eprintid: 5930 rev_number: 9 eprint_status: archive userid: 2 dir: disk0/00/00/59/30 datestamp: 2023-02-17 23:30:12 lastmod: 2023-07-12 23:31:26 status_changed: 2023-02-17 23:30:12 type: article metadata_visibility: show creators_name: Khullar, Vikas creators_name: Singh, Harjit Pal creators_name: Miró Vera, Yini Airet creators_name: Anand, Divya creators_name: Mohamed, Heba G. creators_name: Gupta, Deepali creators_name: Kumar, Navdeep creators_name: Goyal, Nitin creators_id: creators_id: creators_id: yini.miro@uneatlantico.es creators_id: divya.anand@uneatlantico.es creators_id: creators_id: creators_id: creators_id: title: IoT Fog-Enabled Multi-Node Centralized Ecosystem for Real Time Screening and Monitoring of Health Information ispublished: pub subjects: uneat_eng divisions: uneatlantico_produccion_cientifica divisions: uninimx_produccion_cientifica full_text_status: public keywords: Internet of Things; fog computing; COVID-19; contactless; thermometer; facial image recording 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. date: 2022-09 publication: Applied Sciences volume: 12 number: 19 pagerange: 9845 id_number: doi:10.3390/app12199845 refereed: TRUE issn: 2076-3417 official_url: http://doi.org/10.3390/app12199845 access: open language: en citation: Artículo Materias > Ingeniería Universidad Europea del Atlántico > Investigación > Producción Científica Universidad Internacional Iberoamericana México > Investigación > Producción Científica Abierto Inglés 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. metadata Khullar, Vikas; Singh, Harjit Pal; Miró Vera, Yini Airet; Anand, Divya; Mohamed, Heba G.; Gupta, Deepali; Kumar, Navdeep y Goyal, Nitin mail SIN ESPECIFICAR, SIN ESPECIFICAR, yini.miro@uneatlantico.es, divya.anand@uneatlantico.es, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR (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 document_url: http://repositorio.uneatlantico.es/id/eprint/5930/1/applsci-12-09845-v3.pdf