CN106407715A - Health identification system and method for intelligent service robot - Google Patents
Health identification system and method for intelligent service robot Download PDFInfo
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- CN106407715A CN106407715A CN201610908439.3A CN201610908439A CN106407715A CN 106407715 A CN106407715 A CN 106407715A CN 201610908439 A CN201610908439 A CN 201610908439A CN 106407715 A CN106407715 A CN 106407715A
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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
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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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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Abstract
The invention discloses a health identification system and a health identification method for an intelligent service robot, relates to the technical field of service robots, and solves the technical deficiency of an existing human physique identification method that is lack of the technology based on the service robot and adopts a natural language processing mode for diagnosis through interrogation. The system comprises a user identity identification module, a tongue diagnosis module, an interrogation diagnosis module, an interrogation diagnosis scale module and a physique classification model, wherein the tongue diagnosis module is used for taking a facial photo for a user by a camera after a tongue stretches out, processing the facial photo by using an image processing method to show a tongue part, extracting RGB color information of the tongue part, thus acquiring a tongue image color value; the service robot combines the interrogation diagnosis module with the tongue diagnosis module, the robot visually analyzes the tongue image, a result is statistically analyzed based on a voice response or touch selection of a subject for providing a physique result through identification, and thus health of illiterate users can be identified in a voice interactive manner; two modes, voice and touch modes, are provided for health identification of the illiterate users; and user experience is improved.
Description
Technical field
The present invention relates to service robot technical field is and in particular to pass through inquiring and inspection of the tongue to using service robot
Mode, the method for identification measured's body constitution.
Background technology
Chinese medicinal interrogation is one of basic skills that the traditional Chinese medical science examines disease.Inquiring is that doctor passes through patient or the person of accompanying the patient to see a doctor is had
The inquiry of purpose, the method to understand the state of an illness, particularly understand patient's body subjective feeling at that time.By inquiring it will be seen that
The a lot of situation of relevant patient body situation, the such as subjective symptomss of patient, onset process, treatment process, daily life, usually body constitution
And medical history, family's medical history etc..How the method for Traditional Chinese Medicine inquiring to be passed through using roboticses, artificial intelligence technology
Realizing and extensively applying is an important problem.
Have in China Association of Traditional Chinese Medicine's standard《Traditional Chinese Medicine Constitution Classification, decision method and criterion》, tcm constitution is divided
Become 9 classes, be yang deficiency matter, deficiency of YIN matter, deficiency of vital energy matter, phlegm-damp matter, damp and hot matter, blood stasis matter, special official report matter, stagnation of QI matter, gentle matter respectively.
Wherein gentle matter is health-physical fitness, and remaining 8 kinds is subhealth state body constitution.Although there being the traditional Chinese medical science in terms of the paper delivered in the recent period and patent
Body constitution decision method and criterion, but also it is not based on service robot technology, using natural language processing mode, to asking
Examine and carry out human body constitution discrimination method.
Content of the invention
In sum, it is an object of the invention to solving existing shortage to be based on service robot technology, using natural language
Processing mode, carries out the technical deficiency of human body constitution discrimination method, and proposes a kind of intellect service robot health and distinguish to inquiring
Know system and method.
