CARL: a running recognition algorithm for free-living accelerometer data.

John J Davis Iv Marcin StraczkiewiczJaroslaw HarezlakAllison H Gruber

Published in: Physiological measurement (2021)

The CARL classifier can accurately identify bouts of running as short as three seconds in free-living accelerometry data. An open-source implementation of the CARL classifier is available at <<GITHUBURL>>.

Keyphrases

electronic health record
big data
high intensity
primary care
machine learning
physical activity
healthcare
deep learning
quality improvement
artificial intelligence