Gesture to Text Conversion with Obstacle Detection release_ctxpvbwqvrhqfg4f27ullvyk4q

by Gouri Menon, Akshaya, Afia Thomas, Neethu

Released as a article-journal .

2018  

Abstract

Communication is fundamental human right. Sign language is the normal way of communication for deaf and dumb people among themselves and with normal people. Still there exists a large communication gap between normal people and disabled people since normal people often find it difficult to interpret the sign language. To minimize this gap we propose a new methodology which converts sign language to text. It mainly consists of the flex sensors to capture the hand gestures and the recognized character is to a smartphone. This way disabled people are able to communicate with the normal people and vice versa.
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