CN104123445A - Exercise goal reasoning system based on multi-source information - Google Patents

Abstract

The invention discloses a sports goal reasoning system based on multi-source information, which is characterized in that it consists of: a remote service platform composed of a questionnaire unit and a sports goal reasoning unit, a health sign test module and a sports ability test module; the questionnaire unit is used for Collect user health information to obtain information on diseases, discomforts, and abnormal indicators selected by the user; the health sign test module is used to collect the test index data of the user's health signs, and obtain the diseases displayed in the health test report; the exercise capacity test module is used to Collect the test index data of the user's exercise ability, obtain the abnormal information of the indicators displayed in the exercise test report; and sort the information by priority, and obtain the highest priority item in the sorted results as the exercise goal. The invention can combine the user's health information and instrument detection data to obtain the exercise target suitable for the user, thereby instructing the user to exercise in a scientific, coherent, systematic and safe manner.

Description

A Moving Target Reasoning System Based on Multi-source Information

technical field

The invention relates to the field of sports and fitness, in particular to a sports goal reasoning system based on multi-source information.

Background technique

With the improvement of national living standards and the rapid development of the economy, people are no longer concerned only with food, clothing, housing and transportation. The demand for health and stress relief is also increasing. Health and decompression must be inseparable from exercise and fitness, and the field of exercise and fitness is also developing rapidly. develop.

Although the fitness industry is gradually developing and nearly mature, there are still many problems, as follows:

1. Most of the current fitness centers focus on the training equipment, but ignore the comprehensive detection of the user's health signs and exercise ability, and the user's health assessment is also lacking in comprehensiveness.

2. The fitness guidance for users in fitness venues mainly relies on the personal experience of fitness coaches, lacks long-term planning for users' exercise goals and fitness effects, and lacks scientific and coherent fitness guidance.

3. Traditional fitness venues lack batch collection of users’ health information. Fitness coaches mostly focus on body shaping and lack a comprehensive grasp of health knowledge. Therefore, users with chronic diseases or disease history cannot be given correct fitness training. Guidance, the risk of exercise is relatively high.

The above problems lead to the fact that the current fitness venues are too simple and extensive in determining the user's exercise goals, lacking in scientificity and systematicness, especially for users with chronic diseases or a history of diseases, they lack a complete set of reasoning methods. Especially for individual users, the lack of complete information leads to a lack of a complete reasoning basis for moving targets, and a lack of systematic reasoning methods.

Contents of the invention

In order to avoid the shortcomings of the existing technology, the present invention proposes a moving target reasoning system based on multi-source information, which can combine user health information and instrument detection data to obtain a moving target suitable for the user, thereby guiding the user to carry out scientific research. Sexual, coherent, systematic and safe fitness.

The present invention adopts following technical scheme for solving technical problems:

A kind of sports goal inference system based on multi-source information in the present invention is characterized in that it is composed of: a remote service platform composed of a questionnaire unit and a sports goal inference unit, a health sign test module and a sports ability test module;

The questionnaire unit is used to collect user health information and provide it to the exercise goal reasoning unit;

The health sign test module is used to collect the test index data of the user's health sign and provide it to the exercise goal reasoning unit;

The exercise ability test module is used to collect test index data of the user's exercise ability and provide it to the exercise target reasoning unit;

According to the user's health information, the exercise target reasoning unit obtains the diseases, discomforts, and index abnormalities selected by the user, obtains the diseases displayed in the health test report according to the test index data of the user's health signs, and obtains the diseases displayed in the health test report according to the The test index data of the user's exercise ability obtains the abnormal information of the indicators displayed in the exercise test report, the diseases, discomforts, and abnormal indicators selected by the user, the diseases displayed in the health test report, and the indicators displayed in the exercise test report The abnormal information constitutes multi-source information, and the multi-source information is prioritized, and the highest priority item among the sorted results is obtained as a moving target.

The present invention is based on the characteristics of the moving target reasoning system of multi-source information as well,

The prioritization is performed according to the following steps:

Step 1. Sorting the multi-source information according to the sorting rules to obtain the first sorting result;

The first sorting rule is: the disease level takes precedence over the discomfort level, and the discomfort level takes precedence over the index abnormality level;

Step 2. Sorting the first sorting result according to sorting rule 2 to obtain the second sorting result;

The second sorting rule is: at the same level, the circulatory system takes precedence over the metabolic system, the metabolic system takes precedence over the digestive system, the digestive system takes precedence over the neuropsychiatric system, the neuropsychiatric system takes precedence over the respiratory system, and the respiratory system takes precedence over the neuromuscular system , the neuromuscular system takes precedence over the skeletal system.

