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An IoT-Based Wristband for Automatic People Tracking, Contact Tracing and Geofencing for COVID-19

The coronavirus disease (COVID-19) pandemic has triggered a huge transformation in the use of existing technologies. Many innovations have been made in the field of contact tracing and tracking. However, studies have shown that there is no holistic system that integrates the overall process from dat...

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Detalles Bibliográficos
Autores principales: Mahapatra, Sharanya, Kannan, Vishali, Seshadri, Srinidhi, Ravi, Visvanathan, Sofana Reka, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785935/
https://www.ncbi.nlm.nih.gov/pubmed/36560271
http://dx.doi.org/10.3390/s22249902
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author Mahapatra, Sharanya
Kannan, Vishali
Seshadri, Srinidhi
Ravi, Visvanathan
Sofana Reka, S.
author_facet Mahapatra, Sharanya
Kannan, Vishali
Seshadri, Srinidhi
Ravi, Visvanathan
Sofana Reka, S.
author_sort Mahapatra, Sharanya
collection PubMed
description The coronavirus disease (COVID-19) pandemic has triggered a huge transformation in the use of existing technologies. Many innovations have been made in the field of contact tracing and tracking. However, studies have shown that there is no holistic system that integrates the overall process from data collection to the proper analysis of the data and actions corresponding to the results. It is critical to identify any contact with infected people and to ensure that they do not interact with others. In this research, we propose an IoT-based system that provides automatic tracking and contact tracing of people using radio frequency identification (RFID) and a global positioning system (GPS)-enabled wristband. Additionally, the proposed system defines virtual boundaries for individuals using geofencing technology to effectively monitor and keep track of infected people. Furthermore, the developed system offers robust and modular data collection, authentication through a fingerprint scanner, and real-time database management, and it communicates the health status of the individuals to appropriate authorities. The validation results prove that the proposed system identifies infected people and curbs the spread of the virus inside organizations and workplaces.
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spelling pubmed-97859352022-12-24 An IoT-Based Wristband for Automatic People Tracking, Contact Tracing and Geofencing for COVID-19 Mahapatra, Sharanya Kannan, Vishali Seshadri, Srinidhi Ravi, Visvanathan Sofana Reka, S. Sensors (Basel) Article The coronavirus disease (COVID-19) pandemic has triggered a huge transformation in the use of existing technologies. Many innovations have been made in the field of contact tracing and tracking. However, studies have shown that there is no holistic system that integrates the overall process from data collection to the proper analysis of the data and actions corresponding to the results. It is critical to identify any contact with infected people and to ensure that they do not interact with others. In this research, we propose an IoT-based system that provides automatic tracking and contact tracing of people using radio frequency identification (RFID) and a global positioning system (GPS)-enabled wristband. Additionally, the proposed system defines virtual boundaries for individuals using geofencing technology to effectively monitor and keep track of infected people. Furthermore, the developed system offers robust and modular data collection, authentication through a fingerprint scanner, and real-time database management, and it communicates the health status of the individuals to appropriate authorities. The validation results prove that the proposed system identifies infected people and curbs the spread of the virus inside organizations and workplaces. MDPI 2022-12-16 /pmc/articles/PMC9785935/ /pubmed/36560271 http://dx.doi.org/10.3390/s22249902 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mahapatra, Sharanya
Kannan, Vishali
Seshadri, Srinidhi
Ravi, Visvanathan
Sofana Reka, S.
An IoT-Based Wristband for Automatic People Tracking, Contact Tracing and Geofencing for COVID-19
title An IoT-Based Wristband for Automatic People Tracking, Contact Tracing and Geofencing for COVID-19
title_full An IoT-Based Wristband for Automatic People Tracking, Contact Tracing and Geofencing for COVID-19
title_fullStr An IoT-Based Wristband for Automatic People Tracking, Contact Tracing and Geofencing for COVID-19
title_full_unstemmed An IoT-Based Wristband for Automatic People Tracking, Contact Tracing and Geofencing for COVID-19
title_short An IoT-Based Wristband for Automatic People Tracking, Contact Tracing and Geofencing for COVID-19
title_sort iot-based wristband for automatic people tracking, contact tracing and geofencing for covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785935/
https://www.ncbi.nlm.nih.gov/pubmed/36560271
http://dx.doi.org/10.3390/s22249902
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