For solving technical problem proposed by the invention, the technical scheme of employing is:
A kind of intellect service robot health identification system is it is characterised in that described system includes:User identity identification module,
Inspection of the tongue module, inquiring module, inquiring gauge module and physique typing module;
User identity recognizes module, receive user essential information typing;
Inspection of the tongue module, is shot the facial photo after user's tongue stretches out by photographic head, using image processing method, face is shone
Piece is processed, and is partitioned into tongue part, extracts the RGB color information of tongue part, obtains tongue color value;
Inquiring module, in conjunction with user basic information and obtain tongue color value, autonomous separates the users into child, adult male,
Adult female 3 class crowd, for 3 class different crowds, automatically one by one inquiry user with tongue fur and body of the tongue relevant issues, Yong Huxuan
Select voice answering or touch-control selects to answer, and result answered in record automatically;
Inquiring gauge module, includes Traditional Chinese Medicine Constitution Classification table, include in Traditional Chinese Medicine Constitution Classification table respectively with body constitution:Yang deficiency
Matter, deficiency of YIN matter, deficiency of vital energy matter, phlegm-damp matter, damp and hot matter, blood stasis matter, special official report matter, stagnation of QI matter peace and the fractional value answered of verifying;
Physique typing module, for fractional statisticses are carried out according to the answer result that inquiring module provides, and and Traditional Chinese Medicine Constitution Classification
In table, each body constitution fractional value is compared, and picks out the body constitution of user.
Described user identity identification module receive user essential information includes:Name, sex, the age, dietary habit,
Sleep habit, allergies, Inheritance medical history, blood group, height and body weight.
Described inquiring module passes through voice broadcast, and user can select voice answering or touch-control to select to answer.
Using described intellect service robot health identification system and method it is characterised in that methods described is using as follows
Step:
1), user by user identity recognize module interact, collection user fill in name, sex, the age, diet practise
Used, sleep habit, allergies, Inheritance medical history, blood group, height, body weight essential information;
2), the sex filled according to user of inquiring module and age, autonomous is distinguished as user:Child, adult male or one-tenth
Year women population;
3), user the facial photo after user's tongue stretches out is shot by the photographic head of inspection of the tongue module, tongue is extracted by inspection of the tongue module
The color value of picture, inquiring module is asked according to 4 related with body of the tongue of tongue fur with user in tongue color value programming count inquiring
The answer value of topic;
4), inspection of the tongue module according to user 3 class crowd, every class crowd corresponds to corresponding inquiring problem, inspection of the tongue module first language one by one
Sound playback problem, then user can be answered a question by voice answering problem or touch control manner;
5), inquiring module carries out fractional statisticses to all inquiring problem answers, and counted according to 9 class body constitution by physique typing module
Fraction is compared with Traditional Chinese Medicine Constitution Classification table;
6), physique typing module according to physique typing rule, pick out the body constitution of user.
Gentle matter in described Traditional Chinese Medicine Constitution Classification table is health-physical fitness, and remaining 8 kinds is biased body constitution;Biased body constitution is every
Topic answers no or not 1 point of meter, answer once in a while/sometimes count 3 points, answer always/be 5 points of meter;Gentle matter is often inscribed and is answered no or do not have
Have meter 5 points, answer once in a while/sometimes count 3 points, answer always/be meter 1 point;Every kind of body constitution total score is 100 points;Every kind of body constitution, often inscribes
Weighing computation method:20/ problem number;
Constitution Identification rule is:Gentle matter is more than 60 points, and biased body constitution is respectively less than 40 points, then for gentle matter;When biased body constitution
In have more than 40 points when, take biased body constitution that body constitution of mid score highest.
The problem of described inquiring module includes 4 tongue furs with inquiry user and body of the tongue, and 29 is for male, female
Property and the different question sentences of child;Inquiring module passes through sex and the age information of user, male is asked with 26 inquiring information, to female
Property ask 27 inquiring information, ask 24 inquiring information for child, these inquiring information pass through voice broadcast, user can select
Voice answering or touch-control select to answer.
Beneficial effects of the present invention are:The present invention adopts service robot to combine inquiring and inspection of the tongue model, robot vision
Analysis tongue picture, and voice broadcast carries out inquiring with word questionnaire to measured, is selected based on measured's voice answering or touch-control
Carry out result statistics, recognize body constitution result, be that illiterate user provides interactive voice mode and carries out health identification;Use for character learning
Family provides voice and touch-control both modalities which carries out health identification;Improve Consumer's Experience.Classified by user, in conjunction with inspection of the tongue and
Inquiring, autonomous inquiring time shortening user, improves the intelligent of Constitution Identification.
