Motion health data acquisition management prescription based on artificial intelligence, and terminal service system

A technology of exercise prescription and health data, applied in sports accessories, physical therapy or behavior, medical science, etc., can solve problems such as limited fitness effects, sports injuries, and lack of interactive functions

Inactive Publication Date: 2019-07-12
深圳市中银科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Since each person is in a different age group, has a different physical constitution, and has a different purpose of exercising, the process of fitness should vary from person to person. If you cannot scientifically prepare exercise items and exercise intensity and exercise blindly, not only The fitness effect is limited, and there may be a risk of sports injuries
[0004] In order to formulate personalized exercise prescriptions for health guidance, it is necessary to fully and accurately understand the physical condition of the physical exercisers. The current exercise prescription management system only analyzes the user's health status from the user's exercise itself to formulate exercise prescriptions, with a single consideration factor and a service terminal. It is also limited to single-item push and lacks interactive functions, but factors that affect the user's exercise prescription include the user's own physical fitness, living environment and other factors

Method used

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  • Motion health data acquisition management prescription based on artificial intelligence, and terminal service system
  • Motion health data acquisition management prescription based on artificial intelligence, and terminal service system
  • Motion health data acquisition management prescription based on artificial intelligence, and terminal service system

Examples

Experimental program
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Effect test

Embodiment 1

[0047] In some application scenarios, take a 12-year-old classmate A as an example. The temperature meter and humidity meter in class A’s classroom show that the classroom temperature is 18°C ​​and the humidity is 25. It is 3cm, the grip strength is 150N, the lung capacity is 1800ml, and the wristband shows the heart rate data of 65 beats per minute.

[0048] Furthermore, in the pre-stored exercise prescription model of the S151 system, the normal humidity for a 12-year-old boy at 18°C ​​is 30-35, the height difference is <1cm, the grip strength is 200-300N, the lung capacity is 2000-3000ml, and the heart rate is 70-90 beats per minute. S151 The system pre-stores the exercise prescription model.

[0049] Further, the S160 exercise program production module, based on the comparison with the pre-stored exercise prescription model data in the S151 system, outputs: Student A's environment is dry - needs to drink more water, may suffer from slanted shoulders - needs to strengthen t...

Embodiment 2

[0051] According to the above embodiment, the S150 update module re-inputs new data into the S140 background data analysis module to regenerate a new exercise prescription by periodically collecting the above-mentioned health index parameters, until the collected data is stable, and after 5 minutes of cyclic collection and calculation, It shows that the average grip strength of student A is 230N, and the heart rate is 74 beats per minute.

[0052] Further, the above-mentioned S150 update module outputs the final exercise prescription: Class A is in a dry environment - needs to drink more water, may suffer from sloping shoulders - needs to strengthen the bone exercise of the higher end of the left arm, and has low lung capacity - needs to strengthen running and swimming Exercise such as improving breathing function. Cyclic collection and screening of data can lead to more accurate exercise prescriptions.

[0053] Further, the S170 sports prescription management AI module will ...

Embodiment 3

[0055] According to the second embodiment above, the S170 exercise prescription management AI module sends the above-mentioned personalized exercise prescription of classmate A to the individual such as WeChat, QQ, APP or smart class card public terminal, treadmill, etc. in the smart terminal of classmate A or his parents. sports terminal.

[0056] Further, student A sets the system cycle to one month, then the above-mentioned S170 exercise prescription management AI will also send student A’s personalized exercise prescription this time, and will also send the personalized exercise prescription at this time last month. And output the ring-to-ring results: Student A's vital capacity parameter has increased by 10% compared with last month, which is almost close to the normal level; the height difference between the two shoulders is 3cm, which is 2cm higher than last month, and it is necessary to strengthen the bone exercise of the higher end of the left arm .

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Abstract

The invention belongs to the field of an artificial intelligence motion health management system, and particularly relates to a motion health data acquisition management prescription based on artificial intelligence, and a terminal service system. According to the motion health data acquisition management prescription, parameters at three aspects of environment, motion and physique of a user object are acquired through a data acquisition module; a background data analysis module performs automatic analysis on the acquired parameter data at three aspects of the user; a personalized motion prescription is generated through a motion plan generating module; and motion prescription management AI pushes the personalized motion prescription to a personal terminal in real time. The motion health data acquisition management prescription settles problems of single reference condition, incomprehensive data and incapability of effectively guiding body building of the user in the personalized motion prescription, and furthermore can supply a personalized terminal service. Through analyzing and quantifying more factors of different physique testing persons, a true and more effective personalizedscientific motion prescription can be generated. Optimization, analysis and information feedback are performed on the system through artificial intelligence technology, thereby improving interactionexperience between the user and the system.

Description

technical field [0001] The invention belongs to the field of artificial intelligence sports health management system, in particular to an artificial intelligence-based sports health data collection and management prescription and terminal service system. Background technique [0002] The concept of exercise prescription was first proposed by American physiologist Karpovich in the 1950s. Since the 1960s, with the development of rehabilitation medicine and the development of rehabilitation training for coronary heart disease, exercise prescriptions have begun to receive attention. The complete concept of exercise prescription is: rehabilitation physician or physical therapist, according to the medical examination data (including exercise test and physical strength test), according to the health, physical strength and cardiovascular function status of the person or patient who is engaged in physical exercise, in the form of prescription Specify the type of exercise, exercise i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/30A61B5/01A61B5/0205A61B5/107A61B5/145A61B5/22
CPCG16H20/30A61B5/02055A61B5/145A61B5/01A61B5/224A61B5/1077A61B2560/0242
Inventor 饶旭东
Owner 深圳市中银科技有限公司
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