IoT and Fuzzy Logic Applied to Smart Public Hall for COVID-19 Monitoring System
DOI:
https://doi.org/10.47672/ajce.1358Keywords:
Fuzzy logic, public hall, sensor, IoT, raspberry-pi, COVID-19Abstract
Purpose: Since the breakout of COVID-19 pandemic, various preventive measures have been put in place by WHO to prevent the spread of this disease. However, some people are unaware or less likely to follow rules regarding hygiene, physical distancing, properly wearing of face mask and body temperature measurement. One of the best solutions to this challenge is the introduction of the internet of things (IoT) technology to assist in implementation of the preventive measures. This paper presents an IoT-enabled solution that uses Fuzzy logic controller to assess the risks of being COVID-19 infected and monitor environment conditions in the public hall to limit the spread of the coronavirus.
Methodology: The proposed model employed sensors to measure in real-time the body temperature, hand sanitization, wearing of face mask, room ventilation and IP camera controlled by Fuzzy logic controller for decision making. In addition, it uses raspberry-pi for processing and data transmission to the cloud, liquid crystal display (LCD) for displaying data and web application was developed for user interface. The resulting sensor measurements were simulated using MATLAB software and the system made automatic decisions.
Findings: A prototype was implemented effectively and the results obtained from the system were fast, accurate, efficient and cost effective when compared to other commercially available systems.
Unique Contribution to Practice: The actual practice for implementing the preventive measures require the presence of the health care personnel (HCP) which is time consuming and risky for HCP. Therefore, this system works autonomously and effectively in monitoring and controlling the implementation of the COVID-19 preventive measures in the public hall.
Downloads
References
T. Leppäaho and P. Ritala, "Surviving the coronavirus pandemic and beyond: Unlocking family firms' innovation potential across crises," J. Fam. Bus. Strateg., vol. 13, no. 1, 2022, doi: 10.1016/j.jfbs.2021.100440.
WHO COVID-19 Dashboard. Geneva, "COVID-19 Global situation," World Health Organization, 2023.
J. M. Guaita MartÃnez, P. Carracedo, D. Gorgues Comas, and C. H. Siemens, "An analysis of the blockchain and COVID-19 research landscape using a bibliometric study," Sustain. Technol. Entrep., vol. 1, no. 1, p. 100006, 2022, doi: 10.1016/j.stae.2022.100006.
D. Bisanzio et al., "Estimating the effect of non-pharmaceutical interventions to mitigate COVID-19 spread in Saudi Arabia," BMC Med., vol. 20, no. 1, pp. 1-14, 2022, doi: 10.1186/s12916-022-02232-4.
M. Clarisse et al., "Use of Technologies in COVID-19 Containment in Rwanda," Rw. Public Heal. Bul, vol. 2, no. 2, pp. 7-12, 2020, [Online]. Available: www.rwandapublichealthbulletin.org
T. A. Soomro, L. Zheng, A. J. Afifi, A. Ali, M. Yin, and J. Gao, Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research, vol. 55, no. 2. Springer Netherlands, 2022. doi: 10.1007/s10462-021-09985-z.
C. Yang, W. Wang, F. Li, and D. Yang, "An IoT-Based COVID-19 Prevention and Control System for Enclosed Spaces," Futur. Internet, vol. 14, no. 2, 2022, doi: 10.3390/fi14020040.
L. Unruh et al., "A comparison of 2020 health policy responses to the COVID-19 pandemic in Canada, Ireland, the United Kingdom and the United States of America," Health Policy (New. York)., vol. 126, no. 5, pp. 427-437, 2022, doi: 10.1016/j.healthpol.2021.06.012.
B. Katarina, F. J. Abraham, C. Mutimukwe, and R. Mugisha, "A Web-Based Program About Sustainable Development Goals Focusing on Digital Learning , Digital Health Literacy , and Nutrition for Professional Development in Ethiopia and Rwanda : Development of a Pedagogical Method Corresponding Author :," vol. 6, no. 12, doi: 10.2196/36585.
M. Dionisio, S. J. de Souza Junior, F. Paula, and P. C. Pellanda, "The role of digital social innovations to address SDGs: A systematic review," J. High Technol. Manag. Res., vol. 34, no. 1, 2023, doi: 10.1016/j.hitech.2022.100442.
Y. Dong and Y. D. Yao, "IoT platform for covid-19 prevention and control: A survey," IEEE Access, vol. 9, pp. 49929-49941, 2021, doi: 10.1109/ACCESS.2021.3068276.
D. Gupta, S. Bhatt, M. Gupta, and A. S. Tosun, "Future Smart Connected Communities to Fight COVID-19 Outbreak," Internet of Things (Netherlands), vol. 13, p. 100342, 2021, doi: 10.1016/j.iot.2020.100342.
J. P. Nyakuri et al., "IoT and AI Based Smart Soil Quality Assessment for Data-Driven Irrigation and Fertilization," Am. J. Comput. Eng., vol. 5, no. 2, pp. 1-14, 2022, doi: 10.47672/ajce.1232.