The questionnaire unit includes the PAR-Q questionnaire, the exercise contraindication screening questionnaire and the common chronic disease or discomfort questionnaire of the human body;

The PAR-Q questionnaire and the exercise contraindication screening questionnaire are used to exclude users whose exercise does more harm than good;

The questionnaire on common chronic diseases or discomforts in the human body includes common disease levels, common discomfort levels, and common abnormal index levels, and the common disease levels include hypertension belonging to the circulatory system, non-alcoholic fatty liver belonging to the metabolic system, and Type 2 diabetes, anxiety and depression belonging to the neuropsychiatric system, arthritis and cervical spondylosis belonging to the skeletal system. The abnormal levels of common indicators mentioned above include dyslipidemia and impaired glucose tolerance belonging to the metabolic system.

The health sign testing module includes a body composition tester, a cardiovascular function tester, a pulmonary function tester, a body balance tester and a bone density tester;

The human body composition tester judges according to the body fat rate index included in the self-health test report, and obtains the obesity degree of the user. The obesity degree is divided into normal body fat, overweight and obesity, and the exercise target reasoning unit selects Overweight or obesity is included in the disease class of the metabolic system;

The cardiovascular function tester judges respectively according to the blood pressure value, growth index and subendocardial myocardial vitality contained in the self-health test report, and obtains the blood pressure level of the user according to the blood pressure value, and the blood pressure level is divided into Low blood pressure, normal blood pressure, high normal value, grade one hypertension, grade two hypertension and grade three hypertension, the motion target inference unit selects low blood pressure, normal high value, grade one hypertension or grade two hypertension to be included In the disease class of the circulatory system;

The cardiovascular function tester obtains the user's blood vessel stiffness according to the growth index. The blood vessel stiffness is divided into normal blood vessels, arteriosclerosis signs, and arteriosclerosis. The moving target reasoning unit selects arteriosclerosis signs or arteriosclerosis Cirrhosis is included in the disease class of the circulatory system;

The cardiovascular function tester obtains the cardiac function ability of the user according to the viability rate of the subendocardial myocardium, and the cardiac function ability is divided into normal cardiac function, poor cardiac function, and very poor cardiac function; the exercise target reasoning unit Poor heart function or very poor heart function is selected to be included in the disease level of the circulatory system;

The lung function tester judges according to the forced vital capacity included in the self-health test report, the ratio of the forced expiratory volume in the first second to the forced vital capacity, and the ratio of the forced expiratory volume in the first second to the predicted value. The ratio of the forced expiratory volume in one second to the forced vital capacity and the ratio of the forced expiratory volume in the first second to the predicted value are used to obtain the user's COPD judgment result, which is obtained according to the forced vital capacity and the ratio of the forced expiratory volume in the first second to the forced vital capacity Judgment results of the user's ventilation dysfunction, the judgment results are divided into normal lung ventilation function, low vital capacity, ventilation defect, and COPD, and the motion target reasoning unit selects low lung capacity, ventilation defect, or COPD as a disease of the respiratory system level;

The body balance tester judges according to the center shaking speed included in the self-health test report, and obtains the user's static balance ability. The static balance ability is divided into normal balance ability, excellent balance ability, and poor balance ability. The target reasoning unit selects poor balance ability to be included in the disease level of the neuromuscular system;

The bone density tester judges according to the user's bone strength index and T value contained in the self-health test report, and obtains the degree of osteoporosis of the user. The degree of osteoporosis is divided into normal osteoporosis, osteopenia and osteoporosis. Osteoporosis, the motion target reasoning unit selects osteopenia or osteoporosis to be included in the disease level of the skeletal system.

The exercise capacity testing module includes an aerobic endurance tester and a muscle strength tester,

The aerobic endurance tester judges according to the speed, slope, heart rate and Meter value contained in the self-exercise test report, and obtains the cardiopulmonary endurance rating, and the cardiopulmonary endurance rating is divided into poor cardiopulmonary endurance, poor cardiopulmonary endurance, and cardiopulmonary endurance. Good endurance and excellent cardiopulmonary endurance, the exercise target inference unit selects poor cardiopulmonary endurance or poor cardiopulmonary endurance to be included in the index abnormality level of the circulatory system;

The muscle strength tester judges according to the maximum strength contained in the self-exercise test report, and obtains a muscle strength rating. The muscle strength rating is divided into poor muscle strength, poor muscle strength, good muscle strength and excellent muscle strength. The movement target inference unit selects poor muscle strength or poor muscle strength to be included in the index abnormality level of the neuromuscular system.

Compared with the prior art, the beneficial effects of the present invention are reflected in:

1. The present invention is based on a whole set of health sign detection instruments, exercise ability detection instruments and user questionnaires, combined with each unit in the remote service platform, to realize the collection of user questionnaire information, the test of health signs and exercise ability, health Evaluate and complete the reasoning process of exercise goals, so as to give users exercise goals more rationally and realize scientific fitness.

