| 基于人工智能的运动教练系统分析与展望 |
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| 引用本文： | 刘昊扬.基于人工智能的运动教练系统分析与展望[J].北京体育大学学报,2018,41(4):55-60. |
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| 作者姓名： | 刘昊扬 |
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| 作者单位： | 北京体育大学人工智能体育工程实验室，北京 100084 |
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| 摘 要： | 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，本研究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。文章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。
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| 关 键 词： | 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 |
| 收稿时间： | 2018/3/12 0:00:00 |
Artificial Sports Trainer: Review and Prospect |
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| LIU Hao-yang.Artificial Sports Trainer: Review and Prospect[J].Journal of Beijing Sport University,2018,41(4):55-60. |
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| Authors: | LIU Hao-yang |
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| Institution: | AI Sports Engineering Lab, Beijing Sport University, Beijing 100084, China |
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| Abstract: | Abstract: 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. 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. |
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| Keywords: | Keywords: artificial sports trainer motion capture functional movement pattern sports techniques evaluation real-time biofeedback |
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