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

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.

Objective

The Free-Living Physical Activity in Youth (FLPAY) study was designed in 2 parts to establish a criterion dataset for novel method development for identifying periods of transition between activities in youth.

Methods

The FLPAY study used criterion measures of behavior (direct observation) and energy expenditure (indirect calorimetry) to label data from

SUBMITTER: LaMunion SR 

PROVIDER: S-EPMC12044308 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature