Real-time Bangla Sign Language Translator

AmazUtah_NLP at SemEval-2024 Task 9: A MultiChoice Question Answering System for Commonsense Defying Reasoning


[Submitted on 21 Dec 2024]

View a PDF of the paper titled Real-time Bangla Sign Language Translator, by Rotan Hawlader Pranto and 1 other authors

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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.

Submission history

From: Rotan Hawlader Pranto [view email]
[v1]
Sat, 21 Dec 2024 05:56:32 UTC (1,353 KB)



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