Motion scheme generation method and system based on body measurement data

By obtaining student information and physical test data, setting scoring standards, scoring students' physical fitness, building a program library for exercise data, and outputting targeted exercise programs, the problem of difficulty in detecting students' physical weaknesses in existing technologies has been solved, and the effect of improving students' physical fitness in a targeted manner has been achieved.

CN120636680APending Publication Date: 2025-09-12SUZHOU JINGXI EDUCATION TECH CO LTD +1
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Patent Information

Application Number
CN202510623384.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-15
Publication Date
2025-09-12

AI Technical Summary

Technical Problem

Existing technologies make it difficult to detect students' physical weaknesses and generate corresponding exercise plans.

Method used

By obtaining student information and physical test data, setting scoring standards, scoring students' physical fitness, building a program library for exercise data, and outputting targeted exercise programs.

Benefits of technology

It realizes the generation of exercise plans to improve students' physical fitness based on the analysis of students' physical test data. It is interesting and suitable for school and home environments.

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Abstract

The invention relates to the field of exercise scheme recommendation, in particular to an exercise scheme generation method and system based on body measurement data. According to the physical test data analysis of the student, each physical quality of the student can be scored according to the current standard, the weakest physical quality of the student can be analyzed according to the score, and a plurality of pieces of corresponding exercise data can be given according to the preset database, so that the student can learn and exercise conveniently, and the student experience is improved. The physical quality of students can be improved in a more targeted mode, interestingness is achieved, exercise data are provided and divided into garden exercise and parent-child exercise, the garden exercise facilitates teaching of school teachers, and the parent-child exercise facilitates exercise of the students at home; the problem that weak items of student physique are difficult to detect and corresponding exercise schemes are difficult to generate in a targeted manner in the prior art is solved.
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Description

Technical Field

[0001] The present invention relates to the field of exercise plan recommendation, and in particular to a method and system for generating an exercise plan based on physical measurement data. Background Art

[0002] With the continuous growth of health management needs, the analysis of physical test data and the generation of personalized improvement plans have become important research directions in the field of health management. In students' school education, as students' learning pressure increases, their overall physical fitness gradually declines. Therefore, periodically generating corresponding exercise plans based on students' physical tests can help students maintain a good physical condition. Traditional physical tests and improvement plans have many problems, such as lack of personalization, lack of scientificity, and disconnection from actual scenarios. It is difficult to detect students' physical weaknesses and generate corresponding exercise plans in a targeted manner. Summary of the Invention

[0003] In response to the shortcomings of the existing technology, the present invention provides a method and system for generating an exercise plan based on physical test data, which solves the problem that the existing technology is difficult to detect the weak points of students' physical fitness and generate corresponding exercise plans in a targeted manner.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A method for generating an exercise plan based on body measurement data, the method specifically comprising the following steps:

[0006] S1. Obtain student information and corresponding physical test data;

[0007] S2. Set up scoring criteria and score students’ different physical qualities based on physical test data;

[0008] S3. Build a program library containing several sports data, each sports data corresponds to a different sports star rating, and each sports star rating corresponds to several physical quality scores;

[0009] S4. Output the sports star ratings corresponding to the lowest scores of the students' physical fitness, and output a number of sports data corresponding to the sports star ratings and physical fitness.

[0010] Preferably, the physical qualities include flexibility, lower limb strength, upper limb strength, balance, coordination and agility.

[0011] Preferably, the student information includes the student's name, gender and age, and the physical measurement data includes height, weight, heart rate, body fat percentage and physical measurement exercise video.

[0012] Preferably, in step S3, the following steps are specifically included:

[0013] S31. Setting a solution library containing a plurality of motion data;

[0014] S32, classifying the exercise data into kindergarten exercise and parent-child exercise;

[0015] S32. Correspond the sports data to different physical qualities, and set the sports star level of the sports data under each physical quality attribute.

[0016] Preferably, the motion data includes motion description text, motion video and motion star rating.

[0017] Preferably, the outputted exercise data includes several kindergarten exercises and parent-child exercises.

[0018] The technical solution also provides a system for implementing a method for generating an exercise plan based on body measurement data. The system includes: a processor and a memory, the memory being used to store a computer program, and the computer program implementing the method for generating an exercise plan when executed by the processor.

[0019] Compared with the prior art, the present invention provides a method and system for generating an exercise plan based on body measurement data, which has the following beneficial effects:

[0020] 1. The present invention can analyze students' physical fitness data according to current standards, and analyze the students' weakest physical fitness based on the scores. It can also provide corresponding sports data based on a preset database, which is convenient for students to learn and exercise, so as to improve students' physical fitness in a more targeted and interesting way.

[0021] 2. When providing exercise data, the present invention is divided into kindergarten exercise and parent-child exercise. Kindergarten exercise is convenient for school teachers to teach, and parent-child exercise is convenient for students to exercise at home. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0023] Figure 1 This is a flow chart of a method for generating an exercise plan based on body measurement data according to the present invention;

[0024] Figure 2 Schematic diagram of the solution library of the present invention. DETAILED DESCRIPTION

[0025] To make the above-mentioned objectives, features, and advantages of the present invention more clearly understood, the present invention is further described below in detail with reference to the accompanying drawings and specific embodiments. This will enable a full understanding of how this application uses technical means to solve technical problems and achieve technical effects, and to implement the invention accordingly.

