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

Internet

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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