Validation of Inter-Subject Training for Hidden Markov Models Applied to Gait Phase Detection in Children with Cerebral Palsy

Gait-phase recognition is a necessary functionality to drive robotic rehabilitation devices for lower limbs. Hidden Markov Models (HMMs) represent a viable solution, but they need subject-specific training, making data processing very time-consuming. Here, we validated an inter-subject procedure to...

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Detalles Bibliográficos
Autores principales: Taborri, Juri, Scalona, Emilia, Palermo, Eduardo, Rossi, Stefano, Cappa, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610555/
https://www.ncbi.nlm.nih.gov/pubmed/26404309
http://dx.doi.org/10.3390/s150924514

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610555/
https://www.ncbi.nlm.nih.gov/pubmed/26404309
http://dx.doi.org/10.3390/s150924514

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