A cost effective Sign Language to voice emulation system

Abstract

Sign Language Recognition has been a field of great interest for researchers across the globe because of the wide variety of applications that can be developed with the results. This paper presents a holistic approach to develop a real time and cost effective glove based system, to convert the static subset of a sign language to voice, using statistical template matching. The proposed system aims to build an affordable assistive device for the disabled masses, affected with speech impairment or `mutism'.