiological parameter of acquisition is sent to cloud service platform, the Expression Recognition subsystem is for identifying user's expression, and Expression Recognition result is sent to cloud service platform, the cloud service platform determines the health status of user according to the physiological parameter and Expression Recognition result of user, the display module is for showing the health status of user.Beneficial effects of the present invention are：It is health management system arranged to provide a kind of cloud, by realizing accurate evaluation and the display of health status to physiological parameter and Expression Recognition.
Description
Technical field
The present invention relates to cloud service technical fields, and in particular to a kind of cloud is health management system arranged.
Background technique
It is existing it is health management system arranged be all based on it is local it is health management system arranged and traditional it is health management system arranged can not
Realize the identification of user's expression.Expression is as one of human emotion's understanding and the main carriers analyzed, in the assessment of health status
In be of great significance.
Summary of the invention
In view of the above-mentioned problems, the present invention is intended to provide a kind of cloud is health management system arranged.
The purpose of the present invention is realized using following technical scheme：
It is health management system arranged to provide a kind of cloud, including physiological parameter acquisition subsystem, Expression Recognition subsystem, cloud service
Platform and display module, the physiological parameter acquisition subsystem is used to acquire the physiological parameter of user, and the physiology of acquisition is joined
Number is sent to cloud service platform, and the Expression Recognition subsystem is for identifying user's expression, and by Expression Recognition result
It is sent to cloud service platform, the cloud service platform determines the health of user according to the physiological parameter and Expression Recognition result of user
Situation, the display module is for showing the health status of user.
Beneficial effects of the present invention are：It is health management system arranged to provide a kind of cloud, by physiological parameter and Expression Recognition,
Realize accurate evaluation and the display of health status.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is structural schematic diagram of the invention；
Appended drawing reference：
Physiological parameter acquisition subsystem 1, Expression Recognition subsystem 2, cloud service platform 3, display module 4.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, a kind of cloud of the present embodiment is health management system arranged, including physiological parameter acquisition subsystem 1, Expression Recognition
Subsystem 2, cloud service platform 3 and display module 4, the physiological parameter acquisition subsystem 1 are used to acquire the physiological parameter of user,
And the physiological parameter of acquisition is sent to cloud service platform 3, the Expression Recognition subsystem 2 is for knowing user's expression
Not, and by Expression Recognition result it is sent to cloud service platform 3, the cloud service platform 3 is according to the physiological parameter and expression of user
Recognition result determines the health status of user, and the display module 4 is for showing the health status of user.
It is health management system arranged to present embodiments provide a kind of cloud, by realizing health to physiological parameter and Expression Recognition
The accurate evaluation of situation and display.
Preferably, the Expression Recognition subsystem 3 includes that facial image obtains module, facial image preprocessing module, people
Face image characteristic extracting module, facial image Classification and Identification module, the facial image obtain module and use stereovision technique
Three-dimensional face images are obtained, the facial image preprocessing module is for pre-processing three-dimensional face images, the face
Image characteristics extraction module is used to extract to by pretreated three-dimensional face images feature, and the facial image classification is known
Other module identifies human face expression according to the feature of extraction.
This preferred implementation realizes the three-dimensional identification of human face expression, and compared to two-dimension human face Expression Recognition, recognition result is not
It is illuminated by the light the influence with external factor, obtained recognition result is more accurate.
Preferably, the facial image preprocessing module includes key point determining module and coordinate establishes module, the pass
For key point determining module for determining facial image key point, the coordinate establishes module for determining face coordinate according to key point
System；
The key point determining module is for determining facial image key point, specially：
The key point of face is determined according to face and organ contours, and key point is numbered：Left eye profile according to
4 points are counterclockwise uniformly acquired, the left eye configuration sampling point includes inner eye corner and the tail of the eye, and compiling respectively is 1 and 3,
It is 2,4 that remaining is compiled by sampling order, in mouth outer profile according to counterclockwise 4 points of uniform acquisition, the mouth outer profile
It include the right corners of the mouth and the left corners of the mouth in sampled point, and compiling respectively is 5 and 7, it is 6,8 that remaining is compiled by sampling order；
The coordinate establishes module for determining face coordinate system, specially：Using left eye inner eye corner as coordinate origin, build
Vertical three-dimensional cartesian coordinate system, is expressed as three-dimensional coordinate form for each point on face, then the key point respective coordinates that number is i
μi=(xi, yi, zi), xi, yi, ziRespectively indicate three coordinate components of the key point that number is i, i=1.2. ... .8；
This preferred embodiment, which passes through, to be determined face key point and establishes face coordinate system, is accurately extracted for subsequent face characteristic
It lays a good foundation, since human face expression is mainly manifested in eyes and mouth variation, chooses 8 key points of eyes and mouth profile and make
For subsequent characteristics extract foundation, guarantee to face characteristic accurately portray under facilitate promoted computational efficiency.
Preferably, the facial image characteristic extracting module includes fisrt feature extraction module, second feature extraction module
With Fusion Features module, the fisrt feature extraction module is used to extract the fisrt feature of three-dimensional face images, and described second is special
Sign extraction module is used to extract two features of three-dimensional face images, and the Fusion Features module is used for the fisrt feature and the
Two features are merged, and determine three-dimensional face images feature；
The fisrt feature extraction module is used to extract the fisrt feature of three-dimensional face images, specially：
If two straight line s1And s2Direction vector be respectivelyWithThen s1And s2Inclination index β be：
In formula,WithRespectivelyWithMould；
By fisrt feature W1It is expressed as：W1=(w1, w2, w3)；
Wherein,w2=β (μ2-μ3, μ4-μ3),
The second feature extraction module is used to extract two features of three-dimensional face images, specially：
By second feature W2It is expressed as：W2=(w4, w5, w6)
Wherein,w5=β (μ6-μ7, μ8-μ7),
The Fusion Features module determines three-dimensional face images for merging to the fisrt feature and second feature
Feature, specially：Three-dimensional face images feature W is determined according to fisrt feature and second feature：W=(w1, w2, w3, w4, w5, w6)。
When human face expression changes, the movement of facial muscles will lead to face local organs, and deformation occurs and displacement,
And eyes and mouth are the notable features that human face expression is most easily noticeable.This preferred embodiment is special according to inclination index extraction first
Second feature of seeking peace describes the change in shape of face local organs, keeps it more effective to the characterization of human face expression variation, facilitates
The subsequent accuracy for improving facial expression recognition, specifically, fisrt feature reflects the variation of eyes, second feature reflects mouth
Bar variation.
