A Novel HMM Distributed Classifier for the Detection of Gait Phases by Means of a Wearable Inertial Sensor Network

In this work, we decided to apply a hierarchical weighted decision, proposed and used in other research fields, for the recognition of gait phases. The developed and validated novel distributed classifier is based on hierarchical weighted decision from outputs of scalar Hidden Markov Models (HMM) ap...

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Detalles Bibliográficos
Autores principales: Taborri, Juri, Rossi, Stefano, Palermo, Eduardo, Patanè, Fabrizio, Cappa, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208171/
https://www.ncbi.nlm.nih.gov/pubmed/25184488
http://dx.doi.org/10.3390/s140916212

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208171/
https://www.ncbi.nlm.nih.gov/pubmed/25184488
http://dx.doi.org/10.3390/s140916212

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