Application of Internet of Things for Early Detection of COVID-19 using Wearables

Uddin, T.; Borhan Uddin, M.; Muzahidul Islam, A. K. M.; Islam, S.; Shatabda, S.

As the latest pandemic spreads, the world's governing bodies have been forced to impose strict social distancing measures. This has impacted businesses and manufacturing industries worldwide, including Bangladesh's RMG sector. To aid in the rapid spread of this infectious disease, this paper illustrates a simulation of an IoT system centered on wristbands specifically designed to detect early symptoms of COVID-19 (SARS-CoV-2). The system, which includes a facemask detection system and a thermal camera, identifies potential employees who may be at risk of contracting the COVID-19 virus. We simulated the wristband system using a simulation software in order to conduct a few test cases to ensure its feasibility. The wristbands' results were largely consistent with expectations, demonstrating their ability to monitor a wearer's vitals throughout the day. When combined with an attendance system and a face mask detection system, the wristband system enables a workplace to track its employees and detect possible infected workers. © 2021 IEEE.