Cross-Modality Self-Attention and Fusion-Based Neural Network for Lower Limb Locomotion Mode Recognition

Although there are many wearable sensors that make the acquisition of multi-modality data easier, effective feature extraction and fusion of the data is still challenging for lower limb locomotion mode recognition. In this article, a novel neural network is proposed for accurate prediction of five c...

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Veröffentlicht in:	IEEE transactions on automation science and engineering Jg. 22; S. 5411 - 5424
Hauptverfasser:	Zhao, Changchen, Liu, Kai, Zheng, Hao, Song, Wenbo, Pei, Zhongcai, Chen, Weihai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2025
Schlagworte:	Accuracy Cross-modality interaction Electromyography Feature extraction Fuses locomotion mode recognition lower limb neural network Neural networks Representation learning self-attention Stairs
ISSN:	1545-5955, 1558-3783
Online-Zugang:	Volltext
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