CN109637625B - Self-learning fitness plan generation system - Google Patents
Self-learning fitness plan generation system Download PDFInfo
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- CN109637625B CN109637625B CN201910092969.9A CN201910092969A CN109637625B CN 109637625 B CN109637625 B CN 109637625B CN 201910092969 A CN201910092969 A CN 201910092969A CN 109637625 B CN109637625 B CN 109637625B
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- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
Abstract
The invention relates to the technical field of fitness management, in particular to a self-learning fitness plan generating system, which comprises: the body measurement information acquisition terminal and the fitness auxiliary terminal; the body-building information acquisition terminal is used for acquiring user information about the body condition of a body-building user in real time and sending the acquired user information to the body-building auxiliary terminal, and the body-building auxiliary terminal displays the user information sent by the body-building information acquisition terminal for a body-building coach to check and then formulates training scheme information of the body-building user; the fitness auxiliary terminal is also used for adjusting the training scheme information of the fitness user by the fitness coach according to the user information updated in real time, meanwhile, the fitness auxiliary terminal analyzes the adjustment rule of the fitness coach for the training scheme information of the fitness user according to the user information, generates an automatic fitness plan adjustment model, and then automatically upgrades the plan generation algorithm according to the automatic fitness plan adjustment model, so that the accuracy of the fitness plan is more accurate.
Description
Technical Field
The invention relates to the technical field of fitness management, in particular to a self-learning fitness plan generating system.
Background
Along with the faster and faster pace of life, heavy work and life need healthy body to support, so that fitness activities are indispensable, more and more people select to go to a gymnasium to participate in fitness activities, and a fitness coach is requested to make a fitness plan according to the personal condition of a user, so that the user can conveniently achieve the fitness purpose.
However, in the process of body-building exercise of a user, along with the body change of the user, the body-building plan of the user needs to be adjusted at intervals, in the prior art, a body-building coach detects information such as the body fat content and the heart rate change of the user according to equipment such as a body side instrument and a heart rate detector, and then adjusts the body-building plan of the user according to the information, so that the amount of information which the body-building coach needs to remember is large, a body-building coach can have a plurality of users, and the adjustment of the body-building plan of each user needs to be adjusted by the body-building coach every time, and the work amount of the body-building coach is large.
In addition, if the fitness trainer does not pay attention to the physical changes of the user in time, the fitness trainer waits for the fitness plan to be modified, and the problem that the fitness plan is not modified in time can be caused.
Disclosure of Invention
The invention aims to provide a self-learning fitness plan generating system to solve the problem that a fitness plan of a fitness user cannot be updated in time when the fitness user exercises.
The basic scheme provided by the invention is as follows: a self-learning fitness plan generation system, comprising: the system comprises a fitness information acquisition terminal and a fitness auxiliary terminal; the body-building information acquisition terminal is used for acquiring user information about the body condition of a body-building user in real time and sending the acquired user information to the body-building auxiliary terminal, and the body-building auxiliary terminal displays the user information sent by the body-building information acquisition terminal for a body-building coach to check and then formulates training scheme information of the body-building user;
the fitness auxiliary terminal is also used for adjusting the training scheme information of the fitness user by the fitness coach according to the user information updated in real time, and meanwhile, the fitness auxiliary terminal analyzes the adjustment rule of the fitness coach aiming at the training scheme information of the fitness user according to the user information, generates a fitness plan automatic adjustment model and then automatically adjusts the training scheme information of the fitness user according to the fitness plan automatic adjustment model.
The invention has the advantages that: in the scheme, the fitness coach only needs to make the training scheme information of the fitness user in the earlier stage and adjust the training scheme information in the earlier stage, then the fitness auxiliary terminal can automatically analyze the adjustment rule of the fitness coach for the fitness plan of the fitness user according to the user information acquired by the fitness information acquisition terminal, generate an automatic fitness plan adjustment model, then automatically adjust the training scheme information of the fitness user according to the automatic fitness plan adjustment model, the training scheme information of the fitness user does not need to be adjusted by the fitness coach personally, compared with the prior art, the time of the fitness coach is saved by the scheme, and meanwhile, the problem that the fitness coach cannot adjust the training scheme information of the fitness user timely is avoided.
Further, the user information comprises body composition information of the fitness user and heart rate change information in the exercise process.
According to the scheme, the body composition information and the heart rate change information of the fitness users are collected, and the fitness coaches can modify the training scheme information of the users conveniently after analyzing the fitness effects of the fitness users.
Further, the user information further includes information on the user's pressure resistance and information on the judgment of the degree of action standard.
The compression resistance information of the user is detected in the scheme, so that the fitness coach can know what exercise intensity the training scheme information should be set to can be accepted by the fitness user, namely, the situation that the set exercise intensity is too large to lead the fitness user to insist on is avoided, and meanwhile, the situation that the set exercise intensity is too small to meet the requirement of the fitness user is also avoided. In addition, the action standard degree judgment information of the fitness user is detected, so that the fitness user or a fitness coach can know whether the fitness action of the fitness user is standard conveniently, and meanwhile, the fitness auxiliary terminal can adjust the training scheme information of the fitness user according to the action standard degree judgment information of the fitness user conveniently.
Further, the adjustment rule includes the interval time for the fitness coach to modify the training scheme information and the body fat content variation value and the exercise heart rate variation difference value of the fitness user in the interval time, and the adjustment rule further includes the exercise amount variation of the fitness coach for the user when the training scheme information of the fitness user is adjusted every time.
The fitness auxiliary terminal generates a fitness plan automatic adjustment model according to an adjustment rule, and the adjustment rule comprises the interval time for modifying the training scheme information of the fitness user, so that the fitness auxiliary terminal can conveniently analyze how long the exercise scheme information is suitable for carrying out adjustment on the training scheme information of the user; the adjustment rule comprises a body fat content change value and a exercise heart rate change value of the fitness user between two times of training scheme information adjustment, so that the fitness terminal can analyze the fitness effect of the fitness user conveniently; the adjustment rule comprises the variation of the exercise amount when the exercise coach adjusts the exercise scheme information of the exercise user every time, so that the exercise auxiliary terminal can analyze the exercise amount suitable for increasing or decreasing of the exercise user.
Further, the fitness auxiliary terminal comprises a data storage module, the data storage module is used for storing the training scheme information of the fitness users, and a storage unit is respectively established for each fitness user to store the training scheme information of the fitness user.
The fitness information of each fitness user is stored respectively, so that the training scheme information of each fitness user can be recorded conveniently.
Further, the training scheme information is stored according to the formulation or adjustment time of the training scheme information.
The training scheme information of the fitness users is stored according to time sequence, so that the adjustment condition of the training scheme information in each time period can be conveniently known in the later period.
Drawings
Fig. 1 is a logic structure block diagram of a self-learning exercise plan generation system according to an embodiment of the present invention.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
As shown in FIG. 1, the self-learning exercise program generation system includes: body-building auxiliary terminal and body-building information acquisition terminal carry out network communication through wireless communication module between body-building information acquisition terminal and the body-building auxiliary terminal, and wireless communication module chooses for use the WIFI communication module of current Risym brand.
The body-building information acquisition terminal is used for acquiring user information of a body-building user and sending the acquired user information to the body-building auxiliary terminal. The user information includes: constitution basic information, heart rate change information, gene information, medical history, psychological bearing capacity, action standard degree judgment information and the like. User information's collection equipment includes physical fitness tester, rhythm of the heart bracelet and panel computer etc, and the physical fitness tester is used for detecting user's physique basic information, and physique basic information includes user's height, weight, grip, user's health composition, vital capacity and hand muscle strength etc. and user's health composition (being called user's health composition information) includes muscle content, moisture content and Body fat rate etc. and the physical fitness tester can select for use current Body GS6.5 model. The existing Roruite brand is selected for use to the rhythm of the heart bracelet, and the rhythm of the heart bracelet is used for wearing on the body of the body-building user, is convenient for detect the rhythm of the heart change information of the body-building user in the body-building process. The tablet personal computer is internally provided with a psychological detection test question, so that the psychological bearing capacity of a user can be analyzed conveniently, and the fitness plan with the strength can be made easily, and the fitness user acceptance is high; meanwhile, the tablet personal computer is also used for the fitness coach to input judgment information of whether various fitness actions of the fitness user are standard or not.
When the fitness information acquisition terminal acquires the medical record information of the fitness user, the medical record information is acquired from the fitness user or is cooperated with the hospital after the consent of the fitness user, and is acquired from a database of medical record information stored in the hospital. For the acquisition of gene information, a fitness user is required to provide saliva for carrying out 23 magic cube gene detection, and the dietary metabolic capacity, the exercise injury possibility, the recovery capacity, the dietary gene, the exercise feedback and the like of the fitness user are acquired. Dietary metabolic capacity includes: carbohydrate metabolism, fat metabolism, protein metabolism, and basal metabolism. The possibility of athletic injury includes: the likelihood of rotator cuff injury, the likelihood of achilles tendon injury, and the likelihood of ligament injury. Dietary genes include: high caloric dietary preference, impact of carbohydrate intake and impact of saturated fat intake.
