A Survey On Gesture Recognition in Sign Language Recognition for Mute and Dumb People
Vaishali B. Bhagat, P R Patil · 2014
Gesture recognition is a field in computer science and sign- language technology with the aim of interpreting human gestures via mathematical algorithms. Current focuses in the field include emotion recognition from the face and hand gesture recognition. Many approaches have been made using cameras and computer vision algorithms to interpret sign language. The Sign language is very important for people having hearing and speaking deficiency generally called Dumb and Mute. Sign language is the only way of communication for such peoples to convey their messages and it becomes important for peoples to understand their language. But as many peoples are not aware with the sign language and thus it is difficult for mute and dumb people to properly communicate with the society. So this gesture recognition provides a solution for this problem which will convert a sequence of hand gestures in text and then into the spoken words. Every hand gesture recognition is depend on character in American Sign Language (ASL). The related research areaof sign gesture recognition is Human Computer Interaction (HCI) and image processing which help in the solution to this problem.