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Bogdan R, Crişan-Vida M, Muresan R, et al. Environment Monitoring System Raising Awareness of Sensitive Inhabitants Based on Regression Predictive Modelling. Stud Health Technol Inform. 2021;281:322-326doi: 10.3233/SHTI210173.
Bogdan, R., Crişan-Vida, M., Muresan, R., Barmayoun, D., & Stoicu-Tivadar, L. (2021). Environment Monitoring System Raising Awareness of Sensitive Inhabitants Based on Regression Predictive Modelling. Studies in health technology and informatics, 281322-326. https://doi.org/10.3233/SHTI210173
Bogdan, Razvan, et al. "Environment Monitoring System Raising Awareness of Sensitive Inhabitants Based on Regression Predictive Modelling." Studies in health technology and informatics vol. 281 (2021): 322-326. doi: https://doi.org/10.3233/SHTI210173
Bogdan R, Crişan-Vida M, Muresan R, Barmayoun D, Stoicu-Tivadar L. Environment Monitoring System Raising Awareness of Sensitive Inhabitants Based on Regression Predictive Modelling. Stud Health Technol Inform. 2021 May 27;281:322-326. doi: 10.3233/SHTI210173. PMID: 34042758.
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Stud Health Technol Inform. 2021 May 27;281:322-326. doi: 10.3233/SHTI210173.

Environment Monitoring System Raising Awareness of Sensitive Inhabitants Based on Regression Predictive Modelling.

Studies in health technology and informatics

Razvan Bogdan, Mihaela Crişan-Vida, Razvan Muresan, Darius Barmayoun, Lăcrămioara Stoicu-Tivadar

Affiliations

  1. University Politehnica Timisoara, Faculty of Automation and Computers, Timi?oara, Romania.
  2. University Politehnica Timisoara, Research Center in Engineering and Management, Timi?oara, Romania.

PMID: 34042758 DOI: 10.3233/SHTI210173

Abstract

The system described in this paper notifies the user about possible indoor environmental hazards through a smartphone application. Events such as house fires or increasing levels of dangerous substances are detected; thus, raising the awareness level in regard to the quality of the indoor environment. Our solution is a system that monitors the environment within a room in order to avoid undesired health hazards. It consists of a data collection subsystem, a cloud database which stores the collected information and a mobile application that displays and notifies the user in case of critical events that might negatively affect the health condition.

Keywords: IoT; cloud; indoor air quality; monitoring; sensors

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