This paper is in the following e-collection/theme issue:

NIH funded proposals with peer-review reports (USA) (115) Fitness Trackers and Smart Pedometers/Accelerometers (672) Innovations and Technology for Physical Activity Education (933) Instruments and Questionnaires for Physical Activity and Lifestyle (116)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65968, first published .
Calibration and Validation of Machine Learning Models for Physical Behavior Characterization: Protocol and Methods for the Free-Living Physical Activity in Youth (FLPAY) Study

Calibration and Validation of Machine Learning Models for Physical Behavior Characterization: Protocol and Methods for the Free-Living Physical Activity in Youth (FLPAY) Study

Calibration and Validation of Machine Learning Models for Physical Behavior Characterization: Protocol and Methods for the Free-Living Physical Activity in Youth (FLPAY) Study

Authors of this article:

Samuel Robert LaMunion1, 2 Author Orcid Image ;   Paul Robert Hibbing2, 3 Author Orcid Image ;   Scott Edward Crouter2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Samuel Robert LaMunion   1, 2 , PhD ;   Paul Robert Hibbing   2, 3 , PhD ;   Scott Edward Crouter   2 , PhD

1 Diabetes, Endocrinology, and Obesity Branch - Energy Metabolism Section, National Institute of Diabetes, Digestive, and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States

2 Department of Kinesiology, Recreation, and Sports Studies, The University of Tennessee Knoxville, Knoxville, TN, United States

3 Department of Kinesiology and Nutrition, The University of Illinois Chicago, Chicago, IL, United States

Corresponding Author:

  • Scott Edward Crouter, PhD
  • Department of Kinesiology, Recreation, and Sports Studies
  • The University of Tennessee Knoxville
  • 1914 Andy Holt Avenue
  • HPER 343
  • Knoxville, TN 37996
  • United States
  • Phone: 1 865-974-1272
  • Email: scrouter@utk.edu