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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |