人工智能技术在健康促进、运动能力提升和损伤预测等方面的研究进展  

Research Progress of Artificial Intelligence Technology in Health Promotion,Motor Ability Improvement and Injury Prediction

作　　者：季欣 杨子喆 马勇[1] 贾孟尧 刘林[1] Ji Xin;Yang Zizhe;Ma Yong;Jia Mengyao;Liu Lin(Hubei Engineering Research Center of Intelligent Equipment for Sports Health,Hubei Research Center of Sports Equipment Engineering Technology of Wuhan Sports University,Key Laboratory of Sports Engineering of the General Administration of Sport of China,Wuhan 430079,China)

机构地区：[1]运动健康智能装备湖北省工程研究中心,武汉体育学院湖北省运动装备工程技术研究中心,国家体育总局体育工程重点实验室,湖北武汉430079

出　　处：《体育科技文献通报》2023年第5期235-238,共4页Bulletin of Sport Science & Technology

基　　金：武汉体育学院东湖学者计划、武汉体育学院校级科研团队(项目编号:21KT02);武汉体育学院“十四五”湖北省优势特色学科(群)(项目编号:鄂教研(2021)5号)。

摘　　要：近年来,计算机视觉、大数据、机器学习、深度学习等技术被广泛应用到体育领域,人工智能技术应用已成为备受关注的热点问题。本文在系统回顾近年来国内外有关体育领域应用人工智能技术的相关研究基础上,总结人工智能在体育领域的应用情况,旨在探索符合我国体育发展要求的人工智能技术。结果表明:以机器学习与深度学习技术为基础,开发和完善针对不同体质人群的智能穿戴设备是当前的主要研究方向;体质健康促进、运动损伤预测和运动能力提升为热点研究领域;研究算法正逐渐从机器学习算法转向深度学习算法。In recent years,computer vision,big data,machine learning,deep learning and other technologies have been widely used in the field of sports,and the application of artificial intelligence(AI)technology has become a hot issue.This article presents a systematic review of relevant studies on the application of AI in sports both at home and abroad in recent years and gives a summary of the application of AI in the field of sports.The study aims to explore the AI technologies that meet the development demands of sports in China.Results show that(1)the present main research direction is to develop and improve intelligent wearable devices for different segments of population based on machine learning and deep learning technologies;(2)physical health promotion,sports injury prediction and motor ability improvement are popular research areas;and(3)research algorithms have gradually shifted from machine learning algorithms to deep learning algorithms.

关 键 词：机器学习 深度学习 大数据 体质健康 穿戴设备 

分 类 号：G80[文化科学—运动人体科学]