Segmenting accelerometer data from daily life with unsupervised machine learning

PURPOSE: Accelerometers are increasingly used to obtain valuable descriptors of physical activity for health research. The cut-points approach to segment accelerometer data is widely used in physical activity research but requires resource expensive calibration studies and does not make it easy to e...

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Detalles Bibliográficos
Autores principales: van Kuppevelt, Dafne, Heywood, Joe, Hamer, Mark, Sabia, Séverine, Fitzsimons, Emla, van Hees, Vincent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326431/
https://www.ncbi.nlm.nih.gov/pubmed/30625153
http://dx.doi.org/10.1371/journal.pone.0208692

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326431/
https://www.ncbi.nlm.nih.gov/pubmed/30625153
http://dx.doi.org/10.1371/journal.pone.0208692

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