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Feature Selection for Wearable Smartphone-Based Human Activity Recognition with Able bodied, Elderly, and Stroke Patients

Human activity recognition (HAR), using wearable sensors, is a growing area with the potential to provide valuable information on patient mobility to rehabilitation specialists. Smartphones with accelerometer and gyroscope sensors are a convenient, minimally invasive, and low cost approach for mobil...

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Detalles Bibliográficos
Autores principales:	Capela, Nicole A., Lemaire, Edward D., Baddour, Natalie
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2015
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4401457/ https://www.ncbi.nlm.nih.gov/pubmed/25885272 http://dx.doi.org/10.1371/journal.pone.0124414

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