CN103690149B - Taken pictures by face and identify mobile terminal and its implementation of physical condition - Google Patents
Taken pictures by face and identify mobile terminal and its implementation of physical condition Download PDFInfo
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Abstract
The invention discloses a kind of being taken pictures by face and identify the mobile terminal of physical condition and its implementation, including step: A, pre-build face each several part state and physical condition data base one to one and store；B, acquisition face information, and the face information obtained is identified, identify the fine-characterization of face each several part；The fine-characterization of the face each several part that C, basis identify, searches the physical condition information of the fine-characterization of corresponding face in described data base, and shows the physical condition information corresponding with described face fine-characterization.Use the present invention can be taken pictures by face and identify the function of physical condition, utilize the photograph taken at any time, by image recognition processing technology, judge the health anomalies at some position of current body according to the face feature of different parts or Novel presentation, and corresponding tonic scheme or Health & Fitness Tip are provided.
Description
Technical field
The present invention relates to field of mobile terminals, a kind of being taken pictures by face identifies mobile terminal and its implementation of physical condition.
Background technology
Along with the development of mobile communication and improving constantly of people's living standard, the use of various mobile terminal such as mobile phones is more and more universal, and mobile phone has become as indispensable means of communication in people's life.
The cell-phone function of prior art gets more and more, but does not has: being taken pictures by face identifies the function of physical condition.And human lives's operating pressure is increasing now, the indisposition on health brought therewith, minor issue etc. also gets more and more.But these potential little diseases are seldom paid close attention to by everybody or seldom can just go to hospital because of some minor issues.It practice, a lot of diseases are to have a lot of outward manifestation on human body in the early stage, if we pay close attention to health in time passes to our these warning information, conditioning in time or treatment, be to be easy to nip in the bud a lot of diseases.The health of let us is more healthy, beautiful.
Simultaneously at present the mankind are increasingly dependent on the use of communication terminal, and such as mobile phone etc., but the mobile phone of prior art does not has: being taken pictures by face identifies the function of physical condition.
Therefore, prior art has yet to be improved and developed.
Summary of the invention
The technical problem to be solved in the present invention is, for the drawbacks described above of prior art, it is provided that a kind of being taken pictures by face identifies mobile terminal and its implementation of physical condition.It makes mobile terminal such as mobile phone etc. add New function: is taken pictures by face and identifies the function of physical condition.Can realize being monitored in real time by mobile phone the health status of user by the camera function on mobile phone and image identification function, be demonstrated some good suggestions simultaneously.Simply, convenient, bring guidance to efficiently the health of user.
It is as follows that the present invention solves the technical scheme that technical problem used:
A kind of being taken pictures by face identifies the mobile terminal implementation method of physical condition, including step:
A, pre-build face each several part state and physical condition data base one to one and store；
B, acquisition face information, and the face information obtained is identified, identify the fine-characterization of face each several part；
The fine-characterization of the face each several part that C, basis identify, searches the physical condition information of the fine-characterization of corresponding face in described data base, and shows the physical condition information corresponding with described face fine-characterization.
Described being taken pictures by face identifies the mobile terminal implementation method of physical condition, and wherein, described step A also includes:
And in data base, set up the health guidance information corresponding with the physical condition of face each several part state response.
Described being taken pictures by face identifies the mobile terminal implementation method of physical condition, wherein, also includes after described step C:
D physical condition information corresponding to described face fine-characterization according to display, search corresponding health guidance information and point out.
Described being taken pictures by face identifies the mobile terminal implementation method of physical condition, and wherein, described step A specifically includes:
A1, face each several part is divided into eye feature, facial characteristics and tongue feature；
A2, set up face eye feature and physical condition the first health status table one to one and store in the database；Set up face features to store in the database with physical condition the second health status table one to one, and set up people's tongue feature with physical condition the 3rd health status table storage one to one in the database.
Described being taken pictures by face identifies the mobile terminal implementation method of physical condition, and wherein, the face information to acquisition in described step B is identified including:
Eye recognition, facial recognition and tongue identification.
Described being taken pictures by face identifies the mobile terminal implementation method of physical condition, and wherein, described step B specifically includes:
B1, by taking pictures or stored photograph, obtain the human face photo information of current test person, described human face photo information includes mug shot and/or tongue photo;
B2, acquired human face photo information is carried out respectively eye detection, the detection of face face and tongue detection, identify the eye fine-characterization of face, face fine-characterization and tongue fine-characterization respectively.
