人工智能技术在运动损伤预防中的应用  

Application of artificial intelligence technology in the prevention of sports injury

作　　者：张博轩 周珂[2] 陶宽 Zhang Boxuan;Zhou Ke;Tao Kuan(School of Sports Engineering,Beijing Sport University,Beijing;School of Physical Education,Henan University,Zhengzhou,Henan)

机构地区：[1]北京体育大学体育工程学院,北京 [2]河南大学体育学院,河南郑州

出　　处：《运动科学与健康研究》2025年第2期85-93,39,共10页Research on Sports Science and Health

基　　金：中央高校基本科研业务费项目专项资助“基于可穿戴设备的青少年体育活动信息有效性探究”(项目编号:2024TZJK005)。

摘　　要：人工智能技术在运动损伤预防中的应用日益广泛。通过人工智能的支持,人体运动数据的采集、复杂运动数据的分析处理以及智能化运动损伤预防模型的构建变得更加便捷,帮助研究人员更加精确地预测运动损伤。本文梳理了基于人工智能技术预防运动损伤的相关研究,系统分析了构建人工智能模型的一般流程,概括了运动损伤预防模型构建中各关键技术环节,评估了现有方法的优势和不足,并探讨了未来的研究方向。未来研究应进一步加强数据安全技术的发展,构建数据共享平台,探索多模态方法的应用。The application of artificial intelligence(AI)technology in sports injury prevention is becoming increasingly widespread.With the support of AI,the collection of human movement data,the analysis and processing of complex movement data,and the construction of intelligent sports injury prevention models have become more convenient,helping researchers to predict sports injuries with greater accuracy.This paper integrates research on sports injury prevention based on AI technology,systematically outlines and analyzes the general building process of AI models,summarizes key technical aspects in constructing sports injury prevention models,evaluates the strengths and limitations of current methods,and explores future research directions.Although existing studies have achieved some progress,several challenges remain.Future research should focus on enhancing data security technology,building data-sharing platforms,and exploring the application of multimodal approaches.

关 键 词：运动损伤 损伤预防 人工智能 机器学习 深度学习 

分 类 号：R873.1[医药卫生—运动医学]