Validity of a Global Positioning System-Based Algorithm and Consumer Wearables for Classifying Active Trips in Children and Adults.

Chelsea SteelKatie CristAmanda GrimesCarolina BejaranoAdrian OrtegaPaul R HibbingJasper SchipperijnJordan A Carlson

Published in: Journal for the measurement of physical behaviour (2021)

The PALMS showed good convergent validity in children and adults and were about 50% and 27% more accurate than Fitbit and Garmin (based on F1). Empirically-based recommendations for improving PALMS' pedestrian classification are provided. Since the consumer devices capture both indoor and outdoor walking/running and cycling, they are less appropriate for trip-based research.

Keyphrases

machine learning
young adults
air pollution
deep learning
high intensity
health information
particulate matter
high resolution
social media
drinking water