An alternative body temperature measurement solution: Combination of a highly accurate monitoring system and a visualized public health cloud platform
Journal
IEEE Internet of Things Journal
Journal Volume
8
Journal Issue
7
Pages
5778-5793
Date Issued
2021
Author(s)
Wang, Jen-Cheng
Hsieh, Chao-Liang
Tseng, Kai-Sheng
Ye, Zheng-Wei
Su, Lin-Kuei
Wen, Tzai-Hung
Abstract
To quickly isolate suspected cases to control the epidemics, this study proposes a body temperature monitoring system with a thermography based on the Internet of Things (IoT) architecture. The collected data are transmitted to a back-end platform via wireless communication. Using the analyzed data, the platform provides services, such as instant alerts for any anomalies, infectious disease outbreak prediction, and risk level assessment for a given area, and it will be a great help to epidemic prevention. The mean absolute percentage error and root mean square error of the proposed monitoring system under an extensive series of experiments are 0.04% and 0.0204°C, respectively. It shows that the body temperature measured by the thermal imaging sensor in the system can accurately represent the actual body temperature after specific calibrations that take the environmental temperature into account. It can also be expanded to a decision supporting system to help schools or government agencies to make proper decisions to stop the spread of infectious diseases. ? 2014 IEEE.
Subjects
Diseases; Internet of things; Mean square error; Physiology; Risk assessment; Temperature measurement; Thermography (imaging); Body temperature measurements; Decision supporting systems; Environmental temperature; Infectious disease outbreaks; Internet of thing (IOT); Mean absolute percentage error; Root mean square errors; Thermal imaging sensors; Monitoring
Other Subjects
Diseases; Internet of things; Mean square error; Physiology; Risk assessment; Temperature measurement; Thermography (imaging); Body temperature measurements; Decision supporting systems; Environmental temperature; Infectious disease outbreaks; Internet of thing (IOT); Mean absolute percentage error; Root mean square errors; Thermal imaging sensors; Monitoring
Type
journal article