The fitness auxiliary terminal is provided with a plan input module, a plan adjustment information input module, a plan automatic adjustment learning module, a data storage module, a sign-in module and a fitness user feedback module.
And the sign-in module is used for carrying out sign-in recording when the fitness user starts and ends fitness and then generating a user fitness recording list of the fitness user.
The body-building user feedback module is used for performing feedback input on the body-building condition of the body-building user, when the body-building user feeds back the body-building condition of the body-building user, the body-building user is filled according to the body condition of the body-building user when the body-building user executes the training scheme information, for example, the user feels difficult, proper or relaxed when the user completes the task amount in the training scheme information, and then the feedback information filled in by the body-building user is generated into the body-building user feedback information.
The data storage module is used for storing training scheme information of the fitness users, a plurality of storage units are arranged in the data storage module, and the training scheme information of each fitness user is independently stored in the same storage unit. And when the data storage module stores the training scheme information of the fitness user, the training scheme information is stored in sequence according to the generation time of the training scheme information, and the storage time is marked. In addition, when the training scheme information of the fitness user is stored, the user information of the fitness user and the training scheme information are stored together, namely, the user information and the training scheme information are stored according to the time correspondence relationship. The training scenario information includes: and (4) planning the movement.
The plan input module is used for inputting exercise scheme information of the fitness users after planning and making initial fitness users or coaches of the fitness users according to user information, fitness user feedback information and a user fitness record table, wherein the user information, the fitness user feedback information and the user fitness record table are collected by the fitness information collection terminal, and the exercise scheme information of each fitness user is stored in a storage unit corresponding to the fitness user after the exercise scheme information is input. When the fitness coach formulates a fitness plan, the fitness coach can also be used as a reference item for formulating the fitness plan according to the age, the body shape and the body form of a fitness user, the fitness action completion degree, the fitness action stability and the joint flexibility of a fitness user and the like. The fitness system monitors the body form and the posture of a fitness user, and is convenient for a fitness coach to make a fitness plan for each part of the fitness user in a targeted manner, for example, if the upper body of the fitness user has a high fat content (the user looks fat or is tested by a physical fitness tester), the upper body of the fitness user needs to be made into the fitness plan in a targeted manner in order to coordinate the body of the fitness user.
And the plan adjustment information input module is used for adjusting and modifying the training scheme information of the fitness user by the fitness coach according to the user information acquired by the fitness information acquisition terminal, and storing the modified and adjusted training scheme information in a storage unit corresponding to the fitness user for storage.
The plan automatic adjustment learning module is used for analyzing an adjustment rule of a fitness coach for a fitness plan of a fitness user according to user information, a user fitness record table and fitness user feedback information acquired by the fitness information acquisition terminal, automatically generating an automatic fitness plan adjustment model according to the adjustment rule and an existing SPFT fitness training model, automatically adjusting training scheme information of the fitness user according to the automatic fitness plan adjustment model, and storing the training scheme information generated by automatic adjustment into a storage unit corresponding to the fitness user. The regulation rule comprises the following steps: 1. the fitness coach modifies the interval time of the training scheme information of the same fitness user; 2. when the body-building coach modifies the training scheme information of the body-building user, the body fat content variation value and the exercise heart rate variation difference value of the body-building user are compared with the previous training scheme information modification or training scheme information formulation; 3. the exercise amount of the fitness user is increased or decreased when the fitness coach adjusts the training scheme information of the fitness user each time; 4. when the exercise recording table records that the exercise user does not continuously execute the training scheme information, the task completion amount in the training scheme information of the exercise user is reduced, the longer the exercise user interrupts the execution of the training scheme information, the more the task completion amount is reduced, namely, the exercise user terminal executes the training scheme information time and the task completion amount after the exercise user terminal is in an inverse proportion relation.
The specific implementation process is as follows:
s1, collecting user information of a fitness user, wherein the user information comprises: constitution basic information, heart rate change information, gene information, medical history, psychological bearing capacity, fitness action standard degree judgment information and the like.
