GESTURE RECOGNITION FOR VISUALLY CHALLENGED PEOPLE USING MACHINE LEARNING
Best project award by the Institution of Engineers, Tamilnadu State Center
Department : Information Technology
It is designed to recognize the deaf and dumb gestures for establishing communication between the deaf and dumb and the blind people using machine learning and image processing. This system can be able to recognize static and dynamic gestures using k-nearest neighbor and SVM classification methods. It can learn to classify the specific gesture patterns of any person and convert into voice so that the blind people can be able to hear the gestures.