Hand Gesture Recognition Based on HU Moments in Interaction of Virtual Reality

摘要：

Hand gesture recognition is the key technology to realize interaction of virtual reality. The accuracy and stability of the current hand gesture methods are still unsatisfactory due to various reasons. In YCbCr color space, the distribution of skin color has a good clustering. The paper uses skin detection in YCbCr color space for hand regional image, and proposes a hand gesture recognition method based on HU moments which have invariance property of translation, rotation and size. By extracting HU moments of the hand contour, this paper applies support vector machine (SVM) method to achieve the real-time hand gesture recognition. Experiments prove that the proposed method has very good precision and stability in virtual reality interaction.

关键词： Hand gesture recognition Virtual reality interaction YCbCr color space HU moments SVM

作者: Yun Liu Yanmin Yin Shujun Zhang

作者单位: College of Information Science and Technology Qingdao University of Science and Technology (QUST) Qingdao, 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: 145-148

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）