Machine Learning Applications for Physical Activity and Behaviour in Early Childhood: A Systematic Review

Machine Learning Applications for Physical Activity and Behaviour in Early Childhood: A Systematic Review

This systematic review evaluated machine learning applications for analysing physical activity and behaviour in preschool children using accelerometer data. Following the PRISMA guidelines, we systematically searched PubMed, FECYT, and ProQuest Central databases. Fourteen studies implementing machin...

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Bibliographic Details
Main Authors: Markel Rico-González, Carlos D. Gómez-Carmona
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
technology
preschool
prediction
computer science
education
Online Access:https://www.mdpi.com/2076-3417/15/11/6296
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