Described being taken pictures by face identifies the mobile terminal implementation method of physical condition, and wherein, described step B2 specifically includes:
Eye is detected by B21, employing template method of identification, first stores the eye Prototype drawing under Different Red blood streak state and under different eye portion secretion states in data base respectively；
B22, extract the Partial Feature vector value of eyes to be measured and be combined into characteristic vector, and again the characteristic vector of combination is encoded, the characteristic vector after coding is mated with the characteristic vector in Prototype drawing；
B23, according to low, in, the threshold value that highly characteristic vector of eyes red blood streak or secretions eye template figure is arranged is distinguished in the range of which eyes to be measured belong to, and identifies with this and judges whether eyes has different grades of red blood streak and eye portion secretion.
Described being taken pictures by face identifies the mobile terminal implementation method of physical condition, and wherein, described step B2 the most also includes:
B31, detecting face face, by the data of collection, colourity Lab value with the standard face of all ages compares respectively；
B32, when tested face champac colourity b value compared with corresponding standard faces higher or on the low side, be belonging to face the most yellow, red green degree a value is the most higher, belongs to face the reddest, and L-value is higher, belongs to face partially white, and L-value is on the low side, belongs to face the most black.
Described being taken pictures by face identifies the mobile terminal implementation method of physical condition, and wherein, described step B2 the most also includes:
Tongue is detected by B41, employing recognition methods based on template, first gathers the CIE Lab value of healthy yellow race tongue picture as standard；
B42, then collection tested person's tongue image, obtain the LAB value of tested person's tongue image；
B43, the LAB value of tested person's tongue image and standard tongue trichromatic Lab value are carried out respectively contrast carry out judging to classify；
B44, identify and judge that tested person's tongue color is the most yellow, in vain, grey, black, or normally this several is deeply in love condition.
A kind of being taken pictures by face identifies the mobile terminal of physical condition, including with lower module:
Build library module, be used for pre-building face each several part state and physical condition data base one to one and store；
Identification module, is used for obtaining face information, and is identified the face information obtained, identify the fine-characterization of face each several part；
Display processing module, for the fine-characterization according to the face each several part identified, searches the physical condition information of the fine-characterization of corresponding face in described data base, and shows the physical condition information corresponding with described face fine-characterization；And according to the physical condition information corresponding to described face fine-characterization of display, search corresponding health guidance information and point out；
And use the method described in any of the above-described item to realize.
Provided by the present invention being taken pictures by face identifies mobile terminal and its implementation of physical condition, and it makes mobile terminal such as mobile phone etc. add New function: is taken pictures by face and identifies the function of physical condition.Utilize the photograph taken at any time, by image recognition processing technology, judge the health anomalies at some position of current body according to the feature of face different parts or Novel presentation, and corresponding tonic scheme or Health & Fitness Tip are provided.Even facial pores, blood streak situation judges skin humidity etc., provides skin care suggestion, significantly provides users with the convenient.
Accompanying drawing explanation
Fig. 1 is the present invention by face to take pictures the flow chart of the mobile terminal implementation method preferred embodiment identifying physical condition；
Fig. 2 is the present invention by face to take pictures the flow chart of the concrete Application Example of mobile terminal implementation method identifying physical condition.
Fig. 3 is the present invention by face to take pictures the functional module theory diagram of the mobile terminal preferred embodiment identifying physical condition.
Detailed description of the invention
For making the purpose of the present invention, technical scheme and advantage clearer, clear and definite, the present invention is described in more detail for the embodiment that develops simultaneously referring to the drawings.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
In theory of medicine, the organ of human body face organ correspondence health corresponding site.Wherein, the color of human body face organ and some disease of change its corresponding organ corresponding or abnormal occur.As: the small pox of human face's different parts occurs, pathological changes, the change of human face's face occurs in reflection health different parts, and pale or jaundice also maps the unmentionable disease of health.
