摘要
随着计算机技术的飞速发展,人工智能已从实验室走向了实际应用,同时也开始渗入到体育运动领域。通过对人工智能技术在体育运动中的应用现状进行分析,并对基于人工智能的运动教练系统发展进行了展望:在获取运动相关数据的基础上,对功能性动作模式、运动技术等进行评估,建立多目标反馈的训练方式,最终帮助运动者提高训练水平。重点阐述了基于人工智能的运动教练系统未来发展的4个关键研究方向,包括功能性动作模式评估与改善方案、运动技术评价与改进建议、针对多训练目标的实时反馈以及辅助训练机器人等。
With the rapid advances of computing technology,artificial intelligence( AI) has been developed from research to application,and starts to revolutionize the domain of sports. The concept of artificial sports trainer is explored based on the research of present applications of AI in sports; it evaluates the functional action mode and sports technology based on related data,and establishs the training mode of multi-objective feedback to help the athletes improve the training level. Four key research topics of developing artificial sports trainer are elaborated in the article,including functional movement pattern assessment and training,sports techniques evaluation and improvement,real-time biofeedback in training,and coaching robot.
作者
刘昊扬
LIU Hao-yang(AI Sports Engineering Lab, Beijing Sport University, Beijing 100084, China)
出处
《北京体育大学学报》
CSSCI
北大核心
2018年第4期55-60,共6页
Journal of Beijing Sport University
关键词
人工智能运动教练
动作捕捉
功能性动作模式评估
运动技术评价
实时反馈
artificial sports trainer
motion capture
functional movement pattern
sports techniques evaluation
real-time biofeedback