The Validation of a Pocket Worn Activity Tracker for Step Count and Physical Behavior in Older Adults during Simulated Activities of Daily Living.

Darcy UmmelsWouter BijnensJos AartsKenneth MeijerAnna J BeurskensEmmylou Beekman

Published in: Gerontology & geriatric medicine (2020)

This study showed that the optimized algorithm parameter settings can more validly estimate step count and physical behavior in older adults wearing an activity tracker in the trouser pocket during ADL compared to reference applications.

Keyphrases

physical activity
mental health
peripheral blood
machine learning
deep learning