Intelligent Hand Gesuture Recognition System

• Main Authors: Chuang-Nan Chang, 張壯年
• Other Authors: Daw-Tung Lin
• Format: Others
• Language: en_US
• Published: 1999
• Online Access: http://ndltd.ncl.edu.tw/handle/57863853246951928147

碩士 === 中華大學 === 電機工程學系碩士班 === 87 === With the development of multimedia system and the environment of virtual reality, the communication between human and PC becomes a highlighting issue. Therefore, the development of HCI(Human-Computer-Interface) becomes more and more important. Gesture is one of the best natural ways to communicate. In this thesis, we proposed real time and efficient methods, dynamic time warping and radial basis function neural network, to recognize the hand gestures. Traditionally, the technology of gesture recognition was divided into two categories: vision-based and glove-based methods. Vision-based methods has been popularly used in some researches and applications. Generally, computer camera is the input device for observing the information of hands for fingers. However, the computation complexity in tracking of hands has several bottlenecks, such as feature extraction, objects need separated from background, fingers motion tracking, etc. Thus, it is difficult to achieve real time operation. For these reasons, we have turned to glove-based technique which is more feasible and more practical in gesture recognition. In this thesis, we have developed an intelligent and user- friendly recognition system based on low-cost personal computer , on-line learning, high recognition rate and real time operation. The resulting system is designed to be more robust, users may employ previous gestures or defining gestures by themselves in order to satisfy different requirements.