Mute Life Envoy

Abstract

Improving human computer interaction emphasized the research in gesture recognition field. Researchers have done a lot of research work in Gesture Recognition field for different languages. And many gesture recognizers are already in the market for different languages. But unfortunately International Sign Language has received less attention. In Pakistan, India and Middle East, there are more than hundred million people, which are deaf and mute, and having difficulty for communicating with normal people. As literacy rate is very low in these areas, there is barrier of technological learning/awareness; therefore, we intend to propose Gesture Recognizer. In Gesture recognition, Gesture is converted to text that makes it easy to communicate. This project deals with the study of processing techniques of International Sign Language and conversion of gestures with the computing methodologies to achieve a gesture recognizing system for communication. This system would help user to communicate with any one, which is deaf or mute without getting dependent on any interpreter or person who translate their signs. Our overall goal is the implementation of existing gesture recognition techniques and develops a gesture recognizer for International Sign Language (Alphabets) using existing technologies. Recommendations for future development and conclusions are also included in the report