S2: and a plan input module in the fitness auxiliary terminal receives the user information sent by the fitness information acquisition terminal and then displays the user information for a fitness coach to check, and the fitness coach checks and makes a fitness plan of the fitness user and then inputs the fitness plan of the fitness user through the plan input module.
S3: after the fitness user performs fitness activities for a period of time according to the previously formulated training scheme information, the fitness coach adjusts and modifies the training scheme information of the fitness user on the plan adjustment information input module according to the user information acquired by the fitness information acquisition terminal.
S4: the automatic adjustment learning module analyzes the adjustment rule of the fitness coach for the fitness plan of the fitness user according to the user information, the feedback information of the fitness user and the fitness record table of the user, which are acquired by the fitness information acquisition terminal, automatically generates an automatic adjustment model of the fitness plan according to the adjustment rule, automatically adjusts the training scheme information of the fitness user according to the automatic adjustment model of the fitness plan, and stores the training scheme information generated by automatic adjustment into the storage unit corresponding to the fitness user.
Example two
The difference between the second embodiment and the first embodiment is that the exercise information acquisition terminal in the second embodiment further includes: the infrared temperature sensor is in line connection with the automatic plan adjustment learning module and is used for detecting body temperature change conditions of fitness users on the fitness equipment, then the detected body temperature change conditions of the fitness users are sent to the automatic plan adjustment learning module, and then the automatic plan adjustment learning module judges body temperature change according to signals fed back by the infrared temperature sensor. During specific implementation, the infrared temperature sensor is installed on the fitness equipment, the existing MIK-AL-10 type infrared temperature sensor is selected as the infrared temperature sensor, and the existing temperature and humidity recorder of the kernel brand is selected as the room temperature detection sensor.
In addition, the plan automatic adjustment learning module in this embodiment is connected to a room temperature detection sensor for detecting an ambient temperature and a camera for detecting and shooting a motion image of the fitness user, and is further configured to receive a signal sent by the infrared temperature sensor, and then determine whether the fitness user is in an effective exercise state according to the signal sent by the infrared temperature sensor, so as to adjust the amount of exercise of the fitness user. The exercise device comprises a body building user, a control module and a display module, wherein the body building user is defined as an effective exercise state when the user can complete a complete body building action, and the body building user is judged to be in an ineffective exercise state when the user is exhausted and cannot continue to complete body building. The judgment of whether the fitness user is in the effective exercise state is to shoot the video of the fitness user during exercise through the camera, judge the frequency of the fitness user during exercise according to the shot video, and judge whether the fitness user is in the effective exercise according to the frequency of the fitness user during exercise. When the body-building action frequency of a body-building user is judged, images for body-building action are collected through a camera, a moving user target is extracted through a Gaussian mixture model detection method, the angular point characteristics of the user target are detected through a Harris algorithm, the traditional normalized cross-correlation matching method is improved, the moving position and NCC matching are combined, a matching area search strategy is optimized to realize fast and accurate initial matching of the angular points of the target user, and further accurate angular point matching is carried out through a SAC RANE algorithm to obtain correct matching angular points. And finally, carrying out coordinate conversion by using a single-view measurement method to realize the detection of the body-building action frequency of the user. During specific implementation, when the fitness user performs fitness action, the fitness user performs the fitness action according to a fixed frequency initially, but when the fitness user is exhausted, the action frequency of the fitness user is uncontrollably slowed until the fitness user cannot act, and at the moment, the fitness user is in an invalid motion state, namely, the fitness user is judged to be in the invalid motion state when the fitness user tends to zero. When the fitness user is in the invalid exercise state, if the fitness user does not reach the fitness plan, the fitness plan may need to perform an adjustment action of reducing the amount of exercise.
When judging whether a fitness user is in effective exercise according to the infrared temperature sensor, firstly, recording exercise information when the fitness user exercises on one fitness equipment for the first time, wherein the exercise information record comprises exercise environment temperature information of the fitness user, the name of the fitness equipment used by the fitness user and change information of the body temperature of the fitness user along with exercise time.
When the exercise information is recorded, the name of the exercise equipment (such as a sitting posture chest clip) used by the exercise user is recorded, and then the body temperature change of the exercise user when the exercise user first exercises on the type of exercise equipment is recorded (the body temperature is 37 ℃ in a normal state through detection of an infrared temperature sensor, and the body temperature of the exercise user is continuously increased when the exercise user exercises).