Compared with traditional method, the present invention carries out inquiring result visualization analysis using multi-module interactive mode, and user can
More easily to be diagnosed and to recognize, enhance the readability of diagnostic result and ease for use and precision, and the asking of inquiring
Topic is more intelligent, is no longer all thousand times same answers of tester same pair questionnaire.It is not only illiterate tester and provide language
The inquiring mode of sound interaction, and the inquiring mode of touch-control interaction is provided for response speed agility person.
Brief description
Fig. 1 is the service robot intelligence inquiring of the present invention and the Constitution Identification system engineering flow chart of inspection of the tongue model;
Fig. 2 recognizes function structure chart for user identity of the present invention;
Fig. 3 is the workflow structure figure of inspection of the tongue module of the present invention.
Specific embodiment
Below in conjunction with accompanying drawing and specific embodiment of the present invention, the present invention is further described.
Shown in Fig. 3, intellect service robot of the present invention health identification system is it is characterised in that described system
System includes:User identity identification module, inspection of the tongue module, inquiring module, inquiring gauge module and physique typing module;
User identity recognizes module, receive user essential information typing;User basic information such as name, sex, age, diet are practised
Used, sleep habit, allergies, Inheritance medical history, blood group, height, body weight etc..Distinguishing user by sex is male or female
Property.By age information subregion child, adult.
Inspection of the tongue module, is shot the facial photo after user's tongue stretches out by photographic head, using image processing method, face is shone
Piece is processed, and is partitioned into tongue part, extracts the RGB color information of tongue part, obtains tongue color value;
Inquiring module, in conjunction with user basic information and obtain tongue color value, autonomous separates the users into child, adult male,
Adult female 3 class crowd, for 3 class different crowds, automatically one by one inquiry user with tongue fur and body of the tongue relevant issues, Yong Huxuan
Select voice answering or touch-control selects to answer, and result answered in record automatically.Specifically, inquiring module includes tcm constitution and divides
33 words in class, decision method and criterion, summary is got off, and 4 related to inspection of the tongue, mainly the tongue fur of inquiry user and
Body of the tongue.29 is different question sentences for male, women and child.Inquiring module passes through sex and the age information of user, right
Male asks 26 inquiring information, women is asked with 27 inquiring information, asks 24 inquiring information for child.These inquiring information are led to
Cross voice broadcast, user can select voice answering or touch-control to select to answer.Inquiring gauge module includes determining that every kind of body constitution is asked
The weight of topic, counts the fraction of every kind of body constitution problem.Tcm constitution is divided into 9 classes, is yang deficiency matter, deficiency of YIN matter, deficiency of vital energy matter, expectorant respectively
Wet matter, damp and hot matter, blood stasis matter, special official report matter, stagnation of QI matter, gentle matter.Gentle matter is health-physical fitness, and remaining 8 kinds is biased body constitution.Partially
Quite body constitution often inscribes that answer is no or not 1 point of meter, answer once in a while/sometimes count 3 points, answer always/be 5 points of meter;Gentle matter is often inscribed back
Answer no or not 5 points of meter, answer once in a while/sometimes count 3 points, answer always/be 1 point of meter;Every kind of body constitution total score is 100 points;Every kind of
Body constitution, the weighing computation method often inscribed:20/ problem number.
Inquiring gauge module, includes Traditional Chinese Medicine Constitution Classification table, include in Traditional Chinese Medicine Constitution Classification table respectively with body constitution:Sun
Empty matter, deficiency of YIN matter, deficiency of vital energy matter, phlegm-damp matter, damp and hot matter, blood stasis matter, special official report matter, stagnation of QI matter peace and the fractional value answered of verifying;
Physique typing module, for fractional statisticses are carried out according to the answer result that inquiring module provides, and and Traditional Chinese Medicine Constitution Classification
In table, each body constitution fractional value is compared, and picks out the body constitution of user.The total score of every kind of body constitution is compared.Tcm constitution
It is divided into 9 classes, be yang deficiency matter, deficiency of YIN matter, deficiency of vital energy matter, phlegm-damp matter, damp and hot matter, blood stasis matter, special official report matter, stagnation of QI matter, gentle matter respectively.
