Satoshi Asamizu

Confidence-Aware Spatial-Temporal Attention Graph Convolutional Network for Skeleton-Based Expert-Novice Level Classification

A skeleton-based expert-novice level classification method via Confidence-aware Spatial-Temporal Attention Graph Convolutional Network (ConfSTA-GCN) is presented in this paper. The main contribution of this paper is the realization of the accurate expert-novice level classification by introducing a…