Teaching Platform for Physical Training of Track and Field Events in Colleges and Universities Based on Data Mining Technology

To a large extent, track and field sports require strong physical fitness of athletes, and athletes’ physical fitness determines their competition results. With the improvement of people’s living standards, athletes can get better nutritional supplements, but competition in track events has graduall...

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Main Authors: Ao Yu, Hyun Choul Cho, Yujue Chen, Xi Chen, Jie Wei, Yufang Feng
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Applied Bionics and Biomechanics
Online Access:http://dx.doi.org/10.1155/2022/3344972
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author Ao Yu
Hyun Choul Cho
Yujue Chen
Xi Chen
Jie Wei
Yufang Feng
author_facet Ao Yu
Hyun Choul Cho
Yujue Chen
Xi Chen
Jie Wei
Yufang Feng
author_sort Ao Yu
collection DOAJ
description To a large extent, track and field sports require strong physical fitness of athletes, and athletes’ physical fitness determines their competition results. With the improvement of people’s living standards, athletes can get better nutritional supplements, but competition in track events has gradually become fierce, and physical fitness is extremely important for athletes. Physical training can improve athletes’ endurance, sports coordination, and sensitivity, but coaches should arrange the training intensity reasonably, not exceeding the athlete’s tolerance, to avoid problems such as overloading training causing athletes to be injured and sports age shortened. Traditional track and field training methods are no longer suitable for the physical development of modern athletes. This paper mainly studies the college track and field sports training teaching platform based on data mining technology. By using data mining technology, this paper constructs a track and field training platform in colleges and universities. Therefore, this paper designs a teaching platform for physical training in track and field events and puts the teaching platform into training teaching. It uses data mining technology to collect athletes’ sports characteristics and analyze athletes. The physical parameters and movement norms of the people develop a personalized training program for them.
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institution Kabale University
issn 1754-2103
language English
publishDate 2022-01-01
publisher Wiley
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series Applied Bionics and Biomechanics
spelling doaj-art-7c097e3fb4794eb489bd169e68fd9e6e2025-08-20T03:35:44ZengWileyApplied Bionics and Biomechanics1754-21032022-01-01202210.1155/2022/3344972Teaching Platform for Physical Training of Track and Field Events in Colleges and Universities Based on Data Mining TechnologyAo Yu0Hyun Choul Cho1Yujue Chen2Xi Chen3Jie Wei4Yufang Feng5College of Physical EducationCollege of Physical EducationCsollege of Physical EducationCollege of Physical EducationElectronic Information Science and TechnologyComputer Graphics MajorTo a large extent, track and field sports require strong physical fitness of athletes, and athletes’ physical fitness determines their competition results. With the improvement of people’s living standards, athletes can get better nutritional supplements, but competition in track events has gradually become fierce, and physical fitness is extremely important for athletes. Physical training can improve athletes’ endurance, sports coordination, and sensitivity, but coaches should arrange the training intensity reasonably, not exceeding the athlete’s tolerance, to avoid problems such as overloading training causing athletes to be injured and sports age shortened. Traditional track and field training methods are no longer suitable for the physical development of modern athletes. This paper mainly studies the college track and field sports training teaching platform based on data mining technology. By using data mining technology, this paper constructs a track and field training platform in colleges and universities. Therefore, this paper designs a teaching platform for physical training in track and field events and puts the teaching platform into training teaching. It uses data mining technology to collect athletes’ sports characteristics and analyze athletes. The physical parameters and movement norms of the people develop a personalized training program for them.http://dx.doi.org/10.1155/2022/3344972
spellingShingle Ao Yu
Hyun Choul Cho
Yujue Chen
Xi Chen
Jie Wei
Yufang Feng
Teaching Platform for Physical Training of Track and Field Events in Colleges and Universities Based on Data Mining Technology
Applied Bionics and Biomechanics
title Teaching Platform for Physical Training of Track and Field Events in Colleges and Universities Based on Data Mining Technology
title_full Teaching Platform for Physical Training of Track and Field Events in Colleges and Universities Based on Data Mining Technology
title_fullStr Teaching Platform for Physical Training of Track and Field Events in Colleges and Universities Based on Data Mining Technology
title_full_unstemmed Teaching Platform for Physical Training of Track and Field Events in Colleges and Universities Based on Data Mining Technology
title_short Teaching Platform for Physical Training of Track and Field Events in Colleges and Universities Based on Data Mining Technology
title_sort teaching platform for physical training of track and field events in colleges and universities based on data mining technology
url http://dx.doi.org/10.1155/2022/3344972
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