阅读说明：本技术 基于多元信息融合的健康生活方式指导系统及方法 (Healthy Lifestyle based on multivariate information fusion instructs system and method ) 是由 吴瑛 陈玉玲 吴芳琴 邓颖 岳鹏 刘溢思 张艳 于 2019-08-28 设计创作，主要内容包括：本发明涉及基于多元信息融合的健康生活方式指导系统及方法,指导系统至少包括云端处理器、至少一个终端以及云端存储介质,由终端向云端处理器提供相应用户的用于健康评估和/或治疗评估的预期结果,使得云端处理器能够基于该用户的融合后的多元用户数据来选取相应的多类历史指导样本库且能够基于融合后的多元用户数据来生成第一结果和第二结果,云端处理器响应于用户对第一结果或第二结果的选择,筛选出多类历史指导样本库之一的第一初次类历史指导样本库,并且根据该用户的融合后的多元用户数据且参考第一结果或第二结果的选择,向终端提供所筛选出的第一初次类历史指导样本库中的若干可选的初始指导方案。(The present invention relates to the healthy Lifestyles based on multivariate information fusion to instruct system and method, system is instructed to include at least cloud processor, at least one terminal and cloud storage medium, the expected results of relative users assessed for health evaluating and/or treatment are provided from terminal to cloud processor, cloud processor to choose corresponding multiclass history based on the fused polynary user data of the user to instruct sample database and the first result and the second result can be generated based on fused polynary user data, selection of the cloud processor in response to user to the first result or the second result, filtering out multiclass history instructs the first first class history of one of sample database to instruct sample database, and according to the fused polynary user data of the user and with reference to the selection of the first result or the second result, it provides the terminal with and is filtered out First first class history instructs several optional initial guidance programs in sample database.)

1. the healthy Lifestyle based on multivariate information fusion instructs system, cloud processor (1), at least one end are included at least (2) and cloud storage medium (3) are held,

The cloud processor (1) is configured to store user and medical staff by the user data that the terminal (2) uploads In the cloud storage medium (3), and it is based on including at least health evaluating expected results in the cloud storage medium (3) Sample database (4) is instructed to filter out the initial guidance side for pushing to the terminal (2) with the history for the treatment of assessment expected results Case (5),

It is characterized in that,

The expection of relative users assessed for health evaluating and/or treatment is provided by terminal (2) Xiang Suoshu cloud processor (1) As a result, it is corresponding more to choose the cloud processor (1) can based on the fused polynary user data of the user Class history is instructed sample database (4) and can be generated based on the fused polynary user data of the user for health evaluating First result (101) and for treat assessment the second result (102), wherein first result (101) is in the first way It is presented in the terminal (2), the second method that second result (102) is different from the first method is presented in described Terminal (2),

Selection of the cloud processor (1) in response to user to first result (101) or the second result (102), screening The multiclass history instructs the first first class history of one of sample database (4) to instruct sample database (41) out, and according to the user Fused polynary user data and selection with reference to first result (101) or the second result (102), Xiang Suoshu terminal (2) the described first first class history that offer is filtered out instructs several optional initial guidance programs in sample database (41) (5)。

2. according to claim 1 instruct system, which is characterized in that it is described instruct system configuration be it is right as follows The polynary user data is merged:

The cloud processor (1) at least can be associated with the cloud based on user's sign information (6) of the polynary user data The history for including at least health evaluating expected results and treating assessment expected results in end storage medium (3) instructs sample database (4) the first desired movement information (6a) and first expected diet information (6b) are generated respectively；

The cloud processor (1) is based on the motion information of the first desired movement information (6a) and the polynary user data (7) difference of the diet information (8) of difference degree and first expected diet information (6b) and the polynary user data Different scale evaluation simultaneously corrects user's sign information (6), motion information (7) and diet information (8).

