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Industrial EdgeSign: NAS-Optimized Real-Time Hand Gesture Recognition for Operator Communication in Smart Factories

Year: 2025

Type: article

Abstract: Industrial operators need reliable communication in high-noise, safety-critical environments where speech or touch input is often impractical. Existing gesture systems either miss real-time deadlines on resource-constrained h... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.071533

Authors: Meixi Chu, Xinyu Jiang, Yushu Tao

Institutions: The University of Sydney, Northeastern University

Language: English

Topic: Hand Gesture Recognition Systems

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4416162216

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