Real Time Sign Language Translation

  • Unique Paper ID: 151596
  • Volume: 8
  • Issue: 1
  • PageNo: 351-355
  • 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.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{151596,
        author = {Tejal Deshpande and Amit Marathe and Ronak Singh Rajput and Shubham Maurya and Ninad Tawde},
        title = {Real Time Sign Language Translation },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {1},
        pages = {351-355},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151596},
        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.},
        keywords = {Convolutional Neural Networks, Dataset Augmentation, Generative Pre-trained Transformer, Natural Language Generation},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 8
  • Issue: 1
  • PageNo: 351-355

Real Time Sign Language Translation

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