According to tcm theory, the corresponding echo area of face organ is as follows:
Forehead: corresponding cardiovascular, relevant with stress；
At two glabellas and two eyebrows 1/2, with lung, pharynx, larynx is relevant；
With eyebrow tail at two eyebrows 1/2, relevant with liver；
Between two eyebrows at the bridge of the nose, cardiovascular and brain；
Between two eyebrows and nose, thoracic cavity；
Bridge of the nose stage casing, corresponding liver；
Outside the bridge of the nose, corresponding gallbladder；
Nose, corresponding spleen；
The wing of nose, corresponding stomach；
In people and mouth surrounding, corresponding reproductive system；
Cheekbone between ear, corresponding kidney；
Inclined outside below cheekbone, corresponding large intestine；
Inclined inner side below cheekbone, corresponding small intestinal；
Chin, corresponding kidney；Etc..
Refer to Fig. 1, Fig. 1 to be the present invention by face take pictures the flow chart of preferred embodiment of the mobile terminal implementation method identifying physical condition.
As it is shown in figure 1, described being taken pictures by face identifies the mobile terminal implementation method of physical condition, it comprises the following steps:
Step S100, pre-building face each several part state and physical condition data base one to one and store, this step S100 specifically includes:
Step S110, is divided into eye feature, facial characteristics and tongue feature by face each several part；
Step S120,
1) set up face eye feature to store in the database with physical condition the first health status table one to one；
2) set up face features to store in the database with physical condition the second health status table one to one；
3) set up people's tongue feature to store in the database with physical condition the 3rd health status table one to one.
By those data of pre-building and subsequent step gather to data compare, thus specifically judge the physical condition of human body.
It addition, also set up the health guidance information corresponding with the physical condition of face each several part state response in data base, after the physical condition measuring human body to be checked, and point out out corresponding health guidance information for reference.
Step S200, acquisition face information, and the face information obtained is identified, identify the fine-characterization of face each several part.
Wherein, the face information obtained is identified including by this step S200:
Eye recognition, facial recognition and tongue identification.
The fine-characterization of the face each several part that step S300, basis identify, searches the physical condition information of the fine-characterization of corresponding face in described data base, and shows the physical condition information corresponding with described face fine-characterization.
Wherein, step S200 specifically includes:
Step S210, by taking pictures or stored photograph, obtain the human face photo information of current test person, described human face photo information includes mug shot and/or tongue photo.
May choose whether to carry out health detection under photo preview pattern, if selecting to carry out health detection, then need first to judge to detect whether object is face, first carry out recognition of face.Recognition of face belongs to biometrics identification technology, the most broad development, is applied to a lot of technical field.Currently also there is the algorithm of a lot of recognition of face.Here have only to use a kind of simplest be also that geometric properties face identification method for recognition of face is judged currently to identify whether object is face the earliest.
Geometric properties algorithm cardinal principle is, face is mainly by compositions such as eyes, nose, faces.Use the shape to these facial characteristics and the geometric description of structural relation, be used for determining whether face.The geometric properties such as the tradition general Position Approximate and the shape that first use gray-level projection method (vertical gray-level projection and horizontal gray-level projection) to determine eye, nose, mouth etc., show with geometric vector, again by calculating eyes, nose, the characteristic points such as face distance each other, angle etc. carries out recognition of face.
This algorithm recognition speed is fast, and the internal memory of needs is little.If it is judged that be face, it is further continued for carrying out next step health detection；If it is judged that be non-face, then pop-up dialogue box, prompting please input face.
After treating that above-mentioned steps S210 Face datection terminates, it is judged that when result is face, then enter step S220, to the face correctly entered, carry out the detection of local different parts feature respectively.
The detection of step S220, eye detection that acquired human face photo information is carried out respectively, face face and tongue detection, identify the eye fine-characterization of face, face fine-characterization and tongue fine-characterization respectively, this step S220 specifically includes three groups of steps arranged side by side, particularly as follows:
First group:
Eye is detected by step S2221, employing template method of identification, first stores the eye Prototype drawing under Different Red blood streak state and under different eye portion secretion states in data base respectively；
Step S2222, extract the Partial Feature vector value of eyes to be measured and be combined into characteristic vector, and again the characteristic vector of combination is encoded, the characteristic vector after coding is mated with the characteristic vector in Prototype drawing；
Step S2223, according to low, in, the threshold value that highly characteristic vector of eyes red blood streak or secretions eye template figure is arranged is distinguished in the range of which eyes to be measured belong to, and identifies with this and judges whether eyes has different grades of red blood streak and eye portion secretion.
