Static Hand Gesture Recognition from a Video

摘要：

A sign language (also signed language) is a language which, instead of acoustically conveyed sound patterns, uses visually transmitted sign patterns to convey meaning-simultaneously combining hand shapes, orientation and movement of the hands. Sign languages commonly develop in deaf communities, which can include interpreters, friends and families of deaf people as well as people who are deaf or hard of hearing themselves. In this paper, we proposed a novel system for recognition of static hand gestures from a video, based on Kohonen neural network. We proposed algorithm to separate out key frames, which include correct gestures from a video sequence. We segment, hand images from complex and non uniform background. Features are extracted by applying Kohonen on key frames and recognition is done.

关键词： key frame selection algorithm segmentation of hand feature extraction and classification experimental results

作者: Rajeshree S. Rokade Dharmpal Doye

作者单位: SGGS Institute of Engg. and Tech. Nanded, INDIA

会议类型: 国际会议

会议名称: 2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)

会议地点: 长沙

会议语种:英文

页码: 10-13

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）