Spatio-temporal hand gesture recognition using neural networks

Abstract

In this paper, we present a real-time dynamic gesture recognition system utilizing radial basis function network techniques and dynamic time warping method. The goal is to design a space invariant and time interval invariant system which can distinguish between various spatio-temporal data representing hand gestures. The prototype and user interface have been realized. The resulting system possesses characteristics of real-time and online learning, user-defined gestures and functionality, and high recognition rate. We demonstrate a virtual reality application in which the object is manipulated by the proposed gesture recognition method.