Affiliation:
1. Faculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, Slovakia
Abstract
High hygiene standards were established during the COVID-19 epidemic, and their adherence was closely monitored. They included the need to regularly wash one’s hands and the requirement to cover person’s upper airways or keep at least a two-meter space between individuals. The ITS (Information Technology Systems) community made a big contribution to this by developing methods and applications for the ongoing observation of people and the environment. Our major objective was to create a low-cost, straightforward system for tracking and assessing the danger of spreading COVID-19 in a space.The proposed system collects data from various low-cost environmental sensors such as temperature, humidity, CO2, the number of people, the dynamics of speech, and the cleanliness of the environment with a significant connection to elements of wearable electronics and then evaluate the level of contamination and possible risks and, in the event of a high level of risk, alerts the person to take actions that can reduce or eliminate favourable conditions for the spread of the virus. The system was created at the Laboratory of industrial control systems of the University of Žilina, Slovakia. The experiment demonstrates the ability and feasibility to control the number of people in a space depending on particular symptoms like fever, coughing, and hand hygiene. On the other hand, the laboratory’s temperature, humidity, and air quality should be controlled to reduce the spread of illness.
Funder
Operational Program Integrated Infrastructure
Subject
Artificial Intelligence,Applied Mathematics,Industrial and Manufacturing Engineering,Human-Computer Interaction,Information Systems,Control and Systems Engineering
Reference23 articles.
1. An overview on the role of relative humidity in airborne transmission of SARS-CoV-2 in indoor environments;Ahlawat;Aerosol Air Qual. Res.,2020
2. Grant, M.C., Geoghegan, L., Arbyn, M., Mohammed, Z., McGuinness, L., Clarke, E.L., and Wade, R.G. (2020). The prevalence of symptoms in 24,410 adults infected by the novel coronavirus (SARS-CoV-2; COVID-19): A systematic review and meta-analysis of 148 studies from 9 countries. PLoS ONE, 15.
3. Islam, M.A., Kundu, S., Alam, S.S., Hossan, T., Kamal, M.A., and Hassan, R. (2021). Prevalence and characteristics of fever in adult and paediatric patients with coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis of 17515 patients. PLoS ONE, 16.
4. Smart epidemic tunnel: IoT-based sensor-fusion assistive technology for COVID-19 disinfection;Pandya;Int. J. Pervasive Comput. Commun.,2022
5. Detection and monitoring of the asymptotic COVID-19 patients using IoT devices and sensors;Arun;Int. J. Pervasive Comput. Commun.,2020
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