2. The integrated health sign detection instrument and exercise ability detection instrument of the present invention have passed the verification of effectiveness and reliability, are low in cost, are non-invasive, self-service instruments, are easy to operate, can be used in batches, and are used to detect user's Health signs: body composition, cardiopulmonary function at rest, balance ability, bone density and bone strength, exercise capacity: muscle strength and muscle endurance, lay the foundation for the reasoning process of exercise goals, and solve the isolation of fitness equipment in the current fitness field Existence and lack of scientific testing before fitness. The test result data is directly uploaded and saved. Users can log in to the remote service platform to view it. Fitness coaches can also retrieve, review, and batch manage user information through the remote service platform, making fitness guidance more scientific and convenient. refer to.

3. The present invention integrates the idea of scientific fitness into the system, determines the exercise target through the exercise target reasoning unit, and determines the exercise plan by the exercise target, thereby performing personalized guidance and management on the crowd, realizing the function of automatically generating exercise plans, allowing The generation of motion plans can also be informatized and intelligent.

4. The present invention collects the user's disease history, family history, and discomfort information in the form of questionnaire survey, collects the user's health status in a quiet state through health sign detection, and collects the user's exercise quality ability through the exercise ability test, and integrates the three aspects Information, conduct a complete health assessment of the user, and determine the exercise goal according to the reasoning principle, which is more comprehensive and systematic.

5. For users with multiple disease problems, the present invention proposes a set of priority reasoning methods, and prioritizes the user's multiple disease problems according to the definitions of different human body systems and different disease problems, and infers the most priority exercise Goals, and refer to the user's personal feelings to determine the sports goals to be managed. The method takes into account the scientific nature and the user's feelings, and is more humane.

6. The present invention can obtain user information remotely and in batches, and interact with users in real time through a website, thereby improving user compliance.

Description of drawings

Fig. 1 is a schematic diagram of the overall structure of the present invention.

Detailed ways

In the present embodiment, as shown in Figure 1, the composition of a kind of sports target reasoning system based on multi-source information comprises: the long-distance service platform that is made of questionnaire unit, sports target reasoning unit, health sign test module and athletic ability test module; The remote service platform does not directly interact with each module, but uses database interaction with each module to realize the interaction of various information. The database uses the MySql database. Each module accesses the MySql database to obtain relevant data for operation, and then returns the result data to the database. The remote service platform obtains the result data for operation and display.

The questionnaire unit is used to collect user health information and provide it to the exercise goal reasoning unit; at the same time, according to the user health information, user screening is performed to obtain suitable exercise fitness groups, and exercise risk assessment is performed to obtain exercise risk assessment results; user health information includes user basic information and The information collected by various questionnaires; the questionnaires provided by the questionnaire unit include the PAR-Q questionnaire, the exercise contraindication screening questionnaire, the cardiovascular risk assessment questionnaire and the common chronic disease or discomfort questionnaire in the human body;

During specific implementation, the remote service platform first collects basic user information through user registration: name, gender, age, weight, height, and emergency contact number. This system is aimed at users with an age range of 15-69. Users or pregnant women need to be screened out, which is not within the scope of information collection in this unit;

The PAR-Q questionnaire and the exercise contraindication screening questionnaire are used to exclude users whose exercise harms outweigh the benefits; users who tick any item in the PAR-Q questionnaire or the exercise contraindication screening questionnaire indicate that their exercise harms outweigh the benefits, so the screening In addition, users are advised to go to a medical unit for further diagnosis and treatment through the display on the website, and temporarily refrain from participating in exhaustive exercise tests and fitness exercises; the information collected from the user's basic information, PARQ questionnaire and exercise contraindication screening questionnaire is suitable for exercise and fitness crowd;

Carry out exercise risk assessment through cardiovascular risk assessment questionnaire; exercise risk assessment results include: exercise risk high risk, exercise risk medium risk and exercise risk low risk; cardiovascular risk assessment questionnaire includes disease screening, symptom screening and risk factor screening three If one of the "Disease Screening" or "Symptom Screening" is checked as "Yes", the user is determined to be a high-risk group, and the name of the disease is recorded. Medical supervision is required during the exercise test ;Users with more than or equal to two "risk factor screenings" are determined as moderate-risk groups, and it is recommended in the exercise program that moderate-risk groups should perform high-intensity exercise (heart rate exceeding 150 beats/min or greater than 70% of maximum strength or RPE Medical supervision when greater than 14).

Questionnaire on common chronic diseases or discomforts in the human body, formulated based on literature collection and pre-investigation, including common discomforts and health conditions that are common to the human body and beneficial to exercise, including common disease levels, common discomfort levels, and abnormal levels of common indicators, common Disease levels include high blood pressure belonging to the circulatory system, non-alcoholic fatty liver disease and type 2 diabetes belonging to the metabolic system, anxiety and depression belonging to the neuropsychiatric system, arthritis and cervical spondylosis caused by long-term sitting at a desk belonging to the skeletal system, common Discomfort grades include abdominal distension, bloating and constipation caused by lack of exercise belonging to the digestive system, low back pain belonging to the skeletal system, and abnormal levels of common indicators include dyslipidemia and impaired glucose tolerance belonging to the metabolic system. The disease, discomfort, and index abnormality information selected by the user is obtained through the common chronic disease or discomfort questionnaire of the human body, and provided to the movement goal reasoning unit to participate in the movement goal reasoning.