3. instructing system according to one of preceding claims, which is characterized in that in the first desired movement information The difference degree of (6a) and the motion information (7) be more than the first movement differential value and first expected diet information (6b) and In the case that the difference degree of the diet information (8) is less than the first diet difference value,

The cloud processor (1) is based on the motion information (7) association history and sample database (4) is instructed to generate first respectively Prospective users sign information (7a) and second expected diet information (7b),

And the history is associated with based on the diet information (8), sample database (4) is instructed to generate the second prospective users sign letter respectively Cease (8a) and the second desired movement information (8b)；

The cloud processor (1) is based on the first prospective users sign information (7a) and the second prospective users sign is believed Cease the difference degree of (8a), the difference degree of the second desired movement information (8b) and the motion information (7) and described Second expected diet information (7b) and the difference degree of the diet information (8) assess user's sign information (6), movement is believed Cease (7) and diet information (8).

4. instructing system according to one of preceding claims, which is characterized in that in the first desired movement information The difference degree of (6a) and the motion information (7) be more than the first movement differential value and first expected diet information (6b) and In the case that the difference degree of the diet information (8) is more than the first diet difference value,

The cloud processor (1) is based on the first prospective users sign information (7a), the second prospective users sign information (8a) corrects user's sign information (6).

5. instructing system according to one of preceding claims, which is characterized in that described to instruct system configuration for according to such as Under type carries out health evaluating to user and/or treatment is assessed:

The cloud manager (1) be based on fused polynary user data be associated with the knowledge base (9) to user health risk, Locomitivity and diet are assessed, so that outcome expectancy set (10), kinematic parameter and diet parameter are generated respectively, In,

The outcome expectancy set is included at least according to risk class sequence the first result (101) and according to completion expected results The second result (102) of complexity sequence.

6. instructing system according to one of preceding claims, which is characterized in that select the terminal (2) to present in user One of described several optional initial guidance programs (5) carry out healthy living guidances and fed back to the cloud processor (1) In the case where health guidance effect, the cloud processor (1) is based on information that user is fed back by the terminal (2) to described Terminal (2) provide be stored in the cloud storage medium (3) be different from that such history instructs in sample database (4) it is several can Several optional first guidance programs of the initial guidance program (5) of choosing, wherein

Several optional first guidance sides in sample database (4) are instructed according to such history that the terminal (2) is presented in user Case (5) carries out healthy living guidance and is fed back by the terminal (2) Xiang Suoshu cloud processor (1) still without reaching expected effect In the case where fruit,

Cloud processor (1) response is different from the user for the first time to first result (101) or the second result (102) Selection, filter out and instruct the multiclass history of sample database (41) to instruct sample database different from the described first first class history One of (4), and according to the fused polynary user data of the user and with reference to described it is different from the user for the first time to the The selection of one result (101) or the second result (102), Xiang Suoshu terminal (2) provide such history filtered out and instruct sample Several optional second guidance programs in library (4).

7. instructing system according to one of preceding claims, which is characterized in that several initial guidance programs (5) are extremely It less include the first initial guidance program (51) and the second initial guidance program (52), wherein

Highest first outcome expectancy of the risk rating that the cloud processor (1) is based in first result (101) generates First first class history instructs sample database (41), and assesses the kinematic parameter of user, diet parameter, the surrounding enviroment of user And motion intention instructs sample database (41) to carry out screening the first initial guidance program of generation the described first first class history (51)；

It is minimum that the cloud processor (1) is based on the complexity grading for reaching expected results in second result (102) The second outcome expectancy generate the second first class history and instruct sample database (42), and assess the kinematic parameter, the diet of user Parameter, the surrounding enviroment of user and motion intention instruct sample database (42) to carry out screening generation the described second first class history First initial guidance program (52).

8. instructing system according to one of preceding claims, which is characterized in that be based on the initial finger in the user It leads scheme (5) to carry out in the movable situation of related guidance, when the cloud manager (1) is based on user's progress related guidance activity User data, the execution state of the initial guidance program (5) and the self-feedback of user correct the initial guidance side Case (5), wherein

The cloud processor (1) analyzes it according to several modified initial guidance programs (5) of the user and instructs trend simultaneously The terminal (2) that tendency information is pushed to the specific user is based on its modified initial guidance program (5) by the terminal (2) Variation tendency determines that at least three instruct path, wherein one is instructed path to include at least the guidance grade for motion information Not, wherein another is instructed path to include at least and instruct rank for diet information, wherein third instructs path to include at least That is formulated according to the variation tendency of similar users instructs rank for sign information, wherein

The similar users are at least in the first result (101) of health evaluating or the second result (102) for the treatment of assessment Same section is more than first threshold.

