Lightweight Graph Convolutional Network For Efficient Skeleton Based Action Recognition

Yimeng Zhang; Yang Yang; Xuehao Gao

doi:10.1109/ijcnn60899.2024.10651467

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JOURNAL ARTICLE

Lightweight Graph Convolutional Network For Efficient Skeleton Based Action Recognition

Yimeng Zhang Yang Yang Xuehao Gao

Year: 2024 Pages: 1-8

DOI: 10.1109/ijcnn60899.2024.10651467

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Keywords:

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

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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

Lightweight Graph Convolutional Network For Efficient Skeleton Based Action Recognition

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