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Real-time Bangla Sign Language Translator

Computation and Language 2024-12-24 v1 Computer Vision and Pattern Recognition Machine Learning

Abstract

The human body communicates through various meaningful gestures, with sign language using hands being a prominent example. Bangla Sign Language Translation (BSLT) aims to bridge communication gaps for the deaf and mute community. Our approach involves using Mediapipe Holistic to gather key points, LSTM architecture for data training, and Computer Vision for realtime sign language detection with an accuracy of 94%. Keywords=Recurrent Neural Network, LSTM, Computer Vision, Bangla font.

Keywords

Cite

@article{arxiv.2412.16497,
  title  = {Real-time Bangla Sign Language Translator},
  author = {Rotan Hawlader Pranto and Shahnewaz Siddique},
  journal= {arXiv preprint arXiv:2412.16497},
  year   = {2024}
}

Comments

Accepted in 2024 27th international Conference on Computer and information Technology (ICCIT), Bangladesh

R2 v1 2026-06-28T20:44:44.723Z