9. the healthy Lifestyle guidance method based on multivariate information fusion, the guidance method include at least: cloud processor (1) it is configured to for user and medical staff being stored in cloud storage medium (3) by the user data that terminal (2) uploads, and Referred to based on the history for including at least health evaluating expected results and treatment assessment expected results in the cloud storage medium (3) It leads sample database (4) and filters out initial guidance program (5) for pushing to the terminal (2),

It is characterized in that,

The expected knot of relative users assessed for health evaluating and/or treatment is provided from terminal (2) to cloud processor (1) Fruit, so that the cloud processor (1) can choose corresponding multiclass based on the fused polynary user data of the user History instruct sample database (4) and can be generated based on the fused polynary user data of the user for health evaluating One result (101) and for treat assessment the second result (102), wherein first result (101) is to be in the first way Now in the terminal (2), the second method that second result (102) is different from the first method is presented in the end It holds (2),

Selection of the cloud processor (1) in response to user to first result (101) or the second result (102), screening The multiclass history instructs the first first class history of one of sample database (4) to instruct sample database (41) out, and according to the user Fused polynary user data and selection with reference to first result (101) or the second result (102), Xiang Suoshu terminal (2) the described first first class history that offer is filtered out instructs several optional initial guidance programs in sample database (41) (5)。

10. guidance method according to claim 9, which is characterized in that described to instruct system configuration for as follows The polynary user data is merged:

The cloud processor (1) at least can be associated with the cloud based on user's sign information (6) of the polynary user data The history for including at least health evaluating expected results and treating assessment expected results in end storage medium (3) instructs sample database (4) the first desired movement information (6a) and first expected diet information (6b) are generated respectively；

The cloud processor (1) is based on the motion information of the first desired movement information (6a) and the polynary user data (7) difference of the diet information (8) of difference degree and first expected diet information (6b) and the polynary user data Different scale evaluation simultaneously corrects user's sign information (6), motion information (7) and diet information (8).

Technical field

The present invention relates to the systems that the health and fitness information according to user instructs the user how the life style of improvement user health And method more particularly to a kind of healthy Lifestyle based on multivariate information fusion instruct system and method.

Background technique

In recent years, disease relevant to life style is more and more.Disease relevant to life style, it is believed that it breaks out It is influenced with development by living habit, such as eating habit, exercise habit, rest, smokes and drink.It generally comprises such as cancer, sugar Urine disease, headstroke and coronary heart disease, and be not easy to treat after these seizures of disease relevant to life style.According to world health The disease of fabric study's report, one of trichotomy can be by prevention and health care to avoid the disease early stage of one third is sent out Existing available effective control, the disease of one third by effectively can be improved therapeutic effect jointly.Therefore, to life side The relevant disease of formula is tentatively prevented critically important.But in most cases, according to personal knowledge, we do not know specifically How to make the life better habit.Therefore, by purposefully changing user health behavior after expert such as doctor suitably instruct Scheme improves the healthy Lifestyle of user.Patient behavior in the prior art changes model, is tested using structural equation model Each adjusting factor such as dangerous criminal, outcome expectancy, action plan, preparedness plan, behavior embodiment, behavior change in card behavior model Become and intervening variable (motivation, will) and its relationship changed with healthy behavior, Lai Shixian user's living-pattern preservation.

For example, the Chinese patent literature of Publication No. CN1409844 discloses a kind of health guidance method and health guidance System.Health guidance method using family the following steps are included: apply, to user's transmission for storing Jie of the information about health Matter；Withdraw the medium stored about user health information；The information about user health of storage in the medium is extracted, by this Information input ill-condition analysis expert system；Ill-condition analysis expert system provides the instruction about user health；And it will be ill The instruction about user health that expert system provides is reported to user.But since the correlation that expert system provides refers to The related statement led in scheme is excessively ambiguous, may cause patient and is difficult to hold amount of exercise and run duration when moving, It is even lower for a long time to gradually decrease patient to the confidence and independence of exercise therapy.Simultaneously in patient feedback's motor symptoms Usually by subjective oral account mode to physician feedback motion conditions, doctor can only judge roughly the movement side of patient Case performance, it is difficult to continue to improve motion scheme to meet different patient's different times demands.

Have benefited from the fast development of mobile terminal technology under " internet+" background, mobile terminal becomes people's life Necessity has outstanding convenience and real-time, but also mobile terminal can monitor user's sign, movement, diet in real time Equal living habits can be used for example the personal wearable device detection user's such as motion bracelet, sport shoe-pad mobile phone, Sports spectacles Sign data, exercise data and dietary data, and these data are uploaded to cloud server or Telemedicine is put down Platform etc. calculates equipment, and carries out analysis assessment and generate individual mobile terminal or calculating that corresponding guidance program pushes to user Terminal realizes that the guidance of healthy Lifestyle avoids doctor to instruct and feed back using data to a certain extent Statement and the ambiguous problem of field feedback.

For example, the Chinese patent literature of Publication No. CN107169286A discloses a kind of health diet guidance method and is System, this method comprises: obtaining and storing the physical condition and living habit record of user；Judge whether to meet triggering health diet Instruct the condition of event；When judge meet triggering health diet instruct the condition of event when, by this user current time it Physical condition and living habit record in preceding preset time period are input in the mathematical model pre-established, utilize the mathematics Model calculates the health diet guidance program for this user, and the calculated health diet guidance program is sent to this User.

For example, the Chinese patent literature of Publication No. CN105205323A discloses a kind of being good for based on user's sign data Health diet guide system and method is applied in refrigerator, this method comprises: when the food weight in the food weighing pan in refrigerator When changing, the sign data and healthy diet of user are obtained from cloud health service platform by the communication unit in refrigerator Index；The type of food is identified by the food mark code that rfid device scans food weighing pan；According to the weight of food The nutrition information that user has eaten is determined with type；Believed according to the nutrition that the sign data of user and user have eaten Cease the current diet index for determining user；When the current diet index of user is more than healthy diet index, it is current to generate user Diet arrange in pairs or groups suggest.The invention can using the cloud health service platform of health service hospital obtain user sign data come The health status for determining user, according to the health status of user provide corresponding diet collocation information and diet Improving advice for Family reference.

For example, the Chinese patent literature of Publication No. CN109360628A discloses a kind of healthy meals based on artificial intelligence Nutrition guide method and system are eaten, passes through wireless transport module signal the system comprises multiple sub- ends of guidance and is connected to diet In management end, dietary management end is also electrically connected with diet nutritional formulation module and database, microprocessor are electrically connected with Power module, display module, operation module, storage module, dietary management unit, alarm unit, timer, data transmit-receive mould Block, data processing module, data identification module and data entry element, so as to send and receive corresponding data, Timer is also electrically connected with execution module, and dietary management unit is also electrically connected in execution module.The invention additionally provides A kind of health diet nutrition guide method based on artificial intelligence.The invention can realize every the crowd of different health status The individual instructions of day health diet nutrition help user to reach health objectives.

For example, the Chinese patent literature of Publication No. CN106709220A discloses a kind of detection of healthy diet with guidance is System, comprising: data acquisition device, data acquisition device include: for acquiring the first acquisition module of modified data information, being used for The first processing module handled modified data information and the first communication module for sending modified data information, first Acquisition module is electrically connected with first processing module, and first processing module is electrically connected with the first communication module；For receiving food number It is believed that breath is with user information and the terminal installation being processed and displayed and for receiving modified data information and user information simultaneously The cloud device of classification storage, statistical analysis and feedback, the first communication module and terminal installation or cloud device are carried out to it Wired or wireless communication connection, terminal installation and the wired or wireless communication connection of cloud device, healthy diet detection and guidance System, which is realized, carries out health detection to diet, carries out healthy diet guidance to people.

For example, the Chinese patent literature of Publication No. CN109785952A discloses a kind of intelligent constitution scale and its management system System and matching process and health guidance system and health guidance method based on intelligent constitution scale, wherein the matching process packet It includes step: (a) obtaining the content about an intelligent constitution scale；(b) side by analysis about the content of the intelligent constitution scale Formula determines the type of the intelligent constitution scale；(c) matching strategy is generated according to the type of the intelligent constitution scale；And (d) The matching strategy is executed, so that the management system is automatically matched with the intelligent constitution scale.

