A Framework for Hand Gesture Recognition with Applications to Sign Language

Abstract

Sign language is the most natural and expressive way for the hearing impaired. Because of this, automatic sign language recognition has long attracted vision researchers. It offers enhancement of communication capabilities for the speech and hearing impaired, promising improved social opportunities and integration. This paper describes a gesture recognition system which can recognize wide classes of hand gesture in a vision based setup. Experimental results demonstrate that our proposed recognition system can be used reliably in recognizing some signs of native Indian sign language