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Design of the Physical Fitness Evaluation Information Management System of Sports Athletes Based on Artificial Intelligence
With the rapid development of science and technology in recent years, more and more researchers began to explore the basic disciplines of sports, namely, biomechanics and physiology, and further update and improve the traditional sports training theory. However, the developed countries, i.e., Europe...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262471/ https://www.ncbi.nlm.nih.gov/pubmed/35814574 http://dx.doi.org/10.1155/2022/1925757 |
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author | Liu, Haobo Zhu, Xiaoyun |
author_facet | Liu, Haobo Zhu, Xiaoyun |
author_sort | Liu, Haobo |
collection | PubMed |
description | With the rapid development of science and technology in recent years, more and more researchers began to explore the basic disciplines of sports, namely, biomechanics and physiology, and further update and improve the traditional sports training theory. However, the developed countries, i.e., Europe and the United States, have dedicatedly worked on the effective role of physical training particularly in middle-class farmers in sports powers. They have realized that the continuous improvement of the physical training evaluation system is directly related to the reforming in the evaluation and monitoring methods of physical training. At the same time, there is a demand for athletes' physical fitness evaluation, which requires a large amount of data support during the evaluation. These data collection and analysis are difficult and consume a lot of manpower. Therefore, this paper uses artificial intelligence technology to design the sports athletes' physical fitness evaluation information management system to improve the comprehensiveness of system data collection and the accuracy of data analysis. Through the physical attenuation calculation and physical analysis of the system developed in this paper, data accuracy is high. The coach can make a training plan according to the physical consumption of athletes in sports training or competition, which can greatly improve the ability of athletes. |
format | Online Article Text |
id | pubmed-9262471 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92624712022-07-08 Design of the Physical Fitness Evaluation Information Management System of Sports Athletes Based on Artificial Intelligence Liu, Haobo Zhu, Xiaoyun Comput Intell Neurosci Research Article With the rapid development of science and technology in recent years, more and more researchers began to explore the basic disciplines of sports, namely, biomechanics and physiology, and further update and improve the traditional sports training theory. However, the developed countries, i.e., Europe and the United States, have dedicatedly worked on the effective role of physical training particularly in middle-class farmers in sports powers. They have realized that the continuous improvement of the physical training evaluation system is directly related to the reforming in the evaluation and monitoring methods of physical training. At the same time, there is a demand for athletes' physical fitness evaluation, which requires a large amount of data support during the evaluation. These data collection and analysis are difficult and consume a lot of manpower. Therefore, this paper uses artificial intelligence technology to design the sports athletes' physical fitness evaluation information management system to improve the comprehensiveness of system data collection and the accuracy of data analysis. Through the physical attenuation calculation and physical analysis of the system developed in this paper, data accuracy is high. The coach can make a training plan according to the physical consumption of athletes in sports training or competition, which can greatly improve the ability of athletes. Hindawi 2022-06-30 /pmc/articles/PMC9262471/ /pubmed/35814574 http://dx.doi.org/10.1155/2022/1925757 Text en Copyright © 2022 Haobo Liu and Xiaoyun Zhu. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liu, Haobo Zhu, Xiaoyun Design of the Physical Fitness Evaluation Information Management System of Sports Athletes Based on Artificial Intelligence |
title | Design of the Physical Fitness Evaluation Information Management System of Sports Athletes Based on Artificial Intelligence |
title_full | Design of the Physical Fitness Evaluation Information Management System of Sports Athletes Based on Artificial Intelligence |
title_fullStr | Design of the Physical Fitness Evaluation Information Management System of Sports Athletes Based on Artificial Intelligence |
title_full_unstemmed | Design of the Physical Fitness Evaluation Information Management System of Sports Athletes Based on Artificial Intelligence |
title_short | Design of the Physical Fitness Evaluation Information Management System of Sports Athletes Based on Artificial Intelligence |
title_sort | design of the physical fitness evaluation information management system of sports athletes based on artificial intelligence |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262471/ https://www.ncbi.nlm.nih.gov/pubmed/35814574 http://dx.doi.org/10.1155/2022/1925757 |
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