A novel adaptive spatial–temporal cross-graph convolutional fusion learning network for skeleton-based abnormal gait recognition

Liang Wang; Xiaoyan Wu; Bin Wu; Jianning Wu

doi:10.1016/j.engappai.2025.110922

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A novel adaptive spatial–temporal cross-graph convolutional fusion learning network for skeleton-based abnormal gait recognition

Liang Wang Xiaoyan Wu Bin Wu Jianning Wu

Year: 2025 Journal: Engineering Applications of Artificial Intelligence Vol: 154 Pages: 110922-110922 Publisher: Elsevier BV

DOI: 10.1016/j.engappai.2025.110922

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Keywords:

Computer science Gait Artificial intelligence Graph Skeleton (computer programming) Convolutional neural network Pattern recognition (psychology) Fusion Physical medicine and rehabilitation Theoretical computer science

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Topics

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Hand Gesture Recognition Systems

Physical Sciences → Computer Science → Human-Computer Interaction

A novel adaptive spatial–temporal cross-graph convolutional fusion learning network for skeleton-based abnormal gait recognition

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Citation History

Topics

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