人工智能在竞技体育训练中的应用现状与发展趋势研究

Research on the Current Status and Development Trends of Artificial Intelligence Applications in Competitive Sports Training

摘要: 随着人工智能技术的快速发展，竞技体育训练正从传统的经验驱动模式向数据驱动与智能决策模式转型，这标志着竞技体育发展进入了一个全新的科学化与智能化阶段。传统的经验模式在个体化指导、实时反馈和潜力挖掘方面存在固有局限，而AI凭借其处理海量复杂数据的强大能力，正引领竞技体育训练迈向更为精准、高效的新范式。本文系统梳理了AI在实现运动员天赋精准识别、技术动作实时量化与纠正、训练负荷科学动态管理、复杂战术深度模拟以及潜在伤病早期预警等核心训练环节中的应用现状。同时，本文也深入分析了当前面临的数据异构性与标准化缺失、算法“不透明”问题、个人隐私与伦理风险、以及复合型专业人才短缺等亟待解决的挑战。在此基础上，本文提出了未来发展趋势：多模态数据深度融合、可解释人工智能(XAI)的引入、超个性化训练模型的构建以及教练员与AI高效人机协同训练范式的构建，以期最大化训练效率与效果。本研究旨在为体育科研工作者与一线教练员提供前瞻性理论参考与实践指导，从而有效助力我国竞技体育智能化水平的全面提升与竞技体育竞争力的增强。

Abstract: With the rapid advancement of artificial intelligence technology, competitive sports training is transitioning from traditional experience-driven models to data-driven and intelligent decision-making approaches, marking a new era of scientific rigor and smart automation in athletic development. The conventional experience-based model has inherent limitations in personalized guidance, real-time feedback, and potential identification, whereas AI’s capability to process massive amounts of complex data is driving competitive sports training toward a more precise and efficient paradigm. This paper systematically reviews AI applications in critical training aspects, including accurate athlete talent assessment, real-time quantification and correction of technical movements, scientific dynamic management of training loads, comprehensive tactical simulation, and early injury prediction. It also examines pressing challenges such as data heterogeneity, lack of standardization, algorithmic “black-box” issues, privacy and ethical concerns, and shortages of interdisciplinary professionals. Based on these findings, the study proposes future trends: deep integration of multimodal data, adoption of explainable AI (XAI), development of hyper-personalized training models, and establishment of efficient human-AI collaborative training frameworks to maximize training efficacy. This research aims to provide forward-looking theoretical insights and practical guidance for sports researchers and coaches, thereby advancing the overall intelligence level of China’s competitive sports and enhancing its global competitiveness.