Gesture Recognition for Human-computer Interaction Using Neural Networks

摘要：

For the purpose of human-computer interaction (HCI). a visual approach based on gesture recognition is proposed The technique essentially includes detection and segmentation, feature extraction, and recognition of a number of gestures which are assigned as some control commands. Each of the processing stages employs a neural network for skin-color detection, principal component analysis (PCA) as well as clustering encoding of. the hand-gestures. Details of the approach and experiment results are provided.

作者: Yanxin Zhang Jinghe Yuan

作者单位: Institute of Modem Optics, Nankai University,Key Laboratory of Optoelectronics Information Technical Science, EMC,Tianjin 300071 China

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 773-778

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）