The health sign test module is used to collect the test index data of the user's initial health sign and provide it to the exercise target reasoning unit; the health sign test module includes a body composition tester, a cardiovascular function tester, a lung function tester, a body balance tester and bone density tester;

The body fat rate was obtained by the human body composition tester, the blood pressure value, growth index and subendocardial myocardial vitality rate were obtained by the cardiovascular function tester, the forced vital capacity, forced expiratory volume in the first second and the effort were obtained by the lung function tester The ratio of lung capacity and the ratio of the forced expiratory volume in the first second to the predicted value, the center shaking speed obtained by the body balance tester, and the bone strength index and T value obtained by the bone density tester;

Body fat percentage, blood pressure, growth index, subendocardial myocardial viability, forced vital capacity, ratio of forced expiratory volume in the first second to forced vital capacity, ratio of forced expiratory volume in the first second to predicted value, and central shaking velocity And the bone strength index and T value constitute the test index data of the user's initial health signs.

The human body composition tester judges according to the body fat rate index contained in the self-health test report, and obtains the user's obesity degree. The obesity degree is divided into normal body fat, overweight and obesity. The exercise target reasoning unit selects overweight or obesity as the metabolism In the disease level of the system;

The cardiovascular function tester judges the blood pressure value, growth index and subendocardial myocardial vitality rate contained in the self-health test report, and obtains the user's blood pressure level according to the blood pressure value. The blood pressure level is divided into hypotension, normal blood pressure, High normal value, high blood pressure level one, high blood pressure level two and high blood pressure level three, the exercise target inference unit selects hypotension, high normal value, high blood pressure level one or high blood pressure level two to be included in the disease level of the circulatory system; At the time of implementation, users with grade 3 hypertension have been screened out by the PAR-Q questionnaire.

The cardiovascular function tester obtains the user's vascular stiffness according to the growth index. The vascular stiffness is divided into normal blood vessels, signs of arteriosclerosis, and arteriosclerosis. The motion target reasoning unit selects signs of arteriosclerosis or arteriosclerosis to be included in the disease level of the circulatory system middle;

The cardiovascular function tester obtains the user's heart function ability according to the subendocardial myocardial vitality rate, and the heart function ability is divided into normal heart function, poor heart function, and very poor heart function; the motion target inference unit selects poor heart function or heart function Poorly included in the disease hierarchy of the circulatory system;

The lung function tester judges according to the forced vital capacity contained in the self-health test report, the ratio of the forced expiratory volume in the first second to the forced vital capacity, and the ratio of the forced expiratory volume in the first second to the predicted value. The ratio of the gas volume to the forced vital capacity and the ratio of the forced expiratory volume in the first second to the predicted value are used to obtain the judgment result of the user's COPD, and the judgment result of the user's ventilation dysfunction is obtained according to the ratio of the forced vital capacity and the forced expiratory volume in the first second to the forced vital capacity , the judgment results are divided into normal pulmonary ventilation function, low vital capacity, ventilatory defect, and COPD, and the motion target reasoning unit selects low vital capacity, ventilatory defect, or COPD to be included in the disease level of the respiratory system;

The body balance tester judges according to the center shaking speed contained in the self-health test report, and obtains the user's static balance ability. The static balance ability is divided into normal balance ability, excellent balance ability, and poor balance ability. The movement target reasoning unit selects the balance ability Poor inclusion in the neuromuscular system disease class;

The bone density tester judges according to the user's bone strength index and T value contained in the self-health test report, and obtains the user's osteoporosis degree, which is divided into normal osteoporosis, osteopenia and osteoporosis, and exercise goals The reasoning unit selects osteopenia or osteoporosis to be included in the disease level of the skeletal system.

The exercise ability test module is used to collect the test index data of the user's exercise ability and provide it to the exercise goal reasoning unit; the exercise ability test module includes an aerobic endurance tester and a muscle strength tester. In specific implementation, the aerobic endurance tester is based on a treadmill And heart rate monitoring equipment, including two modes of maximum intensity load test and second maximum intensity load test; muscle strength test is based on the whole body strength test mode of the rowing machine and the lower limb strength test mode of the lower limb strength training equipment, respectively testing the whole body strength and lower limb strength . The exercise ability test module tests the user's exercise quality, and conducts special fitness training for users with limited exercise to improve the user's special exercise ability, thereby improving the comprehensive exercise ability.

