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An embedded toolset for human activity monitoring in critical environments
In many working and recreational activities, there are scenarios where both individual and collective safety have to be constantly checked and properly signaled, as occurring in dangerous workplaces or during pandemic events like the recent COVID-19 disease. From wearing personal protective equipmen...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990688/ https://www.ncbi.nlm.nih.gov/pubmed/35431465 http://dx.doi.org/10.1016/j.eswa.2022.117125 |
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author | Di Benedetto, Marco Carrara, Fabio Ciampi, Luca Falchi, Fabrizio Gennaro, Claudio Amato, Giuseppe |
author_facet | Di Benedetto, Marco Carrara, Fabio Ciampi, Luca Falchi, Fabrizio Gennaro, Claudio Amato, Giuseppe |
author_sort | Di Benedetto, Marco |
collection | PubMed |
description | In many working and recreational activities, there are scenarios where both individual and collective safety have to be constantly checked and properly signaled, as occurring in dangerous workplaces or during pandemic events like the recent COVID-19 disease. From wearing personal protective equipment to filling physical spaces with an adequate number of people, it is clear that a possibly automatic solution would help to check compliance with the established rules. Based on an off-the-shelf compact and low-cost hardware, we present a deployed real use-case embedded system capable of perceiving people’s behavior and aggregations and supervising the appliance of a set of rules relying on a configurable plug-in framework. Working on indoor and outdoor environments, we show that our implementation of counting people aggregations, measuring their reciprocal physical distances, and checking the proper usage of protective equipment is an effective yet open framework for monitoring human activities in critical conditions. |
format | Online Article Text |
id | pubmed-8990688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89906882022-04-11 An embedded toolset for human activity monitoring in critical environments Di Benedetto, Marco Carrara, Fabio Ciampi, Luca Falchi, Fabrizio Gennaro, Claudio Amato, Giuseppe Expert Syst Appl Article In many working and recreational activities, there are scenarios where both individual and collective safety have to be constantly checked and properly signaled, as occurring in dangerous workplaces or during pandemic events like the recent COVID-19 disease. From wearing personal protective equipment to filling physical spaces with an adequate number of people, it is clear that a possibly automatic solution would help to check compliance with the established rules. Based on an off-the-shelf compact and low-cost hardware, we present a deployed real use-case embedded system capable of perceiving people’s behavior and aggregations and supervising the appliance of a set of rules relying on a configurable plug-in framework. Working on indoor and outdoor environments, we show that our implementation of counting people aggregations, measuring their reciprocal physical distances, and checking the proper usage of protective equipment is an effective yet open framework for monitoring human activities in critical conditions. Elsevier Ltd. 2022-08-01 2022-04-08 /pmc/articles/PMC8990688/ /pubmed/35431465 http://dx.doi.org/10.1016/j.eswa.2022.117125 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Di Benedetto, Marco Carrara, Fabio Ciampi, Luca Falchi, Fabrizio Gennaro, Claudio Amato, Giuseppe An embedded toolset for human activity monitoring in critical environments |
title | An embedded toolset for human activity monitoring in critical environments |
title_full | An embedded toolset for human activity monitoring in critical environments |
title_fullStr | An embedded toolset for human activity monitoring in critical environments |
title_full_unstemmed | An embedded toolset for human activity monitoring in critical environments |
title_short | An embedded toolset for human activity monitoring in critical environments |
title_sort | embedded toolset for human activity monitoring in critical environments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990688/ https://www.ncbi.nlm.nih.gov/pubmed/35431465 http://dx.doi.org/10.1016/j.eswa.2022.117125 |
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