Gentle matter is health-physical fitness, and remaining 8 kinds is biased body constitution.Constitution Identification rule is that gentle matter is more than 60 points, and biased body constitution is equal
Less than 40 points, then for gentle matter.When having more than 40 points in biased body constitution, take biased body constitution that body of mid score highest
Matter.
Using above-mentioned intellect service robot health identification system and method, using following steps:
1), user by user identity recognize module interact, collection user fill in name, sex, the age, diet practise
Used, sleep habit, allergies, Inheritance medical history, blood group, height, body weight essential information.
2), the sex filled according to user of inquiring module and age, autonomous is distinguished as user:Child, adult male
Or adult female population.
3), user the facial photo after user's tongue stretches out is shot by the photographic head of inspection of the tongue module, carried by inspection of the tongue module
Take the color value of tongue picture, inquiring module according in tongue color value programming count inquiring with user tongue fur related with body of the tongue 4
The answer value of individual problem;Gentle matter in described Traditional Chinese Medicine Constitution Classification table is health-physical fitness, and remaining 8 kinds is biased body constitution;Partially
Quite body constitution often inscribes that answer is no or not 1 point of meter, answer once in a while/sometimes count 3 points, answer always/be 5 points of meter;Gentle matter is often inscribed back
Answer no or not 5 points of meter, answer once in a while/sometimes count 3 points, answer always/be 1 point of meter;Every kind of body constitution total score is 100 points;Every kind of
Body constitution, the weighing computation method often inscribed:20/ problem number;
Constitution Identification rule is:Gentle matter is more than 60 points, and biased body constitution is respectively less than 40 points, then for gentle matter;When biased body constitution
In have more than 40 points when, take biased body constitution that body constitution of mid score highest.
4), inspection of the tongue module according to user 3 class crowd, every class crowd corresponds to corresponding inquiring problem, and inspection of the tongue module is first one by one
Speech play problem, then user can be answered a question by voice answering problem or touch control manner;The asking of inquiring module
Topic includes 4 tongue furs with inquiry user and body of the tongue, and 29 is different question sentences for male, women and child;Inquiring mould
Block passes through sex and the age information of user, male is asked with 26 inquiring information, women is asked with 27 inquiring information, for child
Ask 24 inquiring information, these inquiring information pass through voice broadcast, user can select voice answering or touch-control to select to answer.
5), inquiring module fractional statisticses are carried out to all inquiring problem answers, and by physique typing module according to 9 class body constitution
Statistics fraction is compared with Traditional Chinese Medicine Constitution Classification table;
6), physique typing module according to physique typing rule, pick out the body constitution of user.
The present invention is based on the problem in tcm constitution inquiring questionnaire, first age, sex etc. from the essential information of tester
Information, is divided into child, adult male, adult female three class crowd tester.Related to picture of the tongue question sentence in problem is adopted
Visual analysises method is processed, and is not required to tester and carries out inquiring test.Remaining issues is divided into child, adult male, grows up
Women etc. three class carries out voice broadcast and word questionnaire and show, measured's voice answering or touch-control selection questionnaire answer, according in
Doctor's body constitution criterion is counted and Constitution Identification.
