This paper is in the following e-collection/theme issue:

Ubiquitous Health (uHealth) (116) Internet of Things (70) Sensors at Home and Domotics (51) Machine Learning (1370) Behavioural Surveillance for Public Health (204) Innovative Methods in Public Health and Surveillance (305) Sleep Monitoring, Sleep Quality, Sleep Disorders (167)

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

Authors of this article:

Niloofar Jalali1 Author Orcid Image ;   Kirti Sundar Sahu1 Author Orcid Image ;   Arlene Oetomo1 Author Orcid Image ;   Plinio Pelegrini Morita1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (12) Tweetations (10) Metrics

Journals

  1. Koyama T, Sato S, Toriumi M, Watanabe T, Nimura A, Okawa A, Sugiura Y, Fujita K. A Screening Method Using Anomaly Detection on a Smartphone for Patients With Carpal Tunnel Syndrome: Diagnostic Case-Control Study. JMIR mHealth and uHealth 2021;9(3):e26320 View
  2. Friedrich B, Sawabe T, Hein A. Unsupervised statistical concept drift detection for behaviour abnormality detection. Applied Intelligence 2023;53(3):2527 View
  3. Jalali N, Tran N, Sen A, Morita P. Identifying the Socioeconomic, Demographic, and Political Determinants of Social Mobility and Their Effects on COVID-19 Cases and Deaths: Evidence From US Counties. JMIR Infodemiology 2022;2(1):e31813 View
  4. Sahu K, Majowicz S, Dubin J, Morita P. NextGen Public Health Surveillance and the Internet of Things (IoT). Frontiers in Public Health 2021;9 View
  5. Oetomo A, Jalali N, Costa P, Morita P. Indoor Temperatures in the 2018 Heat Wave in Quebec, Canada: Exploratory Study Using Ecobee Smart Thermostats. JMIR Formative Research 2022;6(5):e34104 View
  6. Jalali N, Sahu K, Oetomo A, Morita P. Usability of Smart Home Thermostat to Evaluate the Impact of Weekdays and Seasons on Sleep Patterns and Indoor Stay: Observational Study. JMIR mHealth and uHealth 2022;10(4):e28811 View
  7. Li J, binti Abdul Aziz F, Zhang N. Evaluation Index System of Green Public Open Space Based on Internet of Things and Mental Health. Data Intelligence 2023;5(4):990 View
  8. Dowdeswell B, Sinha R, Kuo M, Seet B, Hoseini A, Ghaffarianhoseini A, Sabit H. Healthcare in Asymmetrically Smart Future Environments: Applications, Challenges and Open Problems. Electronics 2023;13(1):115 View
  9. Shahid Z, Saguna S, Åhlund C. Multiarmed Bandits for Sleep Recognition of Elderly Living in Single-Resident Smart Homes. IEEE Internet of Things Journal 2024;11(3):4414 View
  10. Sahu K, Dubin J, Majowicz S, Liu S, Morita P. Revealing the Mysteries of Population Mobility Amid the COVID-19 Pandemic in Canada: Comparative Analysis With Internet of Things–Based Thermostat Data and Google Mobility Insights. JMIR Public Health and Surveillance 2024;10:e46903 View

Books/Policy Documents

  1. Gnanaguru G, Priscila S, Balamurugan R. Computational Intelligence for Clinical Diagnosis. View
  2. Friedrich B. Empowering Independent Living using the ICF. View