A novel interactive method of virtual reality system based on hand gesture recognition

Authors:
Shuying Zhao;Wenjun Tan;Chengdong Wu;Chunjiang Liu;Shiguang Wen
Affiliations:
School of Information and Engineering, Northeastern University, Sheyang, China;School of Information and Engineering, Northeastern University, Sheyang, China;School of Information and Engineering, Northeastern University, Sheyang, China;Science Center of Shenyang, Shenyang, China;School of Information and Engineering, Northeastern University, Sheyang, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

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Abstract

Hand gesture is a natural and intuitive interactive method. This paper presents a novel interactive method of virtual reality system based on hand gesture recognition. The hand gesture segmentation method is proposed based on building complexion model by Gaussian distribution and the background model by automatically update the background parameters to improve the ability of adaptation environment. According to the good describing ability of Fourier Descriptor and the good self-learning ability of BP neural network, an improved algorithm of hand recognition is presented. Experiment result indicates that this method is flexible, realistic and exact, and fit for many virtual reality systems.