Published on in Vol 8 , No 11 (2020) :November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21209, first published .
Understanding User Behavior Through the Use of Unsupervised Anomaly Detection: Proof of Concept Using Internet of Things Smart Home Thermostat Data for Improving Public Health Surveillance

Understanding User Behavior Through the Use of Unsupervised Anomaly Detection: Proof of Concept Using Internet of Things Smart Home Thermostat Data for Improving Public Health Surveillance

Understanding User Behavior Through the Use of Unsupervised Anomaly Detection: Proof of Concept Using Internet of Things Smart Home Thermostat Data for Improving Public Health Surveillance

Niloofar Jalali 1 , MSc, PhD ;   Kirti Sundar Sahu 1 , MPH, MPT ;   Arlene Oetomo 1 , BSc ;   Plinio Pelegrini Morita 1, 2, 3, 4 , MSc, PEng, PhD

1 School of Public Health and Health Systems , Faculty of Applied Health Sciences , University of Waterloo , Waterloo , ON , CA

2 Institute of Health Policy, Management, and Evaluation , University of Toronto , Toronto , ON , CA

3 Department of Systems Design Engineering , University of Waterloo , Waterloo , ON , CA

4 eHealth Innovation , Techna Institute , University Health Network , Toronto , ON , CA

Corresponding Author:

  • Plinio Pelegrini Morita, MSc, PEng, PhD
  • School of Public Health and Health Systems
  • Faculty of Applied Health Sciences
  • University of Waterloo
  • 200 University Avenue West Waterloo
  • Waterloo, ON
  • CA
  • Phone: 1 5198884567 ext 31372
  • Email: plinio.morita@uwaterloo.ca