Skeleton Based Action Recognition

Skeleton-based Action Recognition is a computer vision task that focuses on recognizing and classifying human actions from sequences of 3D skeletal joint data captured by sensors. The goal of this task is to develop algorithms capable of understanding changes in human posture and accurately determining the type of action, with broad application prospects including human-computer interaction, motion analysis, and security monitoring.