基于人工智能要素理论的乒乓球技能训练体系指标研究  

Research on the System and Index of Table Tennis Skill Training Based on the Theory of Artificial Intelligence Elements

作　　者：陈畅 滕守刚[2] CHEN Chang;TENG Shougang(Department of Physical Education,Wuhan University,Wuhan,Hubei Province,430072 China;School of Sports Training,Wuhan Sports University,Wuhan,Hubei Province,430072 China)

机构地区：[1]武汉大学体育部,湖北武汉430072 [2]武汉体育学院运动训练学院,湖北武汉430072

出　　处：《当代体育科技》2023年第19期1-9,共9页Contemporary Sports Technology

摘　　要：随着信息化、数字化、智能化等新兴技术的发展,乒乓球技能训练进入了新发展时代。该文基于人工智能的数据、算法、算力三大核心要素理论,构建了人工智能时代的乒乓球三大基本功训练关键要素体系指标,即眼脑功(眼睛判断与头脑分析)、手脚功(手上动作与脚下步伐)、实战功(实战套路与比赛经验)。针对各关键要素提出了切实可行的战术技术体系与训练方法体系,以期为促进乒乓球技能训练体系的发展提供新的理论框架和实践指导。With the development of emerging technologies such as informatization,digitalization and intellectualization,table tennis skill training has entered a new age of development.Based on the theory of three core elements of artificial intelligence(data—algorithm—computing power),this paper constructs the system and index of the key elements of the training of three basic skills of table tennis in the era of AI,namely,the skill of eyes and the brain(eye judgement and brain analysis),the skill of hands and feet(hand movements and foot steps)and the skill of actual combats(actual combat routines and competition experience),and proposes the practical system of tactics and skills and the system of training methods for each key element,so as to provide a new theoretic framework and practice guidance for promoting the development of the table tennis skill training system.

关 键 词：人工智能 乒乓球 技能训练 体系指标 

分 类 号：G846[文化科学—体育训练]