基于Kinect的原地太极拳辅助训练系统
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河北省科技攻关项目(16210312D)


Research of Tai-chi-chuan auxiliary training system based on Kinect
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    摘要:

    为促进太极拳教学训练的科学化、规范化,提出并设计了基于Kinect运动捕捉技术和角度、速度特征提取的太极拳辅助训练系统,应用动态时间规划算法(DTW)采样对应帧,替代传统等间隔采样关键帧的方法。系统由学习模块、动作采集模块和动作评分模块组成。学习模块配有标准动作教学视频,能够满足学员学习要求;动作采集模块采用微软开发的Kinect设备,针对原地太极拳动作中人体骨架的20个关节的空间坐标进行数据采集,然后经过滤波降噪及遮挡点数据处理后进行骨架数据保存;评分模块以8个关键关节点的16个角度特征和20个关节点的瞬时速度特征为基础构建测试序列,通过与标准序列进行实时对比计算,根据预设的评分规则实现评分功能,并为学员提供直观可靠的训练建议,从而提高学员的学习效率。通过增加传感器数量,进一步设计和优化数据融合及滤波算法,配合微软推出的Kinect2.0版本,该系统也可推广应用于医疗康复训练、体育训练动作分析及评估、虚拟现实人机交互等多个领域。

    Abstract:

    In order to promote the scientific standardization of Tai-chi-chuan teaching and training, a Tai-chi-chuan auxiliary training system based on Kinect motion capture technology and extraction of the angle feature and speed feature is proposed and designed. The dynamic time planning algorithm (DTW) sampling corresponding frame is applied to replace the traditional method of sampling the key frame. The auxiliary training system consists of learning module, action acquisition module and action scoring module. Learning module with stan-dard action teaching video, to meet the requirements of students learning; action acquisition module uses Microsoft developed Kinect equipment to realize data acquisition of the spatial coordinates of the human skeleton in Tai-chi-chuan action, and through filtered noise reduction and the occlusion point data processing the skeleton data is saved. The scoring module constructs the test sequence based on the 16 angle features of eight key joint nodes and the instantaneous velocity characteristics of 20 joint nodes. By comparing with the standard sequence in real time, the original scoring rules is used to achieve the scoring function, which provides students with intuitive and reliable training recommendations, so as to improve the efficiency of learning. By increasing the number of sensors, further designing and optimizing data fusion and filtering algorithm, combining with Microsoft’s Kinect2.0 version, the system can also be applied to medical rehabilitation, physical training analysis and evaluation, virtual reality and human-computer interaction, etc.

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薛智宏,张利英,程振华,赵浩祉,杨春晖.基于Kinect的原地太极拳辅助训练系统[J].河北科技大学学报,2017,38(2):183-189

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  • 收稿日期:2016-11-16
  • 最后修改日期:2017-01-13
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  • 在线发布日期: 2017-04-13
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