When the body temperature change of the fitness user is detected, firstly, the environment temperature of the place where the fitness user performs fitness exercise is detected, then the difference value between the environment temperature and the initial human body temperature is judged, when the environment temperature is lower than 15 ℃, the environment temperature is lower, pores of a human body shrink, the human body heat dissipation condition is not good, and when the fitness user performs fitness exercise, the body temperature change of the fitness user is judged to be mainly caused by exercise; when the environmental temperature is 15-30 ℃, pores of a human body are opened, the body heat dissipation condition of a body-building user is better when the body-building user exercises, and the body-building user is judged to be caused by exercise when the body-building user exercises; when the environmental temperature is higher than 30 ℃, the body temperature of the body-building user is judged to be caused by environmental factors when the body-building user performs body-building exercises. Secondly, after the environment temperature is detected, the change information of the body temperature along with the movement time in the body building process of the human body is detected, the body temperature rise rate of the body building user during movement is counted, when the body temperature of the body building user rises to 40 ℃, if the body building environment temperature of the body building user is higher than 30 ℃, the body building user or a body building coach is reminded to pay attention to the ventilation and cooling conditions of the body building environment (such as voice reminding), when the body building environment temperature of the body building user is 15-30 ℃, the weight of the body building user during body building is reduced, and when the body building environment temperature of the body building user is below 15 ℃, the body building user is reminded to reach the limit movement and stop the movement.
In specific implementation, the normal temperature of the human body is 37 ℃, the temperature of the human body is continuously increased in the exercise process, but when the temperature of the human body is increased to 42 ℃, human tissues are necrotized due to protein solidification, so that the body-building user needs to pay attention to the temperature reduction when the temperature of the human body reaches 42 ℃ in the exercise process, and at the moment, the body-building user is not suitable for continuing to exercise and the exercise amount needs to be reduced. However, when the temperature of the human body rises to 42 ℃, the temperature of the environment where the human body is subjected to body-building exercises can be affected, such as: in winter, the body temperature of the fitness user is increased to 40 ℃ after the fitness user does not exercise for a long time and does not exercise for a long time in summer, but the body temperature of the fitness user is increased to 40 ℃ before the fitness user does exercise for a long time in summer, so that the fitness user can continue to exercise only by turning on the air conditioner to change the temperature of the fitness environment. Therefore, the body-building environmental temperature of the body-building user is detected in the scheme and is used as a standard for judging whether the body-building user achieves extreme sports, and when the body-building user achieves the extreme sports, the plan automatic adjustment learning module automatically adjusts the load weight on the body-building equipment (such as reducing the weight of a sitting posture chest clamp) so as to reduce the exercise amount of the body-building user and avoid the body temperature of the body-building user from being increased to 42 ℃ to influence the body health of the body-building user.
In addition, many fitness users are for reasons such as losing weight when building body, if the mind of their motion is too urgent, may still persist in moving when feeling that they are not suitable for, and remind the fitness user to stop moving in this scheme and just can alert it.
Another implementation manner of this embodiment is to provide a buzzer beside the infrared temperature sensor, start timing after reminding the fitness user to stop moving, and send an alarm to the fitness trainer through the buzzer if the body temperature of the fitness user still does not change or continuously increases within ten minutes, so as to remind the fitness trainer to prevent the fitness user from continuing to move.
EXAMPLE III
The third embodiment is different from the second embodiment in that, in order to avoid that the exercise user is erroneously determined as the invalid exercise when the exercise user wants to stop exercising during the exercise process, for example, when the exercise user wants to stop the exercise or the exercise user wants to stop the exercise, it is determined that the exercise action frequency of the exercise user is equal to zero, and at this time, the exercise user may be determined as the invalid exercise, and if the exercise plan is adjusted at this time, the problem that the exercise plan is not matched with the exercise user later may occur. Therefore, the body-building auxiliary terminal machine in the scheme is also provided with a judging module.
The judging module is used for judging whether the fitness user is in an invalid movement state according to the previous fitness plan of the fitness user when the fitness action frequency of the fitness user is zero. In the specific judgment, the previous fitness plan of the fitness user is checked, the exercise amount and the exercise time of the fitness user in the latest fitness plan are determined, then the difference between the exercise time and the current time is calculated (called the fitness time difference, the time difference is calculated in a unit of day, and the calculation is only carried out when the difference time is greater than 12 h), and then the fitness plan of the fitness user is adjusted according to the difference. When the difference value of the fitness time of the fitness user is smaller but the current amount of the finished fitness exercise is smaller, the fitness user is judged to be the end of the fitness exercise or the end of the fitness exercise, the fitness plan is not adjusted, for example, the fitness user suddenly and emergently needs to leave in the middle of the fitness exercise, the amount of exercise in the fitness plan corresponding to the fitness user is only half completed, the difference between the amount of the finished exercise and the amount of the exercise of the fitness plan is larger, the fitness user cannot be judged to be in an invalid exercise state at this moment, and therefore the fitness plan cannot be adjusted.
