A lightweight multi-scale convolutional attention network for lower limb motion recognition with transfer learning-Reference-Cited by-同舟云学术

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A lightweight multi-scale convolutional attention network for lower limb motion recognition with transfer learning

Published:2025-01 Issue: Volume:99 Page:106803
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Ling Liuyi^ORCID,Wei Liyu^ORCID,Feng Bin,Lin Zhu,Jin Li,Wang Yiwen,Li Weixiao

Publisher

Elsevier BV

Reference46 articles.

1. Physical HumanRobot interaction control of variable stiffness exoskeleton with sEMG-based torque estimation;Zhu;IEEE Trans. Ind. Inform.,2023

2. Lower limb motion recognition based on surface electromyography signals and its experimental verification on a novel multi-posture lower limb rehabilitation robots;Wang;Comput. Electr. Eng.,2022

3. Fast gait mode detection and assistive torque control of an exoskeletal robotic orthosis for walking assistance;Huo;IEEE Trans. Robot.,2018

4. Muscle performance investigated with a novel smart compression garment based on pressure sensor force myography and its validation against EMG;Belbasis;Front. Physiol.,2018

5. Single-channel surface electromyography signal classification with variational mode decomposition and entropy feature for lower limb movements recognition;Wei;Biomed. Signal Process. Control,2022

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