Rajendra Kumar

Edgeefficient human activity recognition using a quantized patchbased transformer.

Human Activity Recognition (HAR) systems using deep learning have shown significant promise; however, deploying such models on edge computing systems remains challenging due to constraints in inference latency, memory footprints and computational capacity. This study proposes a lightweight, end-to-end patch-based Trans...