The aerobic endurance tester judges according to the speed, slope, heart rate and Meter value contained in the self-exercise test report, and obtains the cardiopulmonary endurance rating. The cardiopulmonary endurance rating is divided into poor cardiopulmonary endurance, poor cardiopulmonary endurance, good cardiopulmonary endurance and cardiopulmonary endurance. Excellent, the exercise target reasoning unit selects poor cardiopulmonary endurance or poor cardiopulmonary endurance to include in the index abnormality level of the circulatory system;

The muscle strength tester judges according to the maximum strength contained in the self-exercise test report, and obtains the muscle strength rating. The muscle strength rating is divided into poor muscle strength, poor muscle strength, good muscle strength and excellent muscle strength. The exercise target reasoning unit selects muscles Poor strength or poor muscular strength is included in the abnormal class of indicators of the neuromuscular system. The test index data of initial exercise ability is composed of speed, slope, heart rate, MET value and maximum strength.

The exercise goal reasoning unit obtains the information on diseases, discomforts, and index abnormalities selected by the user according to the user's health information, obtains the diseases displayed in the health test report according to the test index data of the user's health signs, and obtains the information based on the test index data of the user's exercise ability. The index abnormal information displayed in the exercise test report consists of the diseases, symptoms, and index abnormal information selected by the user, the diseases displayed in the health test report, and the abnormal index information displayed in the exercise test report. The source information is prioritized, and the highest priority item in the sorted results is obtained as the moving target. The prioritization was established in consultation with medical experts in terms of the severity of each disease.

Prioritization is done in the following steps:

Step 1. Sorting the one-to-many source information according to the sorting rules to obtain the first sorting result;

The first sorting rule is: the disease level takes precedence over the discomfort level, and the discomfort level takes precedence over the index abnormality level;

Step 2. Sorting the first sorting result according to sorting rule 2 to obtain the second sorting result;

The second sorting rule is: at the same level, the circulatory system takes precedence over the metabolic system, the metabolic system takes precedence over the digestive system, the digestive system takes precedence over the neuropsychiatric system, the neuropsychiatric system takes precedence over the respiratory system, the respiratory system takes precedence over the neuromuscular system, and the nervous system takes precedence over the neuromuscular system. The muscular system takes precedence over the skeletal system.

During specific implementation, if there are two or more parallel sports goals after the second sorting result, the user will select the result that needs to be improved most urgently as the current sports goal according to the user's self-feeling.

During specific implementation, the exercise plan generating unit and the fitness management unit as shown in the dotted line box in Fig. 1 are added to the remote service platform. Among them, after the exercise goal is determined by inference, the exercise plan generation unit determines the exercise items, exercise duration and exercise frequency according to the exercise goal, and determines the user's exercise intensity according to the exercise goal and the test index data of the initial exercise ability, and according to the exercise risk assessment As a result, it is determined whether medical supervision is required during exercise, and the exercise program is composed of sports items, exercise duration, exercise frequency, exercise intensity and whether medical supervision is required, and is provided to the intelligent fitness equipment module for execution;

Among them, the sports items include warm-up items, main items and finishing items, and the item selection of the main items includes endurance training items, resistance training items, flexibility training items, and comprehensive training items, and the selected items are determined by the exercise goals;

The warm-up event refers to before any main event, with a lighter amount of activity, first move the limbs to prepare for the subsequent more intense physical activity, about 5-10 minutes of jogging or whole-body exercise; the finishing event refers to after any main event, Stretching exercise for about 5 minutes to make the human body transition from a tense state to a quiet state;

The main item in the exercise program is determined according to the user's exercise goal. For example, if the exercise goal is obesity or diabetes or impaired glucose tolerance or osteoporosis or osteopenia or high blood pressure or dyslipidemia, the main exercise item should be endurance training + For resistance training items, if the exercise target is chronic obstructive pulmonary disease or ventilation defect or low vital capacity or hypotension or depression or anxiety, the main exercise item should be endurance training item + flexibility training item; similar exercise items can choose different training equipment, system The default is circular selection, and the user can also modify the selection through the remote service platform. For example, the warm-up items include treadmill warm-up or warm-up items in somatosensory games (such as boxing, table tennis, Latin dance, hula hoop); the tidying items include tidying items in somatosensory games (such as relaxation yoga, Zen energy).

The endurance training items in the main program include treadmill endurance running, rowing machine endurance training mode, power bicycle, elliptical machine; the whole body strength training options in the resistance training program include waist and abdomen training equipment, chest expansion equipment, chest press equipment, high Pull rowing training equipment, lower limb strength training options include lower limb strength training equipment, leg machine equipment, thigh adduction and abduction equipment, and calf stretching equipment; flexibility training items include rowing machine flexibility training mode or flexibility training items in somatosensory games; The comprehensive training items choose the comprehensive training items in the somatosensory game (such as boxing, tennis, rope skipping);

The exercise intensity in the exercise program includes the intensity of endurance exercise and the intensity of resistance exercise. The intensity of endurance exercise is obtained by multiplying the maximum test value of aerobic endurance by the percentage of the maximum test value of aerobic endurance; the intensity of resistance exercise is obtained by the maximum test value of muscle strength Multiplied by the percentage of the maximum test value of muscle strength; the maximum test value of aerobic endurance is obtained by the aerobic endurance tester; the maximum test value of muscle strength is obtained by the muscle strength tester; the percentage of the maximum test value of aerobic endurance and muscle strength The percentage of maximum test value is determined by the motion target.