T. J. Claude, N. Gaudence, M. Didacienne, and N. J. Pierre, "Fuzzy logic applied to smart baby's health and feeding sequence monitoring system," Proc. - 2020 21st Int. Arab Conf. Inf. Technol. ACIT 2020, 2020, doi: 10.1109/ACIT50332.2020.9300087.
S. Kumar, C. Xu, N. Ghildayal, C. Chandra, and M. Yang, "Social media effectiveness as a humanitarian response to mitigate influenza epidemic and COVID-19 pandemic," Ann. Oper. Res., vol. 319, no. 1, pp. 823-851, 2021, doi: 10.1007/s10479-021-03955-y.
B. Lin et al., "Revealing the linguistic and geographical disparities of public awareness to Covid-19 outbreak through social media," Int. J. Digit. Earth, vol. 15, no. 1, pp. 868-889, 2022, doi: 10.1080/17538947.2022.2070677.
Y. Siriwardhana, C. De Alwis, G. Gur, M. Ylianttila, and M. Liyanage, "The Fight against the COVID-19 Pandemic with 5G Technologies," IEEE Eng. Manag. Rev., vol. 48, no. 3, pp. 72-84, 2020, doi: 10.1109/EMR.2020.3017451.
A. Asadzadeh, Z. Mohammadzadeh, Z. Fathifar, S. Jahangiri-Mirshekarlou, and P. Rezaei-Hachesu, "A framework for information technology-based management against COVID-19 in Iran," BMC Public Health, vol. 22, no. 1, pp. 1-15, 2022, doi: 10.1186/s12889-022-12781-1.
F. Vogt, B. Haire, L. Selvey, A. L. Katelaris, and J. Kaldor, "Effectiveness evaluation of digital contact tracing for COVID-19 in New South Wales, Australia," Lancet Public Heal., vol. 7, no. 3, pp. e250-e258, 2022, doi: 10.1016/S2468-2667(22)00010-X.
M. J. M. Chowdhury, M. S. Ferdous, K. Biswas, N. Chowdhury, and V. Muthukkumarasamy, "COVID-19 Contact Tracing: Challenges and Future Directions," IEEE Access, vol. 8, pp. 225703-225729, 2020, doi: 10.1109/ACCESS.2020.3036718.
C. Melo, S. Dixe, J. C. Fonseca, A. H. J. Moreira, and J. Borges, "Ai based monitoring of different risk levels in covid19 context," Sensors, vol. 22, no. 1, pp. 1-18, 2022, doi: 10.3390/s22010298.[22] H. Monitoring, "Contactless Measurement of Vital Signs Using Thermal and," 2022.
D. De Caprio et al., "Building a covid-19 vulnerability index," J. Med. Artif. Intell., vol. 3, no. December, pp. 1-12, 2020, doi: 10.21037/jmai-20-47.
"COMBATTING COVID-19 : ARTIFICIAL INTELLIGENCE TECHNOLOGIES & CHALLENGES," no. July, 2022, doi: 10.14293/S2199-1006.1.SOR-.PPVK63O.v1.
Q. V. Pham, D. C. Nguyen, T. Huynh-The, W. J. Hwang, and P. N. Pathirana, "Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts," IEEE Access, vol. 8, no. Cdc, pp. 130820-130839, 2020, doi: 10.1109/ACCESS.2020.3009328.
B. Varshini, H. Yogesh, S. D. Pasha, M. Suhail, V. Madhumitha, and A. Sasi, "IoT-Enabled smart doors for monitoring body temperature and face mask detection," Glob. Transitions Proc., vol. 2, no. 2, pp. 246-254, 2021, doi: 10.1016/j.gltp.2021.08.071.
D. D. Putra, M. Febriyanto, M. M. Nadra, W. Shalannanda, E. R. Firzal, and A. Munir, "Design of smart-gate based on artificial intelligence possibly for COVID-19 early prevention at public area," Proceeding 14th Int. Conf. Telecommun. Syst. Serv. Appl. TSSA 2020, pp. 2021-2024, 2020, doi: 10.1109/TSSA51342.2020.9310878.
T. Abuzairi, N. Imaniati Sumantri, A. Irfan, and R. Maulana Mohamad, "Infrared thermometer on the wall (iThermowall): An open source and 3-D print infrared thermometer for fever screening," HardwareX, vol. 9, p. e00168, 2021, doi: 10.1016/j.ohx.2020.e00168.
A. G. John, P. J. Thusnavis, M. Bella, I. S. Vasantha, and P. Sneha, "Internet of Things ( IoT ) based automated sanitizer dispenser and COVID "‘ 19 statistics reporter in a post "‘ pandemic world," Health Technol. (Berl)., 2023, doi: 10.1007/s12553-023-00728-4.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Nyakuri Jean Pierre, Harerimana Felix, Karanguza Francois, Niyomufasha Ghadi, Mirembe Jean D'Amour, Uwimana Jean Lambert, Habiyaremye Theogene, Ndayisenga Jean Claude, Bizimana Judith
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