Eye detects, and eyes are by iris, sclera and pupil three part composition.The white of the eye part that sclera is i.e. commonly called as.Need the situation of red blood streak on the eye sclera i.e. white of the eye that detects, such as: whether have whether the size of the amount of red blood streak, red blood streak, and position, canthus, i.e. position between conjunctiva first quarter moon wall and cus lacrimalis have secretions and the size of secretions amount herein.
First, eye red blood streak is detected.Under normal circumstances, the white of the eye part of healthy eyes is to be dispersed with tiny capillary vessel in the cleanest white, and red blood streak eyes there will be and float over the red blood streak that white of the eye surface is relatively slightly longer.How many thicknesses according to the ocular disease order of severity blood streak are also different, say, that healthy eye and non-health eye exhibits feature out are different.The data so obtained the color samples of different health degree white of the eye parts are different.
Eye detection can be used template method of identification, first in storehouse, store the eye Prototype drawing under Different Red blood streak state and under different eye portion secretion state respectively, such as: healthy eye Prototype drawing, the most low red blood streak or eye portion secretion eye template figure, moderate red blood streak or secretions eye template figure, also have height red blood streak or secretions eye template figure.Then some characteristic vector values of eyes to be measured are extracted, such as eye widths, degree of opening, pupil position, sclera and the position of iris, the eigenvalues such as size, are combined into characteristic vector, then encode it, characteristic vector after coding is mated with the characteristic vector of template, according to low, in, the threshold value that highly characteristic vector of eyes red blood streak or secretions eye template figure is arranged is distinguished in the range of which eyes to be measured belong to.Judge whether eyes has the abnormal conditions such as red blood streak part and eye portion secretion accordingly, including red blood streak and the judgement of the number of secretions amount.
Low finally according to testing result, in or height eyes are abnormal reminds whether examinee is that slight fatigue is taken a good rest, moderate eyestrain or the possibility of eye conjunctivitis, or height eyes are abnormal, it is proposed that the situation such as seek medical advice.
Second group:
Step S2231, detecting face face, by the data of collection, colourity Lab value with the standard face of all ages compares respectively；
Step S2232, when tested face champac colourity b value compared with corresponding standard faces higher or on the low side, be belonging to face the most yellow, red green degree a value is the most higher, belongs to face the reddest, and L-value is higher, belongs to face partially white, and L-value is on the low side, belongs to face the most black.
First face face is detected.The colourity of all colours is all made up of the accounting that red-green-blue is different.It addition, saturation and brightness also have a certain degree of impact to the performance of color.According to CIE(chromaticity diagram) the colorimeter system CIE Lab colorimeter system that specifies.A certain color value is separated into three primary colors and is converted into L, a, b value.L dominant response skin blackness, a value dominant response skin redness, b value dominant response skin yellowing.
By certain ethnic group, such as the data acquisition of yellow race's standard form.Cheek skin pigmentation additionally, due to all ages and classes layer is different, needs to gather all ages and classes level.According to young less than 44 years old of Chinese Medical Association standard, middle age 45-59 year, old 60 years old three above level divides, and counts a meansigma methods of each eigenvalue of each age level respectively, as normal face standard.The most again to tested face, mainly cheek position carries out data acquisition with reference to CAE Lab colorimeter system standard colorimetric.Xanthous L-value is typically between 30-70；A value is between 10-15；B value is between 10 and 20.By the data of collection, colourity Lab value with the standard face of three age levels compares respectively, as higher or on the low side in tested face champac colourity b value compared with standard faces be belonging to partially yellow, red green degree a value is the most higher be belonging to the reddest, L-value is higher belongs to partially white, the different situations such as it is the most black that L-value is on the low side.
The partially yellow explanation malnutrition of face or liver problems；The reddest explanation deficiency of YIN blood is prosperous or skin is more sensitive；Face bright QI and blood of partially wasting one's breath is more empty, and cheek blackout or ash then illustrate that hepatic and renal function is not normal.
Detection based on face, the detection to color of the lip is also the same principle.Color of the lip can be divided into: normal, the most in vain, the reddest etc..General anemia as partially white in color of the lip；The reddest generally fire of moxibustion of color of the lip is the most prosperous；Color of the lip blackout then reflects deficiency of spleen and stomach.