If the user's exercise goal is diabetes, the user's METmax can be obtained through the aerobic endurance test, and the maximum strength can be obtained from the muscle strength test. Start at 60% of the maximum strength; determine the exercise duration and exercise frequency according to the user's exercise goal. For example, when the exercise goal is diabetes, the duration of endurance training is 20-45min, and the exercise frequency is 2-6 times a week. , The specific time arrangement between the upper and lower limits is selected by the user, the user can freely choose through the remote service platform, the fitness coach will review, and finally determine the exercise plan with the user.

In order to implement the exercise program, add the intelligent fitness equipment module shown in the dotted line box in Figure 1, the intelligent fitness equipment module includes endurance training unit, strength training unit and somatosensory game fitness unit; program; the strength training unit receives a motion program that includes resistance training items, and the somatosensory game fitness unit receives a motion program that includes flexibility training items or comprehensive training items. During specific implementation, the somatosensory game fitness unit also receives warm-up items or The motion plan of the sorting items in the somatosensory game; when the user completes the fitness exercise according to the motion plan, the intelligent fitness equipment module collects the completion result of the user's execution of the motion plan; the completion result includes: the selection result of the sports item, the execution time of the exercise duration , Execution results of exercise intensity;

After the exercise plan is generated, the user executes the exercise plan according to the guidance of the exercise plan. Among them, the user executes the exercise plan, there are two execution methods for the user to choose: first, after the user passes the identity authentication on the intelligent fitness equipment module, the intelligent fitness equipment module downloads the user's current exercise plan from the remote service platform , the intelligent training equipment is remotely controlled by the remote service platform, and the operating parameters of the equipment are automatically set according to the exercise plan (for example, according to the exercise plan, the exercise intensity of aerobic endurance is nMETs, then according to the conversion formula of METs, speed and slope, the running The speed, slope, and setting of the machine), the user clicks start when ready, the instrument starts to run, the user guides the user to complete the fitness according to the exercise program, and the fitness equipment automatically feeds back the completion result of the user's exercise program to the remote service platform; Second, or the user logs in to the remote service platform, and after checking the exercise program of the day, the user chooses an exercise without intelligent training equipment. After the implementation, the user records the completion results of the exercise item, exercise intensity, and exercise duration into the remote service platform. , or the fitness facility can issue a heart rate monitor to the user, and the heart rate of the user during exercise will be uploaded to the remote service platform via Bluetooth, and the intensity of the user's fitness exercise can be evaluated according to the heart rate.

During the specific implementation, in order to ensure that the user can gradually improve the exercise effect, according to the different sports items, the appropriate exercise intensity is given gradually progressively. The progressive principle is: on the premise that the user can adapt to the current exercise intensity, when the user uses the current exercise intensity After a week of high-intensity exercise, progress according to different sports items. Among them, the endurance training program on the treadmill first gradually increases the exercise duration with an increment of 5 minutes per week, and gradually increases the exercise intensity with an increment of 5% METmax per week after reaching the maximum exercise duration; the endurance in the somatosensory game The training program first gradually increased the exercise duration with an increment of 5 minutes per week, and gradually increased the exercise intensity with an increment of RPE1 level per week after reaching the maximum exercise time; the resistance training program first maintained the same intensity, and then increased the exercise intensity by 2 minutes per week. The increasing range of times gradually increases the number of times of exercise in each group, and when each group reaches the maximum number of times of exercise, the intensity is gradually increased in an increasing range of 5%RM per week.

For example, the exercise plan for the first week of diabetes is: treadmill warm-up + main project (cardiopulmonary combat project in the somatosensory game, exercise intensity: RPE12 level (a bit strenuous), exercise duration: 20min) + finishing project (somatosensory game Relaxation yoga; 5min), medical supervision during exercise, progressive principle (increase 5min every week from the second week to the sixth week, until 45min maintenance; principle of increasing intensity: increase RPE1 level every week from the seventh week to the tenth week, until 16 level (difficult) to maintain).

The fitness management unit determines the exercise program execution cycle according to the exercise goal, and after completing the exercise program execution cycle, uses the health sign test module and the exercise ability test module to obtain the updated user health sign test index data and exercise ability test index data respectively and By comparing and analyzing the initial test index data of the user's health signs and exercise ability, the absolute value of the difference between the health signs and exercise ability is obtained, so as to make overall adjustments to the exercise program.

