The influence of different processing rules on wearable camera data estimates of habitual screen time in children.

ABSTRACT:

Background

Although interest in objective screen time measurement is growing, questions remain regarding data processing. The aim of this study was to investigate how different image capture intervals and processing assumptions influence screen time estimates from wearable camera images.

Methods

Screen time was measured using chest-worn Brinno TLC130 cameras which took static images every two seconds over four days in children participating in a crossover trial manipulating sleep. Images were coded for screen usage and only children with data from the same time block (before school, after school, weekends) during both intervention conditions were included. Analyses compared estimates of screen time using different intervals of image capture (2, 4, 6, 8, 10, 20, 30, 60 s) and

SUBMITTER: Jackson RF 

PROVIDER: S-EPMC12911048 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature