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IFIANet: Frequency Attention Network for Time–Frequency in sEMG-Based Motion Intent Recognition

Lower limb exoskeleton systems require accurate recognition of the wearer’s movement intentions prior to action execution in order to achieve natural and smooth human–machine interaction. Surface electromyography (sEMG) signals can reflect neural activation of muscles before movement onset, making t...

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Principais autores: Gang Zheng, Jiankai Lin, Jiawei Zhang, Heming Jia, Jiayang Tang, Longtao Shi
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-12-01
Serier:Sensors
Fag:
surface electromyography (sEMG)
intent recognition
deep learning
robotic exoskeletons
feature fusion
Online adgang:https://www.mdpi.com/1424-8220/26/1/169
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