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Conference Aug 2026

Ultra-Lightweight Edge-AI Framework for Real-Time HAR Applications

There is an increasing demand for lightweight Human Activity Recognition system on constrained devices due to recent advances in edge intelligence. Conventional deep learning models require high computation, memory, and energy for continuous inference. The development of a very light Edge-AI framework for UHAR on smart...

G. M, M. T, L. S et al. · 0 citations

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