Through the above description of the embodiments, those skilled in the art can be understood that it should be appreciated that can
To realize the embodiments described herein with hardware, software, firmware, middleware, code or its any appropriate combination.For hardware
It realizes, processor can be realized in one or more the following units：Specific integrated circuit (ASIC), digital signal processor
(DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processing
Device, controller, microcontroller, microprocessor, other electronic units designed for realizing functions described herein or combinations thereof.
For software implementations, some or all of embodiment process can instruct relevant hardware to complete by computer program.
When realization, above procedure can be stored in computer-readable medium or as the one or more on computer-readable medium
Instruction or code are transmitted.Computer-readable medium includes computer storage media and communication media, wherein communication media packet
It includes convenient for from a place to any medium of another place transmission computer program.Storage medium can be computer can
Any usable medium of access.Computer-readable medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other
Optical disc storage, magnetic disk storage medium or other magnetic storage apparatus or can be used in carry or store have instruction or data
The desired program code of structure type simultaneously can be by any other medium of computer access.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (7)
1. a kind of cloud is health management system arranged, which is characterized in that including physiological parameter acquisition subsystem, Expression Recognition subsystem, cloud
Service platform and display module, the physiological parameter acquisition subsystem are used to acquire the physiological parameter of user, and by the life of acquisition
Reason parameter is sent to cloud service platform, and the Expression Recognition subsystem is for identifying user's expression, and by Expression Recognition
As a result it is sent to cloud service platform, the cloud service platform determines user's according to the physiological parameter and Expression Recognition result of user
Health status, the display module is for showing the health status of user.
2. cloud according to claim 1 is health management system arranged, which is characterized in that the Expression Recognition subsystem includes face
Image collection module, facial image preprocessing module, facial image characteristic extracting module, facial image Classification and Identification module, institute
It states facial image and obtains module using stereovision technique acquisition three-dimensional face images, the facial image preprocessing module is used for
Three-dimensional face images are pre-processed, the facial image characteristic extracting module is used for by pretreated three-dimensional face figure
As feature extracts, the facial image Classification and Identification module identifies human face expression according to the feature of extraction.
3. cloud according to claim 2 is health management system arranged, which is characterized in that the facial image preprocessing module includes
Key point determining module and coordinate establish module, and the key point determining module is for determining facial image key point, the seat
Mark establishes module for determining face coordinate system according to key point.
4. cloud according to claim 3 is health management system arranged, which is characterized in that the key point determining module is for determining
Facial image key point, specially：
The key point of face is determined according to face and organ contours, and key point is numbered：In left eye profile according to the inverse time
Needle direction uniformly acquires 4 points, and the left eye configuration sampling point includes inner eye corner and the tail of the eye, and compiling respectively is 1 and 3, remaining
Compiling by sampling order is 2,4, in mouth outer profile according to counterclockwise 4 points of uniform acquisition, the mouth outer profile sampling
It include the right corners of the mouth and the left corners of the mouth in point, and compiling respectively is 5 and 7, it is 6,8 that remaining is compiled by sampling order.
5. cloud according to claim 4 is health management system arranged, which is characterized in that the coordinate establishes module for determining people
Face coordinate system, specially：Using left eye inner eye corner as coordinate origin, three-dimensional cartesian coordinate system is established, by each point on face
It is expressed as three-dimensional coordinate form, then the key point respective coordinates μ that number is ii=(xi,yi,zi), xi,yi,ziRespectively indicate number
For three coordinate components of the key point of i, i=1.2. ... .8.
6. cloud according to claim 5 is health management system arranged, which is characterized in that the facial image characteristic extracting module packet
Fisrt feature extraction module, second feature extraction module and Fusion Features module are included, the fisrt feature extraction module is for mentioning
The fisrt feature of three-dimensional face images is taken, the second feature extraction module is used to extract two features of three-dimensional face images, institute
Fusion Features module is stated for merging to the fisrt feature and second feature, determines three-dimensional face images feature.
7. cloud according to claim 6 is health management system arranged, which is characterized in that the fisrt feature extraction module is for mentioning
The fisrt feature of three-dimensional face images is taken, specially：
If two straight line s1And s2Direction vector be respectivelyWithThen s1And s2Inclination index β be：
In formula,WithRespectivelyWithMould；
By fisrt feature W1It is expressed as：W1=(w1, w2, w3)；
Wherein,w2=β (μ2-μ3,μ4-μ3),
The second feature extraction module is used to extract two features of three-dimensional face images, specially：
By second feature W2It is expressed as：W2=(w4, w5, w6)
Wherein,w5=β (μ6-μ7,μ8-μ7),
The Fusion Features module determines three-dimensional face images spy for merging to the fisrt feature and second feature
Sign, specially：Three-dimensional face images feature W is determined according to fisrt feature and second feature：W=(w1, w2, w3, w4, w5, w6)。
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Application publication date: 20181127 |