Principal Component Analysis Applied to In-School Inertial Measurement Unit-Derived Data During Physical Activity: A Systematic Review Highlighting Children’s Behavioral Patterns
This systematic review demonstrates that PCA effectively identifies multidimensional patterns in children's PA and motor development, with volume-related dimensions consistently dominating the variance structure across diverse populations and settings.
Authors
- Carlos D. Gómez‐Carmona (ORCID: https://orcid.org/0000-0002-4084-8124)
- Markel Rico-González (ORCID: https://orcid.org/0000-0002-9849-0444)
- Daniel Rojas-Valverde
- Daniel González-Devesa (ORCID: https://orcid.org/0000-0001-6254-6461)
Institutions
- University of the Basque Country (ES)
- Catholic University of Ávila (ES)
- Universidad Nacional (CR)
- Universidad de Zaragoza (ES)
Publication Details
- Journal
- Sensors
- Published
- 2026-04-20
- DOI
- https://doi.org/10.3390/s26082542
- Primary Topic
- Children's Physical and Motor Development
- Type
- article
- Field-Weighted Citation Impact
- 0.00