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.
· International journal of com... · 0 citations