Real Time Sign Language Translation
Author(s):
Tejal Deshpande, Amit Marathe, Ronak Singh Rajput, Shubham Maurya, Ninad Tawde
Keywords:
Convolutional Neural Networks, Dataset Augmentation, Generative Pre-trained Transformer, Natural Language Generation
Abstract
Sign language is a very significant non-verbal communication medium for people with hearing impairment. Real time translation will be very useful tool for such people since it will ease communication and save some time. In this paper, we present a concept of hand movement detection and identification for sign language in real time. Proposed system will detect the gestures or hand movements and identify its meaning in sign language and convert it into words and thus form meaningful English sentences. With this we can narrowed down communication gap for people with hearing disability with hearing disability.
Article Details
Unique Paper ID: 151596

Publication Volume & Issue: Volume 8, Issue 1

Page(s): 351 - 355
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