JOURNAL ARTICLE

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

Liang WangXiaoyan WuBin WuJianning Wu

Year: 2025 Journal:   Engineering Applications of Artificial Intelligence Vol: 154 Pages: 110922-110922   Publisher: Elsevier BV
Keywords:
Computer science Gait Artificial intelligence Graph Skeleton (computer programming) Convolutional neural network Pattern recognition (psychology) Fusion Physical medicine and rehabilitation Theoretical computer science

Metrics

2
Cited By
3.99
FWCI (Field Weighted Citation Impact)
52
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

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
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