For example, the Chinese patent literature of Publication No. CN105976288A, which discloses a kind of student movement, instructs system, wrap Include registration/login module；Motion recording module, according to the moving target of User setting and the daily physical exertion of input Situation calculates the amount of exercise of student, judges to move situation up to standard and feeds back to User；Evaluation of physical fitness and health module, to student's body Matter index scored, is evaluated and the diagnosis of index superiority and inferiority situation, and the evaluation of physical fitness and health report of different editions is generated；Exercise guidance scheme Module reports middle finger target superiority and inferiority situation situation according to the health account and evaluation of physical fitness and health of student, from exercise guidance scheme Exercise guidance scheme is targetedly selected in database, is shown at the terminal in the form of text, video or picture.

But the basic step of healthy living guidance method disclosed in above patent document is all detection-health evaluating-life At guidance program, lack tracking and assess relevant module, causes many links of guidance method disclosed in above patent document logical Be often mutually to isolate or incomplete, do not form the complete circulatory system, reduce the efficiency of system, increase operation at This and resource consumption, the Pu Hui for seriously constraining health service are promoted.

For example, the Chinese patent literature of Publication No. CN107526931A discloses a kind of health based on the personalized factor The method of assessment establishes regular factor library according to standard literature guide information；Bring the personal information of user into regular factor Library obtains the A class assessment result of user, carries out dynamic monitoring to user according to the variable information in user's A class assessment result, obtains To the B class assessment result of user；According to the personal information of user and medical advice information, level-one logical table is established, A class is commented Estimate result and B class assessment result is brought into level-one logical table, the C class for obtaining user instructs result；Referring to medical advice information, build Vertical two-level logic table, instructs result to bring two-level logic table into C class, obtains the synthesis guidance system of user；According to the comprehensive of user Guidance system and the dynamical feedback information of user are closed, the health guidance report of user is obtained.Through the invention, it solves existing strong Existing personalized low, the problem of real-time difference of health assessment.

For example, the Chinese patent literature of Publication No. CN104091080B disclose a kind of intelligent exercise guide system and Its closed loop guidance method, it is characterized in that composition include: by questionnaire unit, moving target reasoning element, motion scheme generation unit, The remote service platform of body-building administrative unit composition, healthy sign test module, locomitivity test module, intelligent fitness equipment Tool module；Questionnaire unit is for collecting user basic information and health and fitness information；Healthy sign test module is at the beginning of acquiring user The test index data for the healthy sign that begins；Locomitivity test module is used to acquire the test index number of user's initial motion ability According to；Moving target reasoning element is for obtaining user movement target；Motion scheme generation unit is for generating motion scheme；Intelligence Change health and fitness facilities module for executing motion scheme；Body-building administrative unit is for the assessment of movement effects and the tune of motion scheme It is whole.The invention by detection, assessment, body-building, feedback a whole set of software and hardware system, be based on user health detect on the basis of, Realize the demand of body-building by scientific methods.

Guidance method disclosed in above-mentioned two patent document and system, using closed loop " detection-assessment-guidance-is anti- Relevant module is assessed in the step process that can be recycled of feedback ", setting tracking, avoid the links of system mutually isolate or Incomplete, to form the complete circulatory system, increases the efficiency of system, avoid operating cost and resource consumption.But it uses Family detection or user the user's sign data, exercise data and the dietary data that upload not only always through detection, assessment, It instructs and feeds back in each step, and user's sign data, exercise data and dietary data are mutually correlated with each other, example If the different physiological status of user may will affect the athletic performance and diet appetite of user, i.e. user's sign data may shadow The exercise data and dietary data of user are rung, and the motion state of user also will affect the physiological characteristic and diet appetite of user, That is the exercise data of the user sign data and dietary data that are able to reflect user to a certain extent, similarly, the diet number of user According to the reflection for being user's sign data and exercise data, therefore user's sign data, exercise data and dietary data form The entirety for the circulation that intersects can be complementary to one another confirmation.And the document of above-mentioned patent disclosure detection, assessment, guidance and In the links such as feedback, the polynary fusion of user's sign data, exercise data and dietary data, and its sign are not accounted for Data, exercise data and dietary data are the individual for isolating, isolating, and can not be reduced by the multivariate data of cross-circulation The interference of data bring and uncertainty of wearable device and the detection of other mobile terminals, can not sketch the contours the body of user comprehensively Information may make that system is instructed to do the guidance to make mistake, cause to instruct ineffective systems, while can not also carry out data Source carry out reliability detection so that instruct system it is with a low credibility under.In addition, above patent document is in sign data, movement number Accordingly and the polynary user data such as dietary data carries out mechanical fusion by sorting, there is no in view of multivariate data each other It is the entirety for being complementary to one another confirmation, in some cases, the sequence lower data of rank may play a decisive role, it is therefore desirable to Synthesis dynamically merges multivariate data.

