Title :
A Framework for Hand Gesture Recognition with Applications to Sign Language
Author :
Bhuyan, M.K. ; Ghosh, Debashis ; Bora, P.K.
Author_Institution :
Dept. of Electron. & Commin. Eng., Indian Inst. of Technol., Guwahati
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
Keywords :
gesture recognition; image enhancement; hand gesture recognition; sign language recognition; social opportunity; vision setup; Auditory system; Automata; Computer vision; Deafness; Handicapped aids; Natural language processing; Natural languages; Pattern recognition; Psychology; Speech enhancement; Finite state machine; Hand gestures; Motion trajectory; Signlanguage;
Conference_Titel :
India Conference, 2006 Annual IEEE
Conference_Location :
New Delhi
Print_ISBN :
1-4244-0369-3
Electronic_ISBN :
1-4244-0370-7
DOI :
10.1109/INDCON.2006.302823