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, Canada

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

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

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

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, N2L 3G1
  • Canada
  • Phone: 1 5198884567 ext 31372
  • Fax: 1 519 746 6776
  • Email: plinio.morita@uwaterloo.ca