Khullar, Vikas and Singh, Harjit Pal and Miró Vera, Yini Airet and Anand, Divya and Mohamed, Heba G. and Gupta, Deepali and Kumar, Navdeep and Goyal, Nitin UNSPECIFIED, UNSPECIFIED, yini.miro@uneatlantico.es, divya.anand@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) IoT Fog-Enabled Multi-Node Centralized Ecosystem for Real Time Screening and Monitoring of Health Information. Applied Sciences, 12 (19). p. 9845. ISSN 2076-3417
|
Text
applsci-12-09845-v3.pdf Available under License Creative Commons Attribution. Download (3MB) | Preview |
Abstract
In today’s technological and stressful world, when everyone is busy in their daily routines and places blind faith in pharmaceutical advancements to protect their health, the sudden, horrifying effects of the COVID-19 pandemic have resulted in serious emotional and psychological impacts in the general population. In spite of advanced vaccination campaigns, fear and hesitation have become a part of human life since there are a number of people who do not want to take these immunity boosting vaccinations. Such people may become carriers of infectious viruses, leading to a more rapid rate of spread; therefore, this class of spreaders needs to be screened at the earliest opportunity. In this context, there is a need for advanced health monitoring systems which can assist the pharmaceutical industry to monitor and record the health status of people. To address this need and reduce the uncertainty of the situation, this study has designed and tested an Internet of Things (IoT) and Fog computing-based multi-node architecture was for real-time initial screening and recording of such subjects. The proposed system was able to record current body temperature and location coordinates along with the facial images. Further, the proposed system was able to transmit data to a cloud database using internet-connected services. An implementation and reviews-based working environment analysis was conducted to determine the efficacy of the proposed system. It was observed from the statistical analysis that the proposed IoT Fog-enabled ecosystem could be utilized efficiently.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Internet of Things; fog computing; COVID-19; contactless; thermometer; facial image recording |
| Subjects: | Subjects > Engineering |
| Divisions: | Europe University of Atlantic > Research > Scientific Production Ibero-american International University > Research > Scientific Production |
| Depositing User: | Sr Bibliotecario |
| Date Deposited: | 17 Feb 2023 13:07 |
| Last Modified: | 12 Jul 2023 11:44 |
| URI: | http://repositorio.funiber.org/id/eprint/5930 |
Actions (login required)
 |
View Item |