Judgement to human body face small pox particular location, foundation detects when starting to determine whether face with eye, nose, the Delta Region that lip surrounds, determines small pox particular location according to this triangle-frame.Small pox typically highlights facial surface and the most rubescent.Respectively to forehead, left cheek, right cheek, these four regions of lip week chin are detected.Respectively to a value in these four area sampling detection LAB values, for the same area, if a value of certain several neighbouring sample point exceeds more than 5 unit values of other sampled point, then it is judged as small pox.Small pox occurs in forehead position explanation heart-fire and crosses prosperous or heart disease；Small pox occurs in left cheek explanation irritability stasis, and pressure is excessive；Small pox occurs in the explanation pulmonary function imbalance of right cheek；Chin or lip then illustrate vivotoxin accumulation too much.
3rd group:
Tongue is detected by step S2241, employing recognition methods based on template, first gathers the CIE Lab value of healthy yellow race tongue picture as standard；
Step S2242, then collection tested person's tongue image, obtain the LAB value of tested person's tongue image；
Step S2243, the LAB value of tested person's tongue image and standard tongue trichromatic Lab value are carried out respectively contrast carry out judging to classify；
Step S2244, identify and judge that tested person's tongue color is the most yellow, in vain, grey, black, or normally this several is deeply in love condition.
Judgement for tongue, use recognition methods based on template, the same with face identification, first gather the CIE Lab value of healthy yellow race tongue picture as standard, then gather and carried out contrast respectively by the LAB value of altimetric image and standard tongue trichromatic Lab value and carry out judgement and classify.Detect its color the most yellow, in vain, ash, black, or normally this several is deeply in love condition.Generally, partially yellow genus heat symptom-complex；Belong to sympotoms caused by cold factors the most in vain；Ash partially is then internal retention of cold wetness；The most black then explanation intenseness of heat body fluid deficiency.
Complete whole step S200, and after step S300 terminates, entering step S400 and according to physical condition information corresponding to the described face fine-characterization of display, search corresponding health guidance information and point out.
Below by way of a concrete Application Example, method of the present invention is further described:
Refer to Fig. 2, Fig. 2 to be the present invention by face take pictures the flow chart of the concrete Application Example of mobile terminal implementation method identifying physical condition.
As in figure 2 it is shown, this concrete Application Example said method comprising the steps of:
S10, beginning, click on and initially enter S11；
S11, take pictures, gather photograph, it is also possible to be the most stored photograph, after gathering photograph or recalling photograph, enter S12；
Whether S12, face, i.e. judge whether the photograph in S11 is face photograph, have human body face feature, enters S13 when "No", enters S14, S15, S16 when "Yes", and wherein S14, S15, S16 can be the independent step simultaneously carried out；
S13, please input face, prompting user provides the photograph with human body panels feature again；
S14, eye recognition；
Wherein, S14 respectively enters S141, S142 after completing,
S141, secretions, it is judged that whether eye has secretions, enter S17 when "No", enters S1410 when "Yes"；
S1410, Liver Channel heat, i.e. according to the comparison situation of secretions Yu normal eyes secretions, provides corresponding health and fitness information, and such as similar information such as Liver Channel heat, those information have been stored in data base the most；
S142, red blood streak, it is judged that whether eye has red blood streak, enter S17 when "No", enters S1420 when "Yes"；
S1420, fatigue/infection, according to the comparison situation of red blood streak Yu normal eye red blood streak, provide corresponding health and fitness information, such as fatigue, infection etc.；
S15, facial recognition；
Wherein, S15 respectively enters S151, S152, S153 after completing,
S151, small pox, it is judged that whether face has small pox, enter S17 when "No", enters S1510 when "Yes"；
S1510, small pox position, such as: forehead, cheek (left cheek, right cheek), nose week and lip week, and correspondence provides health and fitness information, respectively enters S1511, S1512, S1513, S1514；
S1511, forehead, enter S15110；
S15110, heart-fire blood circulation: go to bed early and get up early；
S1512, cheek, enter S15121, S15122；
S15121, right cheek, pulmonary function is not normal；
S15122, left cheek: hepatic dysfunction；
In S1513, nose week, enter S15130；
S15130, Monitoring Ovarian Function or reproductive system are not normal；
In S1514, lip week, enter S15140；
The accumulation of S15140, vivotoxin is too much；
S152, face are normal, it is judged that face is the most normal, enter S17 when "Yes", enter S1520 when "No"；
S1520, face, it is judged that face color regime, enter S1521；
S1521, partially Huang, enter S1522；
S1522, malnutrition liver function are bad；
S153, color of the lip are normal, it is judged that color of the lip is the most normal, enter S17 when "Yes", enter S1530 when "No"；
S1530, color of the lip, it is judged that face color regime, enter S1531；
S1531, partially white, enter S1532；
S1532, anemia；
S16, tongue identification；
Wherein, S161 is entered after S16 completes；
S161, color are normal, it is judged that tongue color is the most normal, enter S17 when "Yes", respectively enter S1611, S1612, S1613 when "No"；
S1611, turn white, enter S16110；
S16110, wet it is trapped in spleen；
S1612, jaundice, enter S16120；
S16120, expectorant warm-served food are amassed or yang deficiency；
S1613, burnt hair, enter S16130；
S16130, calentura or hyperactivity of fire caused by deficiency of YIN；
S17, health, terminate this detection.
