Identifying Active Travel Behaviors in Challenging Environments Using GPS, Accelerometers, and Machine Learning Algorithms

Background: Active travel is an important area in physical activity research, but objective measurement of active travel is still difficult. Automated methods to measure travel behaviors will improve research in this area. In this paper, we present a supervised machine learning method for transporta...

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Detalles Bibliográficos
Autores principales: Ellis, Katherine, Godbole, Suneeta, Marshall, Simon, Lanckriet, Gert, Staudenmayer, John, Kerr, Jacqueline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4001067/
https://www.ncbi.nlm.nih.gov/pubmed/24795875
http://dx.doi.org/10.3389/fpubh.2014.00036

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4001067/
https://www.ncbi.nlm.nih.gov/pubmed/24795875
http://dx.doi.org/10.3389/fpubh.2014.00036

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