APPLICATION OF EMBEDDED SYSTEMS AND THEIR TECHNOLOGIES IN THE FIGHT AGAINST COVID-19: A BRIEF LITERATURE REVIEW
DOI:
https://doi.org/10.47820/recima21.v5i8.5603Keywords:
Covid-19, IOT, RFIDAbstract
The COVID-19 pandemic has had a number of impacts on society, with several measures being established to combat it. In search of more effective solutions for monitoring and combating Sars-CoV-2, some technologies commonly used in embedded systems have been applied, such as Radio Frequency Identification (RFID), Internet of Things (IoT) and embedded systems. Given this problem, this work carried out a brief systematic review of the literature, which sought to identify similar articles, using embedded systems with RFID and/or IoT to combat COVID-19. As a result, the works surveyed were summarized and categorized. Finally, the use of such technologies proved to be an efficient way to minimize the impacts caused.
Downloads
References
Manavi SY, Nekkanti V, Choudhary RS, Jayapandian N. “Review on Emerging Internet of Things Technologies to Fight the COVID-19”. Fifth International Conference on Research in Computational Intelligence and Communication Networks. 2020;202-208. DOI: https://doi.org/10.1109/ICRCICN50933.2020.9296161
Mehta S, Grant K, Atlin C, Ackery A. “Mitigating staff risk in the workplace: The use of RFID technology during a COVID-19 pandemic and beyond”, BMJ Health & Care Informatics, 2020;27:e100230. DOI: https://doi.org/10.1136/bmjhci-2020-100230
Silveira TM, Pinho P, Carvalho NB. “RFID Tattoo for COVID-19 Temperature Measuring”, 2021 IEEE Radio and Wireless Symposium. 2021;98-100. DOI: https://doi.org/10.1109/RWS50353.2021.9360325
Munastha KA, Wijaya W, Sarief I, Ryanto M, Kadir Y, Bakar BA. “Clean Environment Tools Design For Smart Campus Laboratory Through a Global Pandemic”, 14th International Conference on Telecommunication Systems, Services, and Applications. 2020;1-4. DOI: https://doi.org/10.1109/TSSA51342.2020.9310860
Maïzi Y, Bendavid Y, “Hybrid simulation modeling for analyzing the impact of RFID scrubs’ distribution in operating rooms”, 19th International Conference on Modeling & Applied Simulation. 2020;76-82. DOI: https://doi.org/10.46354/i3m.2020.mas.010
Oliveira V, Duarte L, Costa G, Macêdo M, Silveira T. “Automation System for Six-minute Walk Test Using RFID Technology”, 2020 International Symposium on Networks, Computers and Communications. 2020;1-6. DOI: https://doi.org/10.1109/ISNCC49221.2020.9297215
Garg L, Chukwu E, Nasser N, Chakraborty C, GARG C, “Anonymity Preserving IoT-Based COVID-19 and Other Infectious Disease Contact Tracing Model”, IEEE Access. 2020;8:159402-159414. DOI: https://doi.org/10.1109/ACCESS.2020.3020513
Torres CMC, Gomez JFV, Carvallho JJ, Trujillo EL, Tinjaca NB. “Implementation of Industry 4.0 Technologies in Embedded Systems for Contagion Mitigation and COVID-19 Control in Work Areas”. 2020 Congreso Internacional de Innovación y Tendencias en Ingeniería. 2020;1-6. DOI: https://doi.org/10.1109/CONIITI51147.2020.9240341
Bianco GM, Marrocco G. Sensorized Facemask With Moisture-Sensitive RFID Antenna. IEEE Sensors Letters. 2021;5(3):1-4. DOI: https://doi.org/10.1109/LSENS.2021.3059348
Shahina F, Kabeer AS. “Smart Access Card system to mitigate the Covid-19 Outbreak”, 2nd International Conference on Computation, Automation and Knowledge Management. 2021;168-173.
Sanath K, Meenakshi K, Rajan M, Balamurugan V, Harikumar ME. “RFID and Face Recognition based Smart Attendance System” 5th International Conference on Computing Methodologies and Communication. 2021;492-499. DOI: https://doi.org/10.1109/ICCMC51019.2021.9418481
Abuelkhail A, Baroudi U, Raad M, Sheltami T. “Internet of things for healthcare monitoring applications based on RFID clustering scheme”, Wireless Netw. 2021;27:747–763. DOI: https://doi.org/10.1007/s11276-020-02482-1
Stojanovic D, Vujovic M. “Contactless and context-aware decision making for automated building access systems”, 26th International Conference of the Association for Computer-Aided Architectural Design Research in Asia. 2021;2:193-202. DOI: https://doi.org/10.52842/conf.caadria.2021.2.193
August M, Davison C, Diallo M, Ghosh D, Gupta P, Graves C, Han S, Holstrom MI, Khargonekar P, Kline M, Mehrotra S, Sharma S, Venkatasubramanian N, Wang G, Yus R. “A privacy-enabled platform for COVID-19 applications: poster abstract”. 18th Conference on Embedded Networked Sensor Systems. 2020;745–746. DOI: https://doi.org/10.1145/3384419.3430594
Downloads
Published
License
Copyright (c) 2024 RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218
This work is licensed under a Creative Commons Attribution 4.0 International License.
Os direitos autorais dos artigos/resenhas/TCCs publicados pertecem à revista RECIMA21, e seguem o padrão Creative Commons (CC BY 4.0), permitindo a cópia ou reprodução, desde que cite a fonte e respeite os direitos dos autores e contenham menção aos mesmos nos créditos. Toda e qualquer obra publicada na revista, seu conteúdo é de responsabilidade dos autores, cabendo a RECIMA21 apenas ser o veículo de divulgação, seguindo os padrões nacionais e internacionais de publicação.