DAA-GCN: A Dynamic Adaptive Attention Graph Convolutional Network for Robust Skeleton-Based Action Recognition

<p>Rundong Zhou, Jiawei Wang</p>

doi:10.25236/ajcis.2025.080603

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DAA-GCN: A Dynamic Adaptive Attention Graph Convolutional Network for Robust Skeleton-Based Action Recognition

<p>Rundong Zhou, Jiawei Wang</p>

Year: 2025 Journal: Academic Journal of Computing & Information Science Vol: 8 (6)

DOI: 10.25236/ajcis.2025.080603

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Keywords:

Skeleton (computer programming) Computer science Action recognition Graph Artificial intelligence Convolutional neural network Action (physics) Pattern recognition (psychology) Theoretical computer science Physics

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Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

DAA-GCN: A Dynamic Adaptive Attention Graph Convolutional Network for Robust Skeleton-Based Action Recognition

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