计算机与现代化

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基于Kinect的运动训练辅助系统

  

  1. (沈阳工业大学信息科学与工程学院,辽宁沈阳110870)
  • 收稿日期:2018-12-28 出版日期:2019-08-15 发布日期:2019-08-16
  • 作者简介:郑轩宇(1995-),男,新疆乌鲁木齐人,本科生,研究方向:云计算,图像处理,E-mail: 422303841@qq.com; 史畅(1997-),女,辽宁沈阳人,本科生,研究方向:计算机图形学; 崔文成(1973-),男,副教授,硕士,研究方向:智能信息处理。
  • 基金资助:
    2018年辽宁省大学生创新创业训练计划项目(201810142057)

Exercise Training Assist System Based on Kinect

  1. (School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China)
  • Received:2018-12-28 Online:2019-08-15 Published:2019-08-16

摘要: 针对当下人们自主运动训练时出现的动作不标准且无人监督指导的问题,设计一种基于Kinect传感器的运动训练辅助系统。利用Kinect捕捉人体的关节点坐标提取特征,采用动态时间规整算法实现运动动作的识别,将模板动作与实时动作进行匹配,根据匹配的程度给予评价。实验结果表明该系统对于运动动作的平均正确识别率达到91.25%,正确评价率达到95.9%,能及时有效地反馈评价,起到一定运动训练辅助作用。

关键词: Kinect, 骨骼追踪, 运动训练, 动态时间规整算法, 运动动作识别

Abstract: According to the unsupervised and rudderless independent exercise training, also the nonstandard movements in it, an exercise training assist system based on Kinect is designed and realized. The coordinates of joint points in the human body are captured by Kinect, the features of movement are extracted, and the motion recognition algorithm is implemented by Dynamic Time Warping, then the template and the action are matched in real time, and evaluation is fed back in accordance with the matched degree. The experiment results show that the average correct recognition rate is 91.25%, the correct evaluation rate is 95.9% and the evaluation is fed back timely and effectively by the system, which indicates that the system meets the requirements of exercise training assist.

Key words: Kinect, skeletal tracking, exercise training, Dynamic Time Warping, exercise action recognition

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