Free-living Evaluation of Laboratory-based Activity Classifiers in Preschoolers.
Machine learning classification models for accelerometer data are potentially more accurate methods to measure physical activity in young children than traditional cut point methods. However, existing algorithms have been trained on laboratory-based activity trials, and their performance has not bee...
| Publicado en: | Medicine & Science in Sports & Exercise Vol. 52; no. 5; pp. 1227 - 1235 |
|---|---|
| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
May2020
|
| Acceso en línea: | Ver este registro en EBSCOhost |