Based on said method embodiment, the present invention is also provided for a kind of being taken pictures by face and identifies the mobile terminal of physical condition, refer to Fig. 3, Fig. 3 to be the present invention by face take pictures the functional module theory diagram of the mobile terminal preferred embodiment identifying physical condition.
As it is shown on figure 3, described mobile terminal includes with lower module:
Build library module 510, be used for pre-building face each several part state and physical condition data base one to one and store；Specifically as described in above-mentioned steps S100.
Identification module 520, is used for obtaining face information, and is identified the face information obtained, identify the fine-characterization of face each several part；Specifically as described in above-mentioned steps S200.
Display processing module 530, for the fine-characterization according to the face each several part identified, searches the physical condition information of the fine-characterization of corresponding face in described data base, and shows the physical condition information corresponding with described face fine-characterization；And according to the physical condition information corresponding to described face fine-characterization of display, search corresponding health guidance information and point out；Specifically as described in above-mentioned steps S300, step S400.
And implement, as detailed above according to method described above.
In sum, provided by the present invention being taken pictures by face identifies mobile terminal and its implementation of physical condition, and it makes mobile terminal such as mobile phone etc. add New function: is taken pictures by face and identifies the function of physical condition.Utilize the photograph taken at any time, by image recognition processing technology, judge the health anomalies at some position of current body according to the feature of face different parts or Novel presentation, and corresponding tonic scheme or Health & Fitness Tip are provided.Even facial pores, blood streak situation judges skin humidity etc., provides skin care suggestion, significantly provides users with the convenient.
It should be appreciated that the application of the present invention is not limited to above-mentioned citing, for those of ordinary skills, can be improved according to the above description or convert, all these modifications and variations all should belong to the protection domain of claims of the present invention.
Claims (6)
1. one kind identifies the mobile terminal of physical condition by facial taking pictures, it is characterised in that include with lower module:
Build library module, be used for pre-building face each several part state and physical condition data base one to one and store；
Identification module, is used for obtaining face information, and is identified the face information obtained, identify the fine-characterization of face each several part；
Display processing module, for the fine-characterization according to the face each several part identified, searches the physical condition information of the fine-characterization of corresponding face in described data base, and shows the physical condition information corresponding with described face fine-characterization；And according to the physical condition information corresponding to described face fine-characterization of display, search corresponding health guidance information and point out；
And use following methods to realize:
A, pre-build face each several part state and physical condition data base one to one and store；
B, acquisition face information, and the face information obtained is identified, identify the fine-characterization of face each several part；
The fine-characterization of the face each several part that C, basis identify, searches the physical condition information of the fine-characterization of corresponding face in described data base, and shows the physical condition information corresponding with described face fine-characterization;
Described step B specifically includes:
B1, by taking pictures or stored photograph, obtain the human face photo information of current test person, described human face photo information includes mug shot and/or tongue photo；
B2, acquired human face photo information is carried out respectively eye detection, the detection of face face and tongue detection, identify the eye fine-characterization of face, face fine-characterization and tongue fine-characterization respectively;
Described step B2 specifically includes:
