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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...
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| Publicado en: | Sensors (Basel) |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7472058/ https://ncbi.nlm.nih.gov/pubmed/32764316 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20164364 |
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