In addition, on the one hand since the understanding to those skilled in the art has differences；On the other hand since inventor makes Lot of documents and patent are had studied when of the invention, but length limits and do not enumerate all details and content in detail, however this is absolutely Non-present invention does not have the feature of these prior arts, and present invention has been provided with all features of the prior art, Er Qieshen Ask someone to retain the right for increasing related art in the background technology.

Summary of the invention

The present invention provides, for the existing health guidance system using closed loop " detection-assessment-guidance-feedback " and Method does not account for the polynary fusion of user's sign data, exercise data and dietary data, leads to not follow by intersecting The multivariate data of ring reduces the data bring interference of wearable device and the detection of other mobile terminals and uncertain, thus So that instructing ineffective systems, while can not also reliability detection be carried out to the source of data, cause to instruct the credible of system Low problem is spent, the present invention is by form closing to being mutually authenticated for user's sign data, exercise data and dietary data Formula is complementary to one another the syncretizing mechanism of confirmation, can not only improve the efficiency for instructing system to generate guidance program, additionally it is possible in correlation Knowledge based library supplement user's sign information, motion information and diet information in the insufficient situation of user data, and reduce terminal The uncertainty and interference of detection data guarantee the accuracy and reliability of user health assessment.Moreover, the present invention is by melting The polynary user data closed generates corresponding outcome expectancy and combines, thus identify and determine user's health problem urgently to be resolved, And fully considered the health status, locomitivity and diet style of user's individual, generate the first health for agreeing with individual subscriber Life Guidance scheme, and comprehensively considered the rule movement of user and healthy diet is intended to, ambient enviroment is to the support feelings of movement Condition provides personalized guidance program.In addition, being additionally provided more to improve the effect of user health lifestyle modification Second healthy living guidance program of expected results easy to accomplish, allows users to timely and effectively obtain positive feedback knot Fruit can be improved the experience effect of user, improves curative effect perception, so as to avoid the resentment of user, enables a user to Enough permanent living habits of keeping fit.

Healthy Lifestyle based on multivariate information fusion instructs system, includes at least cloud processor, at least one end End and cloud storage medium.The cloud processor is configured to the user for uploading user and medical staff by the terminal Data are stored in the cloud storage medium.The cloud processor is strong based on including at least in the cloud storage medium The history of health assessment expected results and treatment assessment expected results instructs sample database to filter out for pushing to the first of the terminal Beginning guidance program.It is pre- that assessing for health evaluating and/or treatment for relative users is provided from terminal to the cloud processor Phase is as a result, enable the cloud processor to choose corresponding multiclass based on the fused polynary user data of the user History instructs sample database and can generate first for health evaluating based on the fused polynary user data of the user As a result and for treating the second result assessed.Described first the result is that be presented in the terminal in the first way, and described second As a result the second method for being different from the first method is presented in the terminal.The cloud processor is in response to user couple The selection of first result or the second result filters out the first first class history that the multiclass history instructs one of sample database It instructs sample database according to the fused polynary user data of the user and refers to the selection of first result or the second result, The the described first first class history filtered out to terminal offer instructs several optional initial guidance sides in sample database Case.

