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Efficient Word-Level Sign Language Recognition Using Quantized Spatiotemporal Deep Learning for Low-Power Microcontrollers

2026-02-27

Abstract excerpt

Deploying efficient sign language recognition models on edge devices advances inclusive, affordable, and privacy-preserving human–computer interaction. Yet most state-of-the-art architectures target server-class hardware and fail under the strict memory, computation, and energy constraints of microcontrollers. This work introduces S3D-Conv1D, a spatiotemporal architecture for isolated word-level sign language reco...

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Literature Corpus work: c3d508f7-4c7a-5f7a-b0fd-fbc4bb3882d9
DOI: 10.20944/preprints202602.1848.v1

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