Deep learning pathways for automatic sign language processing

Mukhiddin Toshpulatov, Wookey Lee, Jaesung Jun, Suan Lee

Published: 01 Aug 2025, Last Modified: 16 Nov 2025Pattern RecognitionEveryoneRevisionsCC BY-SA 4.0
Abstract: Highlights•Comprehensive survey of deep learning (DL) in automatic sign language processing (SLP).•Systematic analysis of DL models for SLP tasks: recognition, translation, and production.•In-depth evaluation of model features, performance, strengths, and limitations.•Identified performance gaps between SLP and spoken language processing.•Recommendations for future research to address current SLP limitations.
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