Machine Learning Models for Classifying Physical Activity in Free-Living Preschool Children

Machine learning (ML) activity classification models trained on laboratory-based activity trials exhibit low accuracy under free-living conditions. Training new models on free-living accelerometer data, reducing the number of prediction windows comprised of multiple activity types by using shorter w...

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Detalles Bibliográficos
Autores principales: Ahmadi, Matthew N., Pavey, Toby G., Trost, Stewart G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472058/
https://www.ncbi.nlm.nih.gov/pubmed/32764316
http://dx.doi.org/10.3390/s20164364

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472058/
https://www.ncbi.nlm.nih.gov/pubmed/32764316
http://dx.doi.org/10.3390/s20164364

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