Neural Network Static Hand Gesture Recognition Using Principal Component Analysis Combined with Artificial
Trong-Nguyen Nguyen, Huu-Hung Huynh, Jean Meunier · 2015
Sign language is the primary language used by the deaf community in order to convey information through gestures instead of words. In addition, this language is also used for human-computer interaction. In this paper, we propose an approach which can recognize sign language, based on principal component analysis and artificial neural network. Our approach begins by detecting the hand, pre- processing, determining eigenspace to extract features and using artificial neural network for training and testing. This method has low computational cost and can be applied in real-time. The proposed approach has been tested with high accuracy and is promising.