The overall adjustment includes re-selection of sports items, re-determination of exercise intensity and exercise duration. In specific implementation, if the exercise target is an obese user, the execution cycle of the exercise program is 3 months, because the obese user can only achieve a relatively stable effect if he persists in losing weight for 3 months at the shortest time, so when the user executes it for 3 months, Perform the health sign test and exercise ability test on the user again, compare the updated test index data with the initial test data, and calculate the absolute value of the difference. If the absolute value of the difference is less than the target value, the user's exercise program should be adjusted Make overall adjustments. The overall adjustment includes re-selecting sports items, re-determining exercise intensity, exercise duration and exercise frequency. The target value is determined according to the motion target. For example, the user's initial health sign parameters include a body fat rate of 32%, the exercise goal is obesity, and the exercise plan is executed for 3 months, and the target value is determined to be 5%, if the updated body fat rate is obtained after 3 months 28%, then the absolute value of the calculated difference is ︳28%-32%︱=4%<5%, that is, the user’s exercise program should be adjusted as a whole; if the user’s exercise goal is hypotension, the target value should be determined to be 15mmHg , the initial systolic blood pressure is 70mmHg, after 3 months of execution cycle, the updated systolic blood pressure is 80mmHg, then the absolute value of the calculated difference is ︳80mmHg-70mmHg︱=10mmHg<15mmHg, that is, the user’s exercise program should be adjusted as a whole.

The fitness management unit calls the completed results of the intelligent fitness equipment module to calculate the total amount of exercise, so as to evaluate the effect of the exercise program, and the obtained evaluation results are used to adjust the exercise intensity or exercise duration of the exercise program. Calculate the total amount of exercise based on the execution result of the exercise intensity in the completion result and the execution time of the exercise duration. The total amount of exercise is represented by exercise energy consumption. For example, the execution result of a user's exercise intensity is xMETs, and the execution time of the exercise duration is y minutes, then exercise energy consumption (kcal) = (x-1) METs × 3.5 × body weight kg/200 × y minutes. Compare the energy consumption of the actual exercise with the energy consumption of the exercise in the exercise program, and calculate the difference. If the difference is less than zero, it means that the actual exercise intensity or exercise duration is insufficient, and the exercise intensity or exercise duration of the exercise program should be adjusted. Make adjustments, appropriately increase the exercise intensity or appropriately reduce the intensity to increase the exercise duration.

The intelligent fitness guidance system has added a somatosensory game fitness unit, supplemented the lack of conventional fitness items, and added a variety of flexibility, coordination, sensitivity, and comprehensive sports items. Somatosensory games can be used as warm-up items, endurance training items, and flexibility training items. , comprehensive training items, and options for sorting out items, users have more choices. Through the control and guidance of somatosensory game fitness, the goal of fun fitness can be achieved.

Claims (5)

1. the moving target inference system based on multi-source information, is characterized in that composition comprises: the remote service platform consisting of questionnaire unit and moving target reasoning element, healthy sign test module and locomitivity test module;

Described questionnaire unit is used for gathering user health information and offers described moving target reasoning element;

Described healthy sign test module is for gathering the test index data of user health sign and offering described moving target reasoning element;

Described locomitivity test module is for gathering the test index data of user movement ability and offering described moving target reasoning element;

The disease that described moving target reasoning element is chosen according to described user health information acquisition user, uncomfortable disease, Indexes Abnormality information, according to the shown disease of test index data acquisition Fitness Testing form of described user health sign, and according to the shown Indexes Abnormality information of test index data acquisition exercise test form of described user movement ability, the disease of being chosen by described user, uncomfortable disease, Indexes Abnormality information, the Indexes Abnormality information structure multi-source information that the disease that Fitness Testing form is shown and exercise test form are shown, and described multi-source information is carried out to prioritization, override item in acquisition ranking results is as moving target.

2. the moving target inference system based on multi-source information according to claim 1, is characterized in that, described prioritization is to carry out as follows:

Step 1, according to a pair of described multi-source information of ordering rule, sort, obtain ranking results for the first time;

Described ordering rule one is: disease rank has precedence over uncomfortable disease rank, and uncomfortable disease rank has precedence over Indexes Abnormality rank;

Step 2, according to described in two pairs of ordering rules for the first time ranking results sort, obtain ranking results for the second time;

Described ordering rule two is: in rank of the same race, the circulation system has precedence over metabolic system, metabolic system has precedence over digestive system, digestive system has precedence over neural psychiatric system, neural psychiatric system has precedence over respiratory system, respiratory system has precedence over neuromuscular system, and neuromuscular system has precedence over skeletal system.

