APS
31st APS Annual Convention · 2019
Phone Activity Improves Accuracy of Commercial Wearable Sleep Measurements
- Stephen Mattingly
University of Notre Dame - Gonzalo Martinez
University of Notre Dame - Julie Gregg
University of Colorado, Boulder - Kizito Masaba
Dartmouth College - Shayan Mirjafari
Dartmouth College - Andrew Campbell
Dartmouth College - Sidney D'Mello
University of Colorado, Boulder - Aaron Striegel
University of Notre Dame
Abstract
Commercial wearables use motion to detect sleep, but cannot detect wakeful stationary phone usage. We found ~ 65% of participants used their phones after detected bedtime and/or before detected wake time. Correcting wearable data with phone usage data improves model accuracy for self-reported sleep.
Health/Exercise/Sport
