Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and system for predicting fatigue degree of athlete

A prediction method and prediction system technology, applied in neural learning methods, diagnostic recording/measurement, medical science, etc., can solve problems such as misjudgment easily

Pending Publication Date: 2019-11-08
THE ENG & TECHN COLLEGE OF CHENGDU UNIV OF TECH
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, although experienced coaches can use auxiliary equipment to obtain various physical indicators of athletes during exercise, and then judge whether athletes are overtrained or undertrained based on experience, but due to the strong subjectivity in the judgment, it is easy to cause misjudgment

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for predicting fatigue degree of athlete
  • Method and system for predicting fatigue degree of athlete
  • Method and system for predicting fatigue degree of athlete

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] Embodiments of the present invention provide a method for predicting athlete fatigue, such as figure 1 As shown, the method comprises the following steps:

[0035] Step S101: Obtain exercise information;

[0036] Here, the exercise information refers to the data of the athlete's physical response to long-term training and the training volume when the athlete is training.

[0037] Specifically, the exercise information includes one or more of sound feature information, heart rate, real-time acceleration, fall information, calorie consumption, degree of water shortage, and movement trajectory. Wherein, the sound characteristic information refers to the breathing change of the athlete during training, for example, the more intense the physical exertion of the athlete, the more rapid his breathing; the heart rate refers to the change of the heartbeat of the athlete during training, for example, the amount of exercise during training The bigger the heart rate is, the faste...

Embodiment 2

[0054] Embodiments of the present invention also provide a prediction system for athlete fatigue, such as figure 2 As shown, the system includes:

[0055] The acquisition module 1 is used to acquire the motion information; the processing module 2 is used to respectively perform a first calculation process and a second calculation process on the motion information to obtain a first data result A and a second data result B; a calculation module 3: used to calculate and obtain the fatigue data according to the formula: A*m+B*n=fatigue data; display module 4, used to send the fatigue data.

[0056] Here, the acquisition module 1 is used to acquire the motion information, which includes one or more of sound feature information, heart rate, real-time acceleration, fall information, calorie consumption, water shortage degree and motion track . Specifically, such as image 3 As shown, the acquisition module 1 can be a sensing element, specifically a recording element, an accelerat...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The embodiment of the invention discloses a method for predicting the fatigue degree of an athlete. The method comprises the steps: sports information is obtained; the sports information is subjectedto first calculation processing and second calculation processing, and a first data result A and a second data result B are obtained; and fatigue degree data are calculated according to the formula: A*m+B*n=the fatigue degree data, wherein m and n are both percentages, and the relation of m+n=100% is met. The embodiment of the invention further provides a system for predicting the fatigue degree of the athlete. The system comprises an obtaining module, a processing module, a calculation module and a display module. In this way, the sports information of the body of the athlete during trainingis obtained, then the sports information is subjected to data processing, and finally through weighting calculation, the accurate fatigue degree data of the athlete during training are obtained.

Description

technical field [0001] The invention relates to a method and system for predicting fatigue degree, in particular to a method and system for predicting athlete fatigue degree. Background technique [0002] During the training process of athletes, coaches need to know the fatigue of athletes in real time, so as to understand the physical state of athletes and arrange training plans. At present, although experienced coaches can use auxiliary equipment to obtain various physical indicators of athletes during exercise, and then judge whether athletes have been overtrained or undertrained empirically, but due to the strong subjectivity of the judgment, it is easy to cause misjudgment. Contents of the invention [0003] In order to solve the above technical problems, the embodiment of the present invention provides a method and system for predicting athlete fatigue, which can obtain various indicators of the athlete's body during exercise, and then perform data processing and cal...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0205A61B5/11G06N3/04G06N3/08
CPCA61B5/0205A61B5/11A61B5/1117A61B5/1112G06N3/049G06N3/08G06N3/045
Inventor 李湘文周玲张乐吴昊宇樊志轩钟伟雷真杨皓麟刘香伶杨家和周辅杰
Owner THE ENG & TECHN COLLEGE OF CHENGDU UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com