Details

Autor(en) / Beteiligte

• Mulchandani, Himansh
• Paunwala, Chirag
• Singh, Satish Kumar
• Raman, Balasubramanian
• Roy, Partha
• Nagabhushan, P
• Nagabhushan, P.

Titel

Real-Time Sign Language Interpreter on Embedded Platform

Ist Teil von

• Computer Vision and Image Processing, 2021, Vol.1377, p.477-488

Ort / Verlag

Singapore: Springer Singapore Pte. Limited

Erscheinungsjahr

2021

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Sign language is the primary way of communication for speech-impaired people. American Sign Language is one of the most popular sign languages and is used by over 250,000 people around the world. However, this language is only decipherable by the people who have the same disabilities, and it is not understood by masses. Hence, a need arises for an interpreter that can convert this language to text and speech. The existing research focuses on effectively converting sign language to text and speech; however, less emphasis is laid on building a system that is not only accurate but efficient as well which could be run on a compact embedded platform. This is necessary so that a portable interpreter can be made which can be easily carried and used by such people for their convenience making their day to day life easier. In this research, we propose an implementation based on MobileNet architecture, that is not only accurate but efficient as well. Moreover; a demonstration of the entire framework has also been shown on Jetson Nano.