Skeleton-based sign language recognition via bone-augmented graph neural networks and temporal modeling
Sign language recognition is a challenging task that requires understanding both spatial relationships between body joints and temporal movement patterns. This paper proposes a hybrid skeleton-based architecture combining Graph Neural Networks (GNN) and 1D Convolution for American Sign Language (ASL) recognition, desig...