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:
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Plinio Pelegrini Morita, MSc, PEng, PhD
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School of Public Health and Health Systems
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Faculty of Applied Health Sciences
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University of Waterloo
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200 University Avenue West Waterloo
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Waterloo, ON, N2L 3G1
-
Canada
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Phone:
1 5198884567 ext 31372
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Fax: 1 519 746 6776
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Email: plinio.morita@uwaterloo.ca