Graph convolutional networks (GCNs) are the most commonly used methods for skeleton-based action recognition and have achieved remarkable performance. Generating adjacency matrices with semantically ...

Action recognition is a hot topic in the field of computer vision. It has been widely used in human–computer/robot interaction, abnormal behavior monitoring, and medical assistive. Because of the ...