Gesture Translator for Physically Impaired People

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-20 Number-2
Year of Publication : 2015
Authors : Shweta Londhe , Vidhee Thakkar

MLA

Shweta Londhe , Vidhee Thakkar "Gesture Translator for Physically Impaired People". International Journal of Computer Trends and Technology (IJCTT) V20(2):62-65, Feb 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Generally dumb people use sign language for communication but they find difficulty in communicating with others who don’t understand sign language. In this paper we have proposed a system to lower this communication gap .It is based on the need of developing an electronic device that can translate sign language into speech in order to make the communication take place between the mute communities with the general public possible. We propose a vision based Hand gesture Recognition system that recognizes hand gesture in midair, especially for physically impaired people, and provides recognized character or number as text and corresponding sound. This system provides a convenient and easy to use human computer interaction (HCI) system for especially visually or physically impaired people. This contour model based recognition system is trained on a set of defined hand images. Training images are processed using contour model from the OpenCV image processing library. We have evaluated the system for both quantitative and qualitative aspects.

References
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Keywords
Contour Analysis, Hand gesture Recognition,Template Matching.