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

Journal: JMIR research protocols
PMID: 40239195

Abstract

BACKGROUND: Wearable activity monitors are increasingly used to characterize physical behavior. The development and validation of these characterization methods require criterion-labeled data typically collected in a laboratory or simulated free-living environment, which does not generally translate well to free-living due to limited behavior engagement in development that is not representative of free living.

Authors

  • Samuel Robert LaMunion
    Diabetes, Endocrinology, and Obesity Branch - Energy Metabolism Section, National Institute of Diabetes, Digestive, and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States.
  • Paul Robert Hibbing
    Department of Kinesiology, Recreation, and Sports Studies, The University of Tennessee Knoxville, Knoxville, TN, United States.
  • Scott Edward Crouter
    Department of Kinesiology, Recreation, and Sports Studies, The University of Tennessee Knoxville, Knoxville, TN, United States.

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