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Roshini P

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Open access Sep 2026

A Lightweight CNN-GRU Model for Human Activity Recognition with Efficient Edge Deployment Using TFLite

A resource-constrained CNN-GRU hybrid model for HAR on the WISDM dataset that uses convolutional layers for spatial learning and gated recurrent units (GRU) for sequence learning, enabling real-time HAR on edge devices.

H. S. Ganesha, K. G. Harsha, Roshini P et al. · 0 citations

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