Eye is detected by B21, employing template method of identification, first stores the eye Prototype drawing under Different Red blood streak state and under different eye portion secretion states in data base respectively；
B22, extract the Partial Feature vector value of eyes to be measured and be combined into characteristic vector, and again the characteristic vector of combination is encoded, the characteristic vector after coding is mated with the characteristic vector in Prototype drawing；
B23, according to low, in, the threshold value that highly characteristic vector of eyes red blood streak or secretions eye template figure is arranged is distinguished in the range of which eyes to be measured belong to, and identifies with this and judges whether eyes has different grades of red blood streak and eye portion secretion;
Described step B2 the most also includes:
B31, detecting face face, by the data of collection, colourity Lab value with the standard face of all ages compares respectively；
B32, when tested face champac colourity b value compared with corresponding standard faces higher or on the low side, be belonging to face the most yellow, red green degree a value is the most higher, belongs to face the reddest, and L-value is higher, belongs to face partially white, and L-value is on the low side, belongs to face the most black;
Described eye module map includes: low red blood streak or eye portion secretion eye template figure, moderate red blood streak or secretions eye template figure, also has height red blood streak or secretions eye template figure；
By the data acquisition different pieces of information of certain ethnic group standard form；
Owing to the cheek skin pigmentation of all ages and classes layer is different, gather the data of all ages and classes level；According to young less than 44 years old, middle age 45-59 year, old 60 years old three above level divides, and counts a meansigma methods of each eigenvalue of each age level respectively, as normal face standard；The most again to tested face, mainly cheek position carries out data acquisition with reference to CAE Lab colorimeter system standard colorimetric；By the data of collection, colourity Lab value with the standard face of three age levels compares respectively.
The most according to claim 1 being taken pictures by face identifies the mobile terminal of physical condition, it is characterised in that described step A also includes:
And in data base, set up the health guidance information corresponding with the physical condition of face each several part state response.
The most according to claim 2 being taken pictures by face identifies the mobile terminal of physical condition, it is characterised in that also include after described step C:
D physical condition information corresponding to described face fine-characterization according to display, search corresponding health guidance information and point out.
The most according to claim 2 being taken pictures by face identifies the mobile terminal of physical condition, it is characterised in that described step A specifically includes:
A1, face each several part is divided into eye feature, facial characteristics and tongue feature；
A2, set up face eye feature and physical condition the first health status table one to one and store in the database；Set up face features to store in the database with physical condition the second health status table one to one, and set up people's tongue feature with physical condition the 3rd health status table storage one to one in the database.
The most according to claim 1 being taken pictures by face identifies the mobile terminal of physical condition, it is characterised in that the face information to acquisition in described step B is identified including:
Eye recognition, facial recognition and tongue identification.
The most according to claim 2 being taken pictures by face identifies the mobile terminal of physical condition, it is characterised in that described step B2 the most also includes:
Tongue is detected by B41, employing recognition methods based on template, first gathers the CIE Lab value of healthy yellow race tongue picture as standard；
B42, then collection tested person's tongue image, obtain the LAB value of tested person's tongue image；
B43, the LAB value of tested person's tongue image and standard tongue trichromatic Lab value are carried out respectively contrast carry out judging to classify；
B44, identify and judge that tested person's tongue color is the most yellow, in vain, grey, black, or normally this several is deeply in love condition.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11809479B2 (en) | 2019-04-09 | 2023-11-07 | Huawei Technologies Co., Ltd. | Content push method and apparatus, and device |