[0026] Those skilled in the art will appreciate that all or part of the steps in the following embodiments can be accomplished by instructing related hardware through a program. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0027] A method for generating an exercise plan based on body measurement data, the method specifically comprising the following steps:

[0028] S1. Obtain student information and corresponding physical test data. The student information includes the student's name, gender, and age, and the physical test data includes height, weight, heart rate, body fat percentage, and physical test exercise.

[0029] S2. Set scoring standards and score students' different physical qualities based on physical test data. The current scoring standards are the children's standards in the "National Physical Fitness Measurement Standards (Revised in 2023)". Physical fitness includes flexibility, lower limb strength, upper limb strength, balance, coordination and agility. Based on the physical test data of students during the physical test, physical test exercises are mainly used, and the influence of factors such as height, weight, heart rate and body fat rate are comprehensively considered to score students' various physical qualities. Under normal circumstances, a physical test is conducted once every three months, which is exactly one semester, and scoring and subsequent exercise plans are generated.

[0030] S3. Build a solution library containing several sports data. Each sports data corresponds to a different sports star rating. Each sports star rating corresponds to several physical fitness scores, such as Figure 2 The following is a schematic diagram of the interface of a solution library. The construction of the database includes the following steps:

[0031] S31. Setting a solution library containing a plurality of exercise data, wherein each exercise data includes an exercise description text, an exercise video, and an exercise star rating, and the exercise video is used to teach students the exercise method of the corresponding exercise;

[0032] S32. Classify the exercise data into kindergarten exercise and parent-child exercise. Kindergarten exercise can be implemented in school, and parent-child exercise is convenient for use at home.

[0033] S32. Correspond the sports data to different physical qualities, and set the sports star level of the sports data under each physical quality attribute.

[0034] S4. Output the sports star ratings corresponding to the lowest scores of the students' physical fitness, and output several sports data corresponding to the sports star ratings and physical fitness, thus obtaining a sports plan. The output sports data includes several kindergarten sports and parent-child sports. According to the standards in the "National Physical Fitness Measurement Standards (Revised in 2023)", different physical fitness test items can be scored based on performance and age group, with a full score of 100. After the scoring is completed, the two physical fitness test items with the lowest scores are generally selected. Since there is a correspondence between the physical fitness test items and physical fitness, solutions are selected from the physical fitness improvement solution library corresponding to the physical fitness, and several kindergarten sports and parent-child sports are selected respectively. Generally, when the physical fitness score is below 60, a one-star sports is recommended. When the score is 60-80, a two-star sports is recommended. When the score is 80-100, a three-star sports is recommended. For example, when the student's flexibility score is 100, a three-star sports is recommended, such as the school sport "back kick" and the family sport "pass the ball on the signal." The corresponding sports copy or video can be viewed by scanning the QR code.

[0035] Corresponding to the motion plan generation method provided in the above embodiment, this embodiment also provides a system for implementing the motion plan generation method. Since the motion plan generation system provided in this embodiment corresponds to the motion plan generation method provided in the above embodiment, the implementation method of the aforementioned motion plan generation method is also applicable to the motion plan generation system provided in this embodiment and will not be described in detail in this embodiment.

[0036] The system comprises a processor and a memory, wherein the memory is used for storing a computer program, and the computer program realizes a motion scheme generating method when being executed by the processor.

[0037] The above embodiments provide a detailed introduction to the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core ideas. At the same time, for those skilled in the art, according to the ideas of the present invention, there may be changes in the specific implementation methods and application scopes. In summary, the contents of this specification should not be understood as limiting the present invention.

Claims

1. A method for generating an exercise plan based on body measurement data, characterized in that: The method specifically comprises the following steps: S1. Obtain student information and corresponding physical test data; S2. Set scoring criteria and score students’ different physical qualities based on physical test data; S3. Build a program library containing several sports data, each sports data corresponds to a different sports star rating, and each sports star rating corresponds to several physical quality scores; S4. Output the sports star ratings corresponding to the lowest scores of the students' physical fitness, and output a number of sports data corresponding to the sports star ratings and physical fitness.

2. The motion plan generation method according to claim 1, characterized in that: The physical qualities include flexibility, lower limb strength, upper limb strength, balance, coordination and agility.

3. The motion plan generation method according to claim 1, characterized in that: The student information includes the student's name, gender and age, and the physical measurement data includes height, weight, heart rate, body fat percentage and physical measurement exercise video.

4. The motion plan generation method according to claim 1, characterized in that: In step S3, the following steps are specifically included: S31. Setting a solution library containing a plurality of motion data; S32, classifying the exercise data into kindergarten exercise and parent-child exercise; S32. Correspond the sports data to different physical qualities, and set the sports star level of the sports data under each physical quality attribute.

5. The motion plan generation method according to claim 4, characterized in that: The sports data includes sports description text, sports video and sports star rating.

6. The motion plan generation method according to claim 4, characterized in that: The outputted exercise data includes several kindergarten exercises and parent-child exercises.

7. A system for implementing the motion plan generation method according to any one of claims 1 to 6, characterized in that: The apparatus comprises a processor and a memory, wherein the memory is used to store a computer program, and when the computer program is executed by the processor, the method for generating a motion plan according to any one of claims 1 to 6 is implemented.