ED-FNN: A New Deep Learning Algorithm to Detect Percentage of the Gait Cycle for Powered Prostheses

Throughout the last decade, a whole new generation of powered transtibial prostheses and exoskeletons has been developed. However, these technologies are limited by a gait phase detection which controls the wearable device as a function of the activities of the wearer. Consequently, gait phase detec...

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Detalles Bibliográficos
Autores principales: Vu, Huong Thi Thu, Gomez, Felipe, Cherelle, Pierre, Lefeber, Dirk, Nowé, Ann, Vanderborght, Bram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068484/
https://www.ncbi.nlm.nih.gov/pubmed/30041421
http://dx.doi.org/10.3390/s18072389

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068484/
https://www.ncbi.nlm.nih.gov/pubmed/30041421
http://dx.doi.org/10.3390/s18072389

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