Multivariate CNN Model for Human Locomotion Activity Recognition with a Wearable Exoskeleton Robot

This study introduces a novel convolutional neural network (CNN) architecture, encompassing both single and multi-head designs, developed to identify a user’s locomotion activity while using a wearable lower limb robot. Our research involved 500 healthy adult participants in an activities of daily l...

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Detalles Bibliográficos
Autores principales: Son, Chang-Sik, Kang, Won-Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525937/
https://www.ncbi.nlm.nih.gov/pubmed/37760184
http://dx.doi.org/10.3390/bioengineering10091082

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525937/
https://www.ncbi.nlm.nih.gov/pubmed/37760184
http://dx.doi.org/10.3390/bioengineering10091082

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