Cargando…

Integration of IoT Sensors to Determine Life Expectancy of Face Masks

Personal protective equipment (PPE) is widely used around the world to protect against environmental hazards. With the emergence of the COVID-19 virus, the use of PPE domestically has increased dramatically. People use preventive and protective mechanisms now more than ever, leading to the important...

Descripción completa

Detalles Bibliográficos
Autores principales: Ratnayake Mudiyanselage, Vilanya, Lee, Kevin, Hassani, Alireza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738429/
https://www.ncbi.nlm.nih.gov/pubmed/36502164
http://dx.doi.org/10.3390/s22239463
_version_ 1784847540331479040
author Ratnayake Mudiyanselage, Vilanya
Lee, Kevin
Hassani, Alireza
author_facet Ratnayake Mudiyanselage, Vilanya
Lee, Kevin
Hassani, Alireza
author_sort Ratnayake Mudiyanselage, Vilanya
collection PubMed
description Personal protective equipment (PPE) is widely used around the world to protect against environmental hazards. With the emergence of the COVID-19 virus, the use of PPE domestically has increased dramatically. People use preventive and protective mechanisms now more than ever, leading to the important question of how protective is the PPE that is being used. Face masks are highly recommended or mandatory during the time of the COVID-19 pandemic due to their protective features against aerosol droplets. However, an issue faced by many users of face masks is that they are entirely manual, with users having to decide for themselves whether their mask is still protective or if they should replace their mask. Due to the difficulty in determining this, people tend to overuse masks beyond their optimal usage. The research presented in this paper is an investigation of the viability of integrating IoT sensors into masks that are capable of collecting data to determine its usage. This paper demonstrates the usage of humidity and temperature sensors for the purpose of determining a mask’s usage status based on changes in these variables when a mask is put on and taken off. An evaluation was made on the usage of the two sensors, with the conclusion that a humidity sensor provides more accurate results. From this, we present a framework that takes into consideration the factors that affect a mask’s performance, such as time, humidity and temperature, to calculate the life expectancy of a mask.
format Online
Article
Text
id pubmed-9738429
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-97384292022-12-11 Integration of IoT Sensors to Determine Life Expectancy of Face Masks Ratnayake Mudiyanselage, Vilanya Lee, Kevin Hassani, Alireza Sensors (Basel) Article Personal protective equipment (PPE) is widely used around the world to protect against environmental hazards. With the emergence of the COVID-19 virus, the use of PPE domestically has increased dramatically. People use preventive and protective mechanisms now more than ever, leading to the important question of how protective is the PPE that is being used. Face masks are highly recommended or mandatory during the time of the COVID-19 pandemic due to their protective features against aerosol droplets. However, an issue faced by many users of face masks is that they are entirely manual, with users having to decide for themselves whether their mask is still protective or if they should replace their mask. Due to the difficulty in determining this, people tend to overuse masks beyond their optimal usage. The research presented in this paper is an investigation of the viability of integrating IoT sensors into masks that are capable of collecting data to determine its usage. This paper demonstrates the usage of humidity and temperature sensors for the purpose of determining a mask’s usage status based on changes in these variables when a mask is put on and taken off. An evaluation was made on the usage of the two sensors, with the conclusion that a humidity sensor provides more accurate results. From this, we present a framework that takes into consideration the factors that affect a mask’s performance, such as time, humidity and temperature, to calculate the life expectancy of a mask. MDPI 2022-12-03 /pmc/articles/PMC9738429/ /pubmed/36502164 http://dx.doi.org/10.3390/s22239463 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ratnayake Mudiyanselage, Vilanya
Lee, Kevin
Hassani, Alireza
Integration of IoT Sensors to Determine Life Expectancy of Face Masks
title Integration of IoT Sensors to Determine Life Expectancy of Face Masks
title_full Integration of IoT Sensors to Determine Life Expectancy of Face Masks
title_fullStr Integration of IoT Sensors to Determine Life Expectancy of Face Masks
title_full_unstemmed Integration of IoT Sensors to Determine Life Expectancy of Face Masks
title_short Integration of IoT Sensors to Determine Life Expectancy of Face Masks
title_sort integration of iot sensors to determine life expectancy of face masks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738429/
https://www.ncbi.nlm.nih.gov/pubmed/36502164
http://dx.doi.org/10.3390/s22239463
work_keys_str_mv AT ratnayakemudiyanselagevilanya integrationofiotsensorstodeterminelifeexpectancyoffacemasks
AT leekevin integrationofiotsensorstodeterminelifeexpectancyoffacemasks
AT hassanialireza integrationofiotsensorstodeterminelifeexpectancyoffacemasks