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Real-time Bangla Sign Language Translator

arXiv 2412.16497 ↗First posted 21 Dec 2024cs.CL cs.CV cs.LGcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 34 references that are in the map. First posted on arXiv 21 Dec 2024.

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4 of 34 references.

References · 4

  1. 2015Show, Attend and Tell: Neural Image Caption Generation with Visual Attentioncited by 1,423
  2. 2013Speech Recognition with Deep Recurrent Neural Networkscited by 669
  3. 2021Skeleton Aware Multi-modal Sign Language Recognitioncited by 101
  4. 2018Real Time Bangladeshi Sign Language Detection using Faster R-CNNcited by 6

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