3. the moving target inference system based on multi-source information according to claim 1, is characterized in that,

Described questionnaire unit comprises chronic disease or the uncomfortable disease questionnaire that PAR-Q questionnaire, motion contraindication examination questionnaire and human body are common;

Described PAR-Q questionnaire and described motion contraindication examination questionnaire are for getting rid of motion user more harm than good;

The chronic disease that described human body is common or uncomfortable disease questionnaire comprise common disease rank, common uncomfortable disease rank and common Indexes Abnormality rank, described common disease rank comprises the hypertension that belongs to the circulation system, the NASH and the type-II diabetes that belong to metabolic system, the anxiety and the depression that belong to neural psychiatric system, the arthritis and the cervical spondylopathy that belong to skeletal system, described common uncomfortable disease rank comprises the abdominal distension that belongs to digestive system, gasteremphraxis and constipation, the back pain that belongs to skeletal system, described common Indexes Abnormality rank comprises dyslipidemia and the impaired glucose tolerance that belongs to metabolic system.

4. the moving target inference system based on multi-source information according to claim 1, is characterized in that:

Described healthy sign test module comprises human body parameters testing equipment, cardiovascular function tester, lung functional instrument, body balance performance monitor and bone density tester;

Described human body parameters testing equipment judges according to the body fat rate index comprising in self Fitness Testing form, obtain user's obese degree, described obese degree is divided into that body fat is normal, Overweight and obesity, and described moving target reasoning element is chosen in the overweight or fat disease rank of listing metabolic system in;

Described cardiovascular function tester judges respectively according to the pressure value, growth indices and the subendocardiac muscle vigor rate that comprise in self Fitness Testing form, according to described blood pressure values obtained, obtain user's blood pressure degree, described blood pressure degree is divided into low blood pressure, normal, the normal high value of blood pressure, one-level hypertension, secondary hypertension and three grades of hypertension, and described moving target reasoning element is chosen low blood pressure, normal high value, one-level hypertension or secondary hypertension and listed in the disease rank of the circulation system;

Described cardiovascular function tester obtains user's the stiff degree of blood vessel according to described growth indices, the stiff degree of described blood vessel be divided into blood vessel normal, have artery sclerosis sign and artery sclerosis, described moving target reasoning element to choose artery sclerosis sign or artery sclerosis is listed in the disease rank of the circulation system;

Described cardiovascular function tester obtains user's Heart function ability according to described subendocardiac muscle vigor rate, and described Heart function ability is divided into that cardiac function is normal, cardiac function is poor, cardiac function is very poor; Described moving target reasoning element is chosen in the very poor disease rank of listing the circulation system in of the poor or cardiac function of cardiac function;

Described lung functional instrument is according to the forced vital capacity comprising in self Fitness Testing form, the ratio of first second forced expiratory volume and forced vital capacity and first second forced expiratory volume and predicted value ratio judge respectively, according to the ratio of described first second forced expiratory volume and forced vital capacity and first second forced expiratory volume and predicted value ratio, obtain user's chronic obstructive pulmonary disease judged result, according to the ratio of described forced vital capacity and first second forced expiratory volume and forced vital capacity, obtain user's ventilatory function obstacle judged result, it is normal that described judged result is divided into pulmonary ventilation function, vital capacity is low, ventilation defect, chronic obstructive pulmonary disease, it is low that described moving target reasoning element is chosen vital capacity, ventilation defect or chronic obstructive pulmonary disease are listed in the disease rank of respiratory system,

Described body balance performance monitor shakes speed according to the center comprising in self Fitness Testing form and judges, obtain user's static balancing ability, described static balancing ability is divided into that balanced capacity is normal, balanced capacity is outstanding, balanced capacity is poor, and described moving target reasoning element is chosen in the poor disease rank of listing neuromuscular system in of balanced capacity;

Described bone density tester judges according to the user's bone strength exponential sum T value comprising in self Fitness Testing form, obtain user's osteoporosis degree, described osteoporosis degree is divided into that sclerotin is normal, sclerotin reduces and osteoporosis, and described moving target reasoning element chooses that sclerotin reduces or osteoporosis is listed in the disease rank of skeletal system.

5. the moving target inference system based on multi-source information according to claim 1, is characterized in that,

Described locomitivity test module comprises aerobic endurance test instrument and muscle strength tester,

Described aerobic endurance tester judges according to the speed comprising in displacement testing journal sheet, the gradient, heart rate and met value, the grading of acquisition cardiorespiratory Endurance, the grading of described cardiorespiratory Endurance is divided into that cardiorespiratory Endurance is poor, cardiorespiratory Endurance is poor, cardiorespiratory Endurance is good and cardiorespiratory Endurance is excellent, and described moving target reasoning element is chosen in the poor Indexes Abnormality rank of listing the circulation system in of the poor or cardiorespiratory Endurance of cardiorespiratory Endurance;

Described muscle strength tester judges according to the peak power comprising in displacement testing journal sheet, the grading of acquisition muscle strength, the grading of described muscle strength is divided into that muscle strength is poor, muscle strength is poor, muscle strength is good and muscle strength is excellent, and described moving target reasoning element is chosen in the poor Indexes Abnormality rank of listing neuromuscular system in of the poor or muscle strength of muscle strength.