Kinect Based Dynamic Hand Gesture Recognition Algorithm Research

摘要：

In dynamic gesture track recognition, gesture recognition rate has always been a problem, Because the traditional hand gesture recognition in how to separate the hand type from the surrounding environment , and then determine the palm position has been one of the difficult problems. This paper presents a Kinect based dynamic gesture trajectory identification method, use OpenNI where palm is defined as a Kinect node,quickly and accurately get the palm position coordinates, and then use the HMM technology to do gesture model training to improve the recognition rate. The experimental results show that this method of gesture track recognition rate is higher than the traditional.

关键词： Kinect Gesture recognition HMM

作者: Youwen Wang Cheng Yang Xiaoyu Wu Shengmiao Xu Hui Li

作者单位: College of Information Engineering,Communication University of China,Beijing, China

会议类型: 国际会议

会议名称: 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics 第4届智能人机系统与控制论国际会议 IHMSC 2012

会议地点: 南昌

会议语种:英文

页码: 274-279

在线出版日期: 2012-08-26（万方平台首次上网日期，不代表论文的发表时间）