A Machine Learning Framework for Gait Classification Using Inertial Sensors: Application to Elderly, Post-Stroke and Huntington’s Disease Patients

Machine learning methods have been widely used for gait assessment through the estimation of spatio-temporal parameters. As a further step, the objective of this work is to propose and validate a general probabilistic modeling approach for the classification of different pathological gaits. Specific...

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Detalles Bibliográficos
Autores principales: Mannini, Andrea, Trojaniello, Diana, Cereatti, Andrea, Sabatini, Angelo M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732167/
https://www.ncbi.nlm.nih.gov/pubmed/26805847
http://dx.doi.org/10.3390/s16010134

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732167/
https://www.ncbi.nlm.nih.gov/pubmed/26805847
http://dx.doi.org/10.3390/s16010134

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