Open access
Jul 2026
Efficient Skeleton-Based Human Action Recognition for IoT Edge Devices Using Lightweight LSTM Networks
A lightweight, skeleton-based Human Action Recognition framework that combines MediaPipe pose estimation, spatiotemporal normalization, and LSTM-based temporal modeling to efficiently recognize kinetically distinct human movements on resource-limited Internet of Things (IoT) edge devices.
Shubbar Salman Baqer Alkhafaji, Ali Abdulazeez Mohammed Baqer Qazzaz, Yousif Samer Mudhafar
· Journal of Trends in Compute... · 0 citations