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