数字化技术在运动员训练中的应用  

Application of Digital Technology in Athlete Training

作　　者：梁月红 李刚 陈帅杰 冯燕辉 程涛 Yuehong Liang;Gang Li;Shuaijie Chen;Yanhui Feng;Tao Cheng(School of Sports and Health Engineering,Hebei University of Engineering,Handan Hebei;School of Physical Education,Tianjin University of Sport,Tianjin;Department of Physical Education,Handan Polytechnic College,Handan Hebei)

机构地区：[1]河北工程大学体育与健康工程学院,河北邯郸2天津体育学院体育教育学院,天津3邯郸职业技术学院体育系,河北邯郸

出　　处：《体育科学进展》2024年第5期824-834,共11页Advances in Physical Sciences

基　　金：河北省体育局体育科技研究项目(2024JT22)。

摘　　要：研究的目的是探讨在数字化技术环境下,大数据、物联网以及人工智能在运动员训练中的适用性。本文综述了大数据技术、物联网以及人工智能在以下领域的应用现状:运动员健康监测、运动技巧分析、运动员训练计划和运动策略领域。首先,本文深入分析了数字技术在以上运动领域方向的应用,讨论了近年来数字技术的发展前沿。然后详细讨论了支持运动领域研究成果的相关技术,例如聚类分析、深度学习等,同时比较了这些学习方法的优势。最后,文章强调了未来的研究方向和新兴技术,这些对运动训练领域具有潜在的贡献。The purpose of this study is to explore the applicability of big data,the Internet of Things(IoT),and artificial intelligence(AI)in athlete training in the environment of digital technology.This paper reviews the status of the application of big data technology,IoT,and AI in the following areas:athlete health monitoring,sports skill analysis,athlete training programs,and sports strategy fields.Firstly,this paper deeply analyzes the application of digital technology in the aforementioned sports fields and discusses the cutting-edge developments of digital technology in recent years.It then discusses in detail the relevant technologies supporting the research achievements in the sports field,such as cluster analysis and deep learning,while comparing the advantages of these learning methods.Finally,the article emphasizes future research directions and emerging technologies that have potential contributions to the field of sports training.

关 键 词：数字化技术 机器学习 运动员训练 人工智能 深度学习 

分 类 号：G63[文化科学—教育学]