ISL Recognition and Learning

Indian Sign Language (ISL) is the primary mode of communication for the Deaf community in India. However, there is a lack of resources and tools for learning and recognizing ISL gestures. This project aims to address this gap by developing a large dataset of ISL gestures, implementing machine learning-based recognition systems, and creating game-based learning tools to facilitate the learning of ISL.

Collaborations:

• Prof. Sougata Sen, Dept. of Computer Science and Information Systems, BITS Pilani, K K Birla Goa Campus
• Prof. Surjya Ghosh, Dept. of Computer Science and Information Systems, BITS Pilani, K K Birla Goa Campus
• Prof. Sravan Danda, Dept. of Computer Science and Information Systems, BITS Pilani, K K Birla Goa Campus
• Prof. Thad Starner, Georgia Institute of Technology, USA