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Biometrics for Industry 4.0: a survey of recent applications

The Fourth Industrial Revolution, also known as Industry 4.0, represents the rise of digital industrial technology that is propagating at an exponential rate compared to the previous three revolutions. Interoperability is a basis of production, where there is a continuous exchange of information bet...

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Detalles Bibliográficos
Autores principales: Lucia, Cascone, Zhiwei, Gao, Michele, Nappi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10230486/
https://www.ncbi.nlm.nih.gov/pubmed/37360775
http://dx.doi.org/10.1007/s12652-023-04632-7
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author Lucia, Cascone
Zhiwei, Gao
Michele, Nappi
author_facet Lucia, Cascone
Zhiwei, Gao
Michele, Nappi
author_sort Lucia, Cascone
collection PubMed
description The Fourth Industrial Revolution, also known as Industry 4.0, represents the rise of digital industrial technology that is propagating at an exponential rate compared to the previous three revolutions. Interoperability is a basis of production, where there is a continuous exchange of information between machines and production units that act autonomously and intelligently. Workers play a central role in making autonomous decisions and using advanced technological tools. It may involve using measures that distinguish individuals, and their behaviours and reactions. Increasing the level of security, allowing only authorized personnel access to designated areas, and promoting worker welfare can have a positive impact on the entire assembly line. Thus, capturing biometric information, with or without individuals’ knowledge, could allow identity verification and monitoring of of their emotional and cognitive states during the daily actions of work life. From the study of the literature, we outline three macro categories in which the principles of Industry 4.0 are merged and the functionalities of biometric systems are exploited: security, health monitoring, and quality work life analysis. In this review, we present an overview of all biometric features used in the context of Industry 4.0 with a focus on their advantages, limitations, and practical use. Attention is also paid to future research directions for which new answers are being explored.
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spelling pubmed-102304862023-06-01 Biometrics for Industry 4.0: a survey of recent applications Lucia, Cascone Zhiwei, Gao Michele, Nappi J Ambient Intell Humaniz Comput Original Research The Fourth Industrial Revolution, also known as Industry 4.0, represents the rise of digital industrial technology that is propagating at an exponential rate compared to the previous three revolutions. Interoperability is a basis of production, where there is a continuous exchange of information between machines and production units that act autonomously and intelligently. Workers play a central role in making autonomous decisions and using advanced technological tools. It may involve using measures that distinguish individuals, and their behaviours and reactions. Increasing the level of security, allowing only authorized personnel access to designated areas, and promoting worker welfare can have a positive impact on the entire assembly line. Thus, capturing biometric information, with or without individuals’ knowledge, could allow identity verification and monitoring of of their emotional and cognitive states during the daily actions of work life. From the study of the literature, we outline three macro categories in which the principles of Industry 4.0 are merged and the functionalities of biometric systems are exploited: security, health monitoring, and quality work life analysis. In this review, we present an overview of all biometric features used in the context of Industry 4.0 with a focus on their advantages, limitations, and practical use. Attention is also paid to future research directions for which new answers are being explored. Springer Berlin Heidelberg 2023-05-31 /pmc/articles/PMC10230486/ /pubmed/37360775 http://dx.doi.org/10.1007/s12652-023-04632-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research
Lucia, Cascone
Zhiwei, Gao
Michele, Nappi
Biometrics for Industry 4.0: a survey of recent applications
title Biometrics for Industry 4.0: a survey of recent applications
title_full Biometrics for Industry 4.0: a survey of recent applications
title_fullStr Biometrics for Industry 4.0: a survey of recent applications
title_full_unstemmed Biometrics for Industry 4.0: a survey of recent applications
title_short Biometrics for Industry 4.0: a survey of recent applications
title_sort biometrics for industry 4.0: a survey of recent applications
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10230486/
https://www.ncbi.nlm.nih.gov/pubmed/37360775
http://dx.doi.org/10.1007/s12652-023-04632-7
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