AN EFFICIENT MULTIMODAL FRAMEWORK FOR HUMAN ACTION RECOGNITION USING TCN AND BILSTM WITH LATE FUSION
In recent years, researchers have become interested in human action recognition because of the broad spectrum of its applications in surveillance, healthcare monitoring, and human-computer interaction. A highly robust, efficient, and innovative multimodal system for recognizing human actions is proposed in this study b...