IoT-enhanced multi-attention and lightweight feature integration for human pose estimation in motion training systems
Human pose estimation is widely used in intelligent sports training, rehabilitation assistance, and human–computer interaction, providing precise motion feedback and training guidance. However, existing methods suffer from keypoint localization errors and insufficient global coherence in complex bac...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016825005708 |
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