Attention-fused residual transformer CNN for robust lower limb movement recognition
Detecting lower limb movements from surface electromyography (sEMG) signals has received more attention, because of its importance in prosthetic control, robotic applications and medical rehabilitation. sEMG signals offer a non-invasive and accurate method to recognize movement intent. Conventional...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-07-01
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| Series: | Automatika |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/00051144.2025.2513734 |
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