基于康复训练过程人体步态分析.pdf

Artificial Intelligence and Robotics Research 人工智能与机器人研究, 2016, 5(2), 41-52 Published Online May 2016 in Hans. /journal/airr /10.12677/airr.2016.52005 Human Gait Analysis Based on the Process of Rehabilitation Exercise Zehao Jia, Weihai Chen, Jianhua Wang, Xingming Wu, Qiang Peng School of Automation Science Electrical Engineering, Beihang University, Beijing th th th Received: May 7 , 2016; accepted: May 27 , 2016; published: May 30 , 2016 Copyright © 2016 by authors and Hans Publishers Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). /licenses/by/4.0/ Abstract As China gradually entered the aging society, the incidence of stroke, traumatic brain injury, spin- al cord injury and other diseases gradually increased. In the future, the medical needs for rehabil- itation will be very urgent, and the appearance of the rehabilitation robot is a relief. In order to analyze the motion gait for patients in the course of rehabilitation, in this article, we use Kinect-II tracking and gather the gait motion of patients in the process of rehabilitation exercise, and then we achieve the global classification of gait by using multidimensional differential dynamic time warping algorithm based on slope constraints. At the same time, in order to realize the local anal- ysis of the gait motion, we provide a gait analysis method which separates the gait information based on semantic feature. Keywords Kinect, Gait Analysis 基于康复训练过程的人体步态分析 贾泽皓，陈伟海，王建华，吴星明，彭 强 北京航空航天大学自动化科学与电气工程学院，北京 收稿日期：2016年5月7 日；录用日期：2016年5月27 日；发布日期：2016年5月30 日 文章引用: 贾泽皓, 陈伟海, 王建华, 吴星明, 彭强. 基于康复训练过程的人体步态分析[J]. 人工智能与