An Intelligent Interactive System Based on Hand Gesture Recognition Algorithm and Kinect

摘要：

In this paper, gesture recognition algorithm with kinect sensor is proposed. The depth cue is used to locate the hand area. Based on the histograms of oriented gradient (HOG) and adaboost learning methods, the static hand algorithm is designed to recognize the predefine gesture in the hand Area. By tracking the hand trajectory by kinect, hnims is used to train and classify dynamic gesture. An intelligent interactive system based on hand gesture recognition algorithm above is presented to choose and control different programs. Experimental results demonstrate that our gesture recognition algorithm is robust and effective, and the built interactive system with more intelligence improves the convenience and nature between human-computer interaction.

关键词： hand gesture recognition vision-based gesture Kinect human-computer natural interaction

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

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

会议类型: 国际会议

会议名称: 2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

会议地点: 杭州

会议语种:英文

页码: 872-876

在线出版日期: 2012-10-28（万方平台首次上网日期，不代表论文的发表时间）