摘要
针对运动功能障碍患者的康复训练需求,在使用Kinect设备提取人体骨架拓扑结构的基础上,提出了一种基于关节点角度序列提取人体运动特征的动作模型,并设计了一种基于Kinect体感相机的康复训练系统。该系统利用Kinect设备实时采集人体骨骼数据,计算特征关节点间的角度,形成关节角度变化序列。利用动态时间规整算法(DTW:Dynamic Time Warping)比较被测角度序列与动作库的标准动作序列的相似度,判断动作是否标准并输出评估结果。该系统具有使用便捷、成本低的特点,提高了训练过程的趣味性。测试结果表明,该系统通过人机交互实现了对运动障碍患者的康复训练指导,对康复训练过程具有积极影响。
In order to meet the rehabilitation training needs of patients with motor disfunction.A motion model to extract human motion features is proposed based on the node Angle sequence based and the extraction of human skeleton topology using Kinect equipment,and a rehabilitation training system based on Kinect motion sensor camera is designed.The system collect human real-time skeleton data with Kinect,calculate the Angle between feature nodes,and form the Angle sequence.The DTW(Dynamic Time Warping)algorithm is used to compare the similarity between the measured Angle sequence and the standard action sequence of the action library,judge whether the action is standard and output the evaluation results.It is easy to use and costs less,which improves the fun of the training process.The system realizes the rehabilitation training guidance for the patients with sports disorder through human-machine interaction,and has a positive influence on the rehabilitation training process.
作者
千承辉
张昕昊
陶锦
刘俊麟
QIAN Chenghui;ZHANG Xinhao;TAO Jin;LIU Junlin(College of Instrumentation&Electrical Engineering,Jilin University,Changchun 130061,China)
出处
《吉林大学学报(信息科学版)》
CAS
2020年第1期92-98,共7页
Journal of Jilin University(Information Science Edition)
基金
国家级大学生创新创业基金资助项目(2017A65288).
关键词
Kinect传感器
康复训练
动态时间规整算法
人机交互
Kinect
rehabilitation training
dynamic time warping(DTW)algorithm
human-computer interaction