Multimodal Human-Exoskeleton Interface for Lower Limb Movement Prediction Through a Dense Co-Attention Symmetric Mechanism

A challenging task for the biological neural signal-based human-exoskeleton interface is to achieve accurate lower limb movement prediction of patients with hemiplegia in rehabilitation training scenarios. The human-exoskeleton interface based on single-modal biological signals such as electroenceph...

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Detalles Bibliográficos
Autores principales: Shi, Kecheng, Mu, Fengjun, Huang, Rui, Huang, Ke, Peng, Zhinan, Zou, Chaobin, Yang, Xiao, Cheng, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9082753/
https://www.ncbi.nlm.nih.gov/pubmed/35546887
http://dx.doi.org/10.3389/fnins.2022.796290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9082753/
https://www.ncbi.nlm.nih.gov/pubmed/35546887
http://dx.doi.org/10.3389/fnins.2022.796290

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