It is described to instruct system configuration for as follows to the polynary user data according to a preferred embodiment It is merged:

The cloud processor at least can be associated with the cloud based on user's sign information of the polynary user data The history for including at least health evaluating expected results and treating assessment expected results in storage medium instructs sample database to give birth to respectively At the expected diet information b of the first desired movement information a and first；

Motion information of the cloud processor based on the first desired movement information a and the polynary user data The difference degree assessment of the diet information of difference degree and the first expected diet information b and the polynary user data is simultaneously Correct user's sign information, motion information and diet information.

According to a preferred embodiment, in the difference degree of the first desired movement information a and the motion information More than the first movement differential value and the difference degree of the first expected diet information b and the diet information is less than the first drink In the case where eating difference value, the cloud processor is based on the motion information association history and sample database is instructed to generate respectively The expected diet information b of first prospective users sign information a and second.The cloud processor is based on the diet information and is associated with institute Stating history instructs sample database to generate the second prospective users sign information a and the second desired movement information b respectively.The cloud processing Difference degree of the device based on the first prospective users sign information a and the second prospective users sign information a, described second The difference degree and the second expected diet information b and the diet information of desired movement information b and the motion information Difference degree assess user's sign information, motion information and diet information.

According to a preferred embodiment, in the difference degree of the first desired movement information a and the motion information More than the first movement differential value and the difference degree of the first expected diet information b and the diet information is more than the first diet In the case where difference value, the cloud processor is based on the first prospective users sign information a, the second prospective users sign is believed It ceases a and corrects user's sign information.

It is described to instruct system configuration to carry out health evaluating to user as follows according to a preferred embodiment And/or treatment assessment: the cloud manager is based on fused polynary user data and is associated with the knowledge base to user health Risk, locomitivity and diet are assessed, to generate outcome expectancy set, kinematic parameter and diet parameter respectively. The outcome expectancy set is included at least according to risk class the first result of sequence and according to the complexity for completing expected results Second result of sequence.

According to a preferred embodiment, in several optional initial guidance sides that user selects the terminal to present In the case that one of case carries out healthy living guidance and feeds back health guidance effect to the cloud processor, the cloud processing Device provides the difference being stored in the cloud storage medium to the terminal based on the information that user is fed back by the terminal Several optional first guidance programs of several optional initial guidance programs in sample database are instructed in such history.In user It instructs several optional first guidance programs in sample database to carry out healthy living according to such history that the terminal is presented to refer to In the case where leading and being fed back to the cloud processor still without achieving the desired results by the terminal, the cloud processor Response is different from the user selection to first result or the second result for the first time, filters out first different from described first Class history instructs the multiclass history of sample database to instruct one of sample database.According to the fused polynary user data of the user And it is different from the user selection to the first result or the second result for the first time with reference to described, the offer of Xiang Suoshu terminal is filtered out Such history instruct several optional second guidance programs in sample database.

According to a preferred embodiment, several initial guidance programs include at least the first initial guidance program and Second initial guidance program.The cloud processor is based on highest first outcome expectancy of risk rating in first result It generates the first first class history and instructs sample database, and assess the kinematic parameter of user, diet parameter, the surrounding enviroment of user And motion intention instructs sample database to carry out screening the first initial guidance program of generation the described first first class history.The cloud End processor is generated based on the second outcome expectancy that the complexity for reaching expected results in second result is graded minimum Second first class history instructs sample database, and assess the kinematic parameter of user, diet parameter, the surrounding enviroment of user and Motion intention instructs sample database to carry out screening the described second first class history and generates the first initial guidance program.

According to a preferred embodiment, it is movable that the initial guidance program progress related guidance is based in the user In the case of, user data, the initial guidance program when cloud manager carries out related guidance activity based on user The self-feedback of execution state and user correct the initial guidance program.If the cloud processor is according to the user's It does modified initial guidance program and analyzes its terminal for instructing trend and tendency information being pushed to the specific user.By the terminal Determine that at least three instruct path based on the variation tendency of its modified initial guidance program, wherein one is instructed path at least Including instructing rank for motion information, wherein another is instructed path to include at least and instructs rank for diet information, Wherein third instructs path to include at least the variation tendency according to similar users and that formulates instructs rank for sign information. The same section that the similar users are at least in the first result of health evaluating or the second result for the treatment of assessment is more than the One threshold value.