Families Citing this family (32)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106662992A (en) | 2014-05-16 | 2017-05-10 | 科赛普特治疗学股份有限公司 | Systems and methods of managing treatment of a chronic condition by symptom tracking |
| CN104299011A (en) * | 2014-10-13 | 2015-01-21 | 吴亮 | Skin type and skin problem identification and detection method based on facial image identification |
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| WO2016067892A1 (en) * | 2014-10-28 | 2016-05-06 | コニカミノルタ株式会社 | Degree-of-health outputting device, degree-of-health outputting system, and program |
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| CN104966267B (en) * | 2015-07-02 | 2018-01-19 | 广东欧珀移动通信有限公司 | A kind of method and device of U.S. face user images |
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| CN107562868A (en) * | 2017-08-30 | 2018-01-09 | 努比亚技术有限公司 | A kind of information recommendation method, terminal and computer-readable recording medium |
| US11423534B2 (en) | 2017-12-12 | 2022-08-23 | Turkcell Teknoloji Arastirma Ve Gelistirme Anonim Ssirketi | System and method for diagnosing potential diseases from photo and video data and informing the user |
| US11191341B2 (en) * | 2018-01-11 | 2021-12-07 | Casio Computer Co., Ltd. | Notification device, notification method, and storage medium having program stored therein |
| CN109119163A (en) * | 2018-07-16 | 2019-01-01 | 安徽昱康智能科技有限公司 | Health detecting method and its system based on face recognition |
| US11847798B2 (en) * | 2018-07-16 | 2023-12-19 | Honor Device Co., Ltd. | Pigment detection method and electronic device |
| CN109363634A (en) * | 2018-10-08 | 2019-02-22 | 蔡义文 | Assessment method, device, mobile phone, computer equipment and the storage medium of skin |
| CN109390056A (en) * | 2018-11-05 | 2019-02-26 | 平安科技（深圳）有限公司 | Health forecast method, apparatus, terminal device and computer readable storage medium |
| CN110706187B (en) * | 2019-05-31 | 2022-04-22 | 成都品果科技有限公司 | Image adjusting method for uniform skin color |
| CN110349672A (en) * | 2019-06-18 | 2019-10-18 | 深圳壹账通智能科技有限公司 | A kind of intelligent control method, device, computer equipment and storage medium |
| CN111259778B (en) * | 2020-01-13 | 2022-06-17 | 天津众阳科技有限公司 | Method for positioning human face reflecting area |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2039017U (en) * | 1988-09-21 | 1989-06-07 | 沈阳仪器仪表工艺研究所 | Tongue colour determination device |
| JP2005065812A (en) * | 2003-08-21 | 2005-03-17 | Nec Fielding Ltd | Medical checkup system, method and program |
| CN101138487A (en) * | 2007-09-13 | 2008-03-12 | 何裕民 | Conventional traditional Chinese medicine face colour inspection system |
| CN201504263U (en) * | 2009-09-14 | 2010-06-09 | 幻音科技(深圳)有限公司 | Health detection mobile phone |
| JP2012010955A (en) * | 2010-06-30 | 2012-01-19 | Terumo Corp | Health condition monitoring device |
| CN202821629U (en) * | 2012-08-23 | 2013-03-27 | 曹二林 | Digital mirror with function of human face health information instruction |
| CN103169451A (en) * | 2013-03-26 | 2013-06-26 | 深圳市九洲电器有限公司 | Disease diagnosis method, disease diagnosis device and set top box |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070183633A1 (en) * | 2004-03-24 | 2007-08-09 | Andre Hoffmann | Identification, verification, and recognition method and system |
-
2013
- 2013-12-30 CN CN201310743125.9A patent/CN103690149B/en not_active Expired - Fee Related
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2039017U (en) * | 1988-09-21 | 1989-06-07 | 沈阳仪器仪表工艺研究所 | Tongue colour determination device |
| JP2005065812A (en) * | 2003-08-21 | 2005-03-17 | Nec Fielding Ltd | Medical checkup system, method and program |
| CN101138487A (en) * | 2007-09-13 | 2008-03-12 | 何裕民 | Conventional traditional Chinese medicine face colour inspection system |
| CN201504263U (en) * | 2009-09-14 | 2010-06-09 | 幻音科技(深圳)有限公司 | Health detection mobile phone |
| JP2012010955A (en) * | 2010-06-30 | 2012-01-19 | Terumo Corp | Health condition monitoring device |
| CN202821629U (en) * | 2012-08-23 | 2013-03-27 | 曹二林 | Digital mirror with function of human face health information instruction |
| CN103169451A (en) * | 2013-03-26 | 2013-06-26 | 深圳市九洲电器有限公司 | Disease diagnosis method, disease diagnosis device and set top box |
Non-Patent Citations (1)
| Title |
|---|
| 基于Lab彩色模式的舌苔定量描述和分类;丁明 等;《仪器仪表学报》;20020630;第23卷(第2期);第328-329页 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11809479B2 (en) | 2019-04-09 | 2023-11-07 | Huawei Technologies Co., Ltd. | Content push method and apparatus, and device |
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