Ali Abdulazeez Mohammed Baqer Qazzaz

Efficient Skeleton-Based Human Action Recognition for IoT Edge Devices Using Lightweight LSTM Networks

Human Action Recognition (HAR) is becoming increasingly important in areas such as intelligent surveillance, healthcare monitoring, and facilitating human-computer interaction. However, most current techniques use RGB-based deep learning, which is computationally intensive and cannot run on low-resource edge devices. T...