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
