S.Madhumitha, Neeraja S. Sathya, Pravya Pinto, Riyan John Stephan
The rapid advancement in communication technology has shrunk the world to a global village. But there is still a part of the society impotent in expressing ideas verbally. It is high time to break the barriers faced by vocally challenged people. “Sign language interpreter” is an electronic device that translates the sign language into speech by the use of gesture mapping thereby bridging the communication gap between the vocally challenged community and normal community, facilitating efficient communication. This system recognizes the hand gestures with the help of specially designed gloves fitted with flex sensors along the length of finger and an accelerometer. These recognized hand gestures are converted into speech by software so that normal people can understand their expressions. In this gesture recognition system a single gesture is translated to a complete message, rather than a couple of gestures forming a word as in the existing systems. This makes the communication process much simpler and effective rendering a human interpreter dispensable. The system can be customized by the user according to his needs as the messages are derived from a database developed after predictive analysis.