A Neural Network Based Algorithm for Dynamically Adjusting Activity Targets to Sustain Exercise Engagement Among People Using Activity Trackers
Ramin Mohammadi, Amanda Jayne Centi, Mursal Atif, Stephen Olusegun Agboola, Kamal Jethwani, Joseph C. Kvedar, Sagar V. Kamarthi
This paper develops a machine learning model to dynamically adjust activity targets for users of activity trackers to improve adherence by personalizing goals based on historical data and environmental factors.
JMIR mhealth and uhealth · Sep 8, 2020Peer-reviewedBioinformatics