Skill Level Classification Using Motion Data via Spatial Temporal Graph Convolutional Network. - Tatsuki Seino; Naoki Saito 006; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (GCCE, 2023)

Proficiency-level Estimation Using Heterogeneous Features via Label Dequantized CCA. - Tatsuki Seino; Naoki Saito 006; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (ICCE-Taiwan, 2023)

Confidence-Aware Spatial-Temporal Attention Graph Convolutional Network for Skeleton-Based Expert-Novice Level Classification. - Tatsuki Seino; Naoki Saito 006; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (ICASSP, 2024)

Expert-Novice Level Classification Using Graph Convolutional Network Introducing Confidence-Aware Node-Level Attention Mechanism. - Tatsuki Seino; Naoki Saito 006; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (Sensors, 2024)