Indian Sign Language
Procurement and Project Status
Events
About The Project
Organizing Institute:
Indian Institute of Technology, Guwahati, India.
Participating Institutes:
Deaf and Dumb Educational Institutes/Schools of India. Most specifically, the institutes of its kind in the entire North-Eastern region of India. Moreover, Engineering Colleges/Institutes of the North-Eastern region may contribute in this project.
Beneficiaries:
Hearing impaired/mute students and people of India.
Motivation of the Project:
Sign language is very popular among the deaf community. But the people who are not deaf never try to learn the sign language for interacting with the deaf people. This becomes a cause of isolation of the deaf people. If the computer can be programmed in such a way that it can translate sign language to some speech or text format, the difference between the normal people and the deaf community can be minimized. This project is aimed to develop an automatic Indian Sign Language Education and Recognition Platform for hearing impaired student of India.
Project Goal:
1. Development of the deaf community from all aspects specially in the field of education.
2. Enabling the physically challenged students of India while operating a computer system.
3. Taking the deaf community at par their normal counterparts.
4. Translating gestures into some spoken language.
5. Providing a Human Computer Interaction system in form of Indian Sign Language.
Work Domain:
1. Designing the prototype of Indian Sign Language Recognition System.
2. Gathering information regarding different regional sign languages of India.
3. Creating skeleton of various signs and storing them into database.
4. Capturing gestures by the use of hand gloves or camera.
5. Making the computer understand differnet gestures.
Project Deliverables:
Related Research Publications:
1. M.K. Bhuyan, Mithun Kumar Kar and Debanga Raj Neog, “Two Handed Hand Pose Recognition for Human Computer Interactions,” Int’l IEEE Conf. Graphic and Image Processing (ICGIP), Manila, Philippines, 2010.
2. M.K. Bhuyan, Debanga Raj Neog and Mithun Kumar Kar , “Hand Pose Recognition using Geometric Features,” National Conference on Communications (NCC), 2011.
3. M.K. Bhuyan, Debanga Raj Neog and Mithun Kumar Kar, “Fingertip Detection for Hand Pose Recognition,” International Journal of Image Processing (IJIP ).