Healthy Lifestyle guidance method based on multivariate information fusion, the guidance method include at least: cloud processing Device is configured to for user and medical staff being stored in the storage medium of cloud by the user data that terminal uploads, and based on described The history for including at least health evaluating expected results and treating assessment expected results in the storage medium of cloud instructs sample database to sieve Select the initial guidance program for pushing to the terminal.From terminal to cloud processor offer relative users for health The expected results of assessment and/or treatment assessment, enable the cloud processor based on the fused polynary use of the user User data come choose corresponding multiclass history instruct sample database and can the fused polynary user data based on the user come It generates for the first result of health evaluating and for treating the second result assessed.Described first the result is that be in the first way Now in the terminal, the second method that second result is different from the first method is presented in the terminal.It is described Selection of the cloud processor in response to user to first result or the second result filters out the multiclass history and instructs sample The first class history of the first of one of library instructs sample database.According to the fused polynary user data of the user and with reference to described the The selection of one result or the second result, Xiang Suoshu terminal provide the described first first class history filtered out and instruct in sample database Several optional initial guidance programs.

It is described to instruct system configuration for as follows to the polynary user data according to a preferred embodiment It is merged:

The cloud processor at least can be associated with the cloud based on user's sign information of the polynary user data The history for including at least health evaluating expected results and treating assessment expected results in storage medium instructs sample database to give birth to respectively At the expected diet information b of the first desired movement information a and first；

Motion information of the cloud processor based on the first desired movement information a and the polynary user data The difference degree assessment of the diet information of difference degree and the first expected diet information b and the polynary user data is simultaneously Correct user's sign information, motion information and diet information.

Advantageous effects of the invention include following one or more:

1, by the verifying intersected with each other to user's sign information, motion information and diet information, number of users can be examined According to reliability, uncertainty, avoid system using insecure data generate guidance program, ensure that system generate guidance side Case can precisely match the actual conditions of user；

2, it is investigated different from the prior art by the risk tolerances that questionnaire form carries out, the present invention passes through to user's sign The verifying intersected with each other of information, motion information and diet information avoids the deviation that user's subjective bias introduces in questionnaire form, It is assessed and is verified by user data completely, can more accurate, objectively reflect the practical health condition of user；

It 3, can be fast and effeciently by the verifying intersected with each other to user's sign information, motion information and diet information Confirm abnormal data, and user or doctor terminal are reminded for abnormal data, so as to remind user or doctor in time It is raw that body detection is re-started to user, avoid doctor from doing the diagnosis to make mistake to user, to avoid subsequent therapeutic scheme Mistake；

It 4, can be fast and effeciently by the verifying intersected with each other to user's sign information, motion information and diet information User data is realized and is corrected, redundancy detection is avoided, improves system effectiveness；

5, by the verifying intersected with each other to user's sign information, motion information and diet information, user's sign is realized The syncretizing mechanism of information, motion information and diet information closed circulation each other, formed imperfectly, the print each other that connects each other The entirety of card instructs the stability of system so as to improve the present invention, will not because of a certain data exception and cause to generate Guidance program accuracy reduce, but also can pass through the cross validation of circulation, constantly improve data accuracy；This Outside, additionally it is possible to the response time of system is improved, to improve the efficiency that system generates guidance program.

Detailed description of the invention

Fig. 1 is the module connection diagram of one preferred embodiment of system of the invention；With

Fig. 2 is the flow diagram of a preferred embodiment of method of the invention.

Reference signs list

1: cloud processor 2: terminal

3: cloud storage medium 4: history instructs sample database

5: initial guidance program 6: user's sign information

7: motion information 8: diet information

9: knowledge base 10: outcome expectancy set

6a: the first desired movement information 6b: the first is expected diet information

7a: the first prospective users sign information 7b: the second is expected diet information

8a: the second prospective users sign information the 8b: the second desired movement information

41: the first first class history instruct the first class history of sample database 42: the second to instruct sample database

51: the first initial guidance programs of initial guidance program 52: the second

101: the first result, 102: the second result

Specific embodiment

With reference to the accompanying drawing 1 and attached drawing 2 be described in detail.