Fadilla ‘Atyka Nor Rashid

PART-GCN: anatomy-anchored and motion-enhanced adaptive graph topology learning for skeleton-based action recognition

Abstract Skeleton-based action recognition is important for intelligent systems that require reliable interpretations of human motion, including rehabilitation monitoring, elder-care assessment, and surveillance. Graph convolutional networks (GCNs) are the dominant approach becau...