A Neural Network-Based Gait Phase Classification Method Using Sensors Equipped on Lower Limb Exoskeleton Robots

An exact classification of different gait phases is essential to enable the control of exoskeleton robots and detect the intentions of users. We propose a gait phase classification method based on neural networks using sensor signals from lower limb exoskeleton robots. In such robots, foot sensors w...

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Detalles Bibliográficos
Autores principales: Jung, Jun-Young, Heo, Wonho, Yang, Hyundae, Park, Hyunsub
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701252/
https://www.ncbi.nlm.nih.gov/pubmed/26528986
http://dx.doi.org/10.3390/s151127738

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701252/
https://www.ncbi.nlm.nih.gov/pubmed/26528986
http://dx.doi.org/10.3390/s151127738

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