摘要
在Kinect平台下的康复训练中,为减小关节转动对其它关节点运动轨迹的影响,提出一种基于余弦的动态时间规整(DTW)方法。Kinect采集到关节点三维坐标后,将每对相邻的关节点用向量的形式表示,以向量变化的时间序列代替运动轨迹作为评价对象,在DTW中引入余弦对向量时间序列进行评价;使用所提方法实现动作评价系统,定义6种上肢训练动作。实验结果表明,相对于传统DTW方法,余弦DTW算法对检测运动的准确性具有更高的精确度。
To reduce the effects of joints rotation on other joint trajectories in rehabilitation training with Kinect,a dynamic time warping(DTW) method based on cosine was proposed.After collecting the coordinates of the human joint points with Kinect,every pair of human joint points was described as a vector,the time-series of vectors replaced motion trajectories.The DTW based on cosine distance was proposed to calculate the similarities of time-series.An activity evaluation system was developed using the proposed method,6 kinds of upper limb training movements were defined.The results show that the method has better robustness in the accuracy of detecting movement.
出处
《计算机工程与设计》
北大核心
2018年第1期249-254,共6页
Computer Engineering and Design
基金
广东省科技计划基金项目(2014B040401012)
广州市科技计划基金项目(2014J4100204)
关键词
康复训练
体感摄像头
动态时间规整
人机交互
手势识别
rehabilitation training
Kinect
dynamic time warping
human-computer interaction
gesture recognition
