Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model
Deaf and hard-of-hearing people in Bangladesh communicate mainly through Bangla Sign Language (BdSL). Automatic BdSL recognition on personal devices could widen access to education and services. Existing systems use controlled-setting datasets without expert verification and heavyweight pretrained backbones unsuited to on-device use. We introduce RSBdSL38, 10,874 expert-validated images spanning all 38 BdSL hand signs, representing the 51 letters of the Bangla alphabet, recorded from real signer
Record details
Published: 6 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Children & education
Retrieved: 7 August 2026
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ethics.ai (6 August 2026), “Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model,” evidence record 17335, https://ethics.ai/record/17335 (originally published by arXiv cs.AI).
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