Claims (6)
1. a kind of intellect service robot health identification system is it is characterised in that described system includes:User identity recognizes mould
Block, inspection of the tongue module, inquiring module, inquiring gauge module and physique typing module;
User identity recognizes module, receive user essential information typing;
Inspection of the tongue module, is shot the facial photo after user's tongue stretches out by photographic head, using image processing method, face is shone
Piece is processed, and is partitioned into tongue part, extracts the RGB color information of tongue part, obtains tongue color value;
Inquiring module, in conjunction with user basic information and obtain tongue color value, autonomous separates the users into child, adult male,
Adult female 3 class crowd, for 3 class different crowds, automatically one by one inquiry user with tongue fur and body of the tongue relevant issues, Yong Huxuan
Select voice answering or touch-control selects to answer, and result answered in record automatically;
Inquiring gauge module, includes Traditional Chinese Medicine Constitution Classification table, include in Traditional Chinese Medicine Constitution Classification table respectively with body constitution:Yang deficiency
Matter, deficiency of YIN matter, deficiency of vital energy matter, phlegm-damp matter, damp and hot matter, blood stasis matter, special official report matter, stagnation of QI matter peace and the fractional value answered of verifying;
Physique typing module, for fractional statisticses are carried out according to the answer result that inquiring module provides, and and Traditional Chinese Medicine Constitution Classification
In table, each body constitution fractional value is compared, and picks out the body constitution of user.
2. a kind of intellect service robot health identification system according to claim 1 it is characterised in that:Described user
Identity identification module receive user essential information includes:Name, sex, age, dietary habit, sleep habit, allergies, family
Race's heredity medication history, blood group, height and body weight.
3. a kind of intellect service robot health identification system according to claim 1 it is characterised in that:Described inquiring
Module passes through voice broadcast, and user can select voice answering or touch-control to select to answer.
4. adopt any one of claims 1 to 3 described in intellect service robot health identification system and method it is characterised in that
Methods described adopts following steps:
1), user by user identity recognize module interact, collection user fill in name, sex, the age, diet practise
Used, sleep habit, allergies, Inheritance medical history, blood group, height, body weight essential information;
2), the sex filled according to user of inquiring module and age, autonomous is distinguished as user:Child, adult male or one-tenth
Year women population;
3), user the facial photo after user's tongue stretches out is shot by the photographic head of inspection of the tongue module, tongue is extracted by inspection of the tongue module
The color value of picture, inquiring module is asked according to 4 related with body of the tongue of tongue fur with user in tongue color value programming count inquiring
The answer value of topic;
4), inspection of the tongue module according to user 3 class crowd, every class crowd corresponds to corresponding inquiring problem, inspection of the tongue module first language one by one
Sound playback problem, then user can be answered a question by voice answering problem or touch control manner;
5), inquiring module carries out fractional statisticses to all inquiring problem answers, and counted according to 9 class body constitution by physique typing module
Fraction is compared with Traditional Chinese Medicine Constitution Classification table;
6), physique typing module according to physique typing rule, pick out the body constitution of user.
5. a kind of intellect service robot health identification system according to claim 1 and method it is characterised in that:Described
Traditional Chinese Medicine Constitution Classification table in gentle matter be health-physical fitness, remaining 8 kinds be biased body constitution;Biased body constitution is often inscribed and is answered no or do not have
Have meter 1 point, answer once in a while/sometimes count 3 points, answer always/be meter 5 points;Gentle matter is often inscribed and is answered no or do not count 5 points, answers
Once in a while/sometimes count 3 points, answer always/be meter 1 point;Every kind of body constitution total score is 100 points;Every kind of body constitution, the weight calculation side often inscribed
Method:20/ problem number;
Constitution Identification rule is:Gentle matter is more than 60 points, and biased body constitution is respectively less than 40 points, then for gentle matter;When biased body constitution
In have more than 40 points when, take biased body constitution that body constitution of mid score highest.
6. a kind of intellect service robot health identification system according to claim 1 and method it is characterised in that:Described
The problem of inquiring module include 4 tongue furs with inquiry user and body of the tongue, 29 is for male, women and child not
Same question sentence;Inquiring module passes through sex and the age information of user, male is asked with 26 inquiring information, women is asked with 27 inquirings
Information, asks 24 inquiring information for child, and these inquiring information pass through voice broadcast, and user can select voice answering or touch
Control selects to answer.
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