During specific implementation, whether the fitness user is in an effective exercise state or not is judged according to the fitness time difference and the difference between the exercise amount of the fitness user and the exercise amount of the previous fitness plan in the scheme, so that the fitness plan is adjusted, and the situation that the fitness user is in an ineffective exercise state and adjusts the fitness plan when the fitness user stops fitness exercise or stops fitness exercise is avoided.
The foregoing are embodiments of the present invention and are not intended to limit the scope of the invention to the particular forms set forth in the specification, which are set forth in the claims below, but rather are to be construed as the full breadth and scope of the claims, as defined by the appended claims, as defined in the appended claims, in order to provide a thorough understanding of the present invention. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (6)
1. The self-learning fitness plan generation system is characterized in that: the method comprises the following steps: the system comprises a fitness information acquisition terminal and a fitness auxiliary terminal; the fitness information acquisition terminal is used for acquiring user information about the physical condition of a fitness user in real time and sending the acquired user information to the fitness auxiliary terminal, and the fitness auxiliary terminal displays the user information sent by the fitness information acquisition terminal for a fitness coach to check and then formulates training scheme information of the fitness user;
the fitness auxiliary terminal is also used for adjusting the training scheme information of the fitness user by the fitness coach according to the user information updated in real time, meanwhile, the fitness auxiliary terminal analyzes the adjustment rule of the fitness coach aiming at the training scheme information of the fitness user according to the user information, generates an automatic fitness plan adjustment model and then automatically adjusts the training scheme information of the fitness user according to the automatic fitness plan adjustment model.
2. The self-learning exercise program generation system of claim 1, wherein: the user information comprises body composition information of the fitness user and heart rate change information in the exercise process.
3. The self-learning fitness plan generating system of claim 2, wherein: the user information also comprises the information of the pressure resistance of the user and the judgment information of the action standard degree.
4. The self-learning fitness plan generating system of claim 1, wherein: the adjustment rule comprises the interval time for the fitness coach to modify the training scheme information and the variation value of the body composition of the fitness user and the variation difference value of the exercise heart rate in the interval time, and the adjustment rule further comprises the variation value of the exercise amount of the fitness coach when the training scheme information of the fitness user is adjusted every time.
5. The self-learning fitness plan generating system of any one of claims 1-4, wherein: the fitness auxiliary terminal comprises a data storage module, wherein the data storage module is used for storing training scheme information of fitness users, and a storage unit is respectively established for each fitness user to store the training scheme information of the fitness user.
6. The self-learning fitness plan generating system of claim 5, wherein: and when the training scheme information is stored, the training scheme information is stored according to the formulation or adjustment time.
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| CN110934716B (en) * | 2019-11-27 | 2022-08-23 | 湘南学院附属医院 | Combined type department of neurology numbness of lower limbs recovery system |
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| CN113643787A (en) * | 2020-04-27 | 2021-11-12 | 华为技术有限公司 | Fitness course pushing method and device |
| CN111785347A (en) * | 2020-06-30 | 2020-10-16 | 重庆勤鸟圈科技有限公司 | Fitness recommendation system and method based on motion record |
| CN112509667B (en) * | 2020-12-02 | 2024-04-02 | 深圳市子瑜杰恩科技有限公司 | Exercise control method and related device |
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| CN113641856A (en) * | 2021-08-12 | 2021-11-12 | 三星电子（中国）研发中心 | Method and apparatus for outputting information |
| CN114376543B (en) * | 2022-03-21 | 2022-12-16 | 北京康爱医疗科技股份有限公司 | Method and system for adjusting motion combination scheme based on heart rate and motion feedback |
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| CN104510533A (en) * | 2013-09-28 | 2015-04-15 | 南京专创知识产权服务有限公司 | Method for acquiring health information for user by motion sensing clothes technology |
| CN107710327A (en) * | 2016-06-22 | 2018-02-16 | 深圳市屹石科技股份有限公司 | Method of servicing, system, user terminal and coach end and the processing method of body-building are taught in private |
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