AUTOMOTIVE

Esteves, Telma; Pinto, João Ribeiro; Ferreira, Pedro M.; Costa, Pedro Amaro; Rodrigues, Lourenço Abrunhosa; Antunes, Inês; Lopes, Gabriel; Gamito, Pedro; Abrantes, Arnaldo J.; Jorge, Pedro M.; Lourenço, Andre; Sequeira, Ana F.; Cardoso, Jaime S.; Rebelo, Ana

AUTOMOTIVE

Detalhes bibliográficos
Autor(a) principal:	Esteves, Telma
Data de Publicação:	2021
Outros Autores:	Pinto, João Ribeiro, Ferreira, Pedro M., Costa, Pedro Amaro, Rodrigues, Lourenço Abrunhosa, Antunes, Inês, Lopes, Gabriel, Gamito, Pedro, Abrantes, Arnaldo J., Jorge, Pedro M., Lourenço, Andre, Sequeira, Ana F., Cardoso, Jaime S., Rebelo, Ana
Tipo de documento:	Artigo
Idioma:	eng
Título da fonte:	Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo:	http://hdl.handle.net/10362/142597
Resumo:	Publisher Copyright: © 2013 IEEE.

Metadados do item

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spelling	AUTOMOTIVEA Case Study on AUTOmatic multiMOdal Drowsiness detecTIon for smart VEhiclesBiometricsbiosignalscomputer visiondatadriverdrowsinesssimulatorvehiclesComputer Science(all)Materials Science(all)Engineering(all)Electrical and Electronic EngineeringPublisher Copyright: © 2013 IEEE.As technology and artificial intelligence conquer a place under the spotlight in the automotive world, driver drowsiness monitoring systems have sparked much interest as a way to increase safety and avoid sleepiness-related accidents. Such technologies, however, stumble upon the observation that each driver presents a distinct set of behavioral and physiological manifestations of drowsiness, thus rendering its objective assessment a non-trivial process. The AUTOMOTIVE project studied the application of signal processing and machine learning techniques for driver-specific drowsiness detection in smart vehicles, enabled by immersive driving simulators. More broadly, comprehensive research on biometrics using the electrocardiogram (ECG) and face enables the continuous learning of subject-specific models of drowsiness for more efficient monitoring. This paper aims to offer a holistic but comprehensive view of the research and development work conducted for the AUTOMOTIVE project across the various addressed topics and how it ultimately brings us closer to the target of improved driver drowsiness monitoring.DF – Departamento de FísicaRUNEsteves, TelmaPinto, João RibeiroFerreira, Pedro M.Costa, Pedro AmaroRodrigues, Lourenço AbrunhosaAntunes, InêsLopes, GabrielGamito, PedroAbrantes, Arnaldo J.Jorge, Pedro M.Lourenço, AndreSequeira, Ana F.Cardoso, Jaime S.Rebelo, Ana2022-07-28T22:24:35Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article23application/pdfhttp://hdl.handle.net/10362/142597eng2169-3536PURE: 45662740https://doi.org/10.1109/ACCESS.2021.3128016info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:20:23Zoai:run.unl.pt:10362/142597Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:50:24.788787Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv	AUTOMOTIVE A Case Study on AUTOmatic multiMOdal Drowsiness detecTIon for smart VEhicles
title	AUTOMOTIVE
spellingShingle	AUTOMOTIVE Esteves, Telma Biometrics biosignals computer vision data driver drowsiness simulator vehicles Computer Science(all) Materials Science(all) Engineering(all) Electrical and Electronic Engineering
title_short	AUTOMOTIVE
title_full	AUTOMOTIVE
title_fullStr	AUTOMOTIVE
title_full_unstemmed	AUTOMOTIVE
title_sort	AUTOMOTIVE
author	Esteves, Telma
author_facet	Esteves, Telma Pinto, João Ribeiro Ferreira, Pedro M. Costa, Pedro Amaro Rodrigues, Lourenço Abrunhosa Antunes, Inês Lopes, Gabriel Gamito, Pedro Abrantes, Arnaldo J. Jorge, Pedro M. Lourenço, Andre Sequeira, Ana F. Cardoso, Jaime S. Rebelo, Ana
author_role	author
author2	Pinto, João Ribeiro Ferreira, Pedro M. Costa, Pedro Amaro Rodrigues, Lourenço Abrunhosa Antunes, Inês Lopes, Gabriel Gamito, Pedro Abrantes, Arnaldo J. Jorge, Pedro M. Lourenço, Andre Sequeira, Ana F. Cardoso, Jaime S. Rebelo, Ana
author2_role	author author author author author author author author author author author author author
dc.contributor.none.fl_str_mv	DF – Departamento de Física RUN
dc.contributor.author.fl_str_mv	Esteves, Telma Pinto, João Ribeiro Ferreira, Pedro M. Costa, Pedro Amaro Rodrigues, Lourenço Abrunhosa Antunes, Inês Lopes, Gabriel Gamito, Pedro Abrantes, Arnaldo J. Jorge, Pedro M. Lourenço, Andre Sequeira, Ana F. Cardoso, Jaime S. Rebelo, Ana
dc.subject.por.fl_str_mv	Biometrics biosignals computer vision data driver drowsiness simulator vehicles Computer Science(all) Materials Science(all) Engineering(all) Electrical and Electronic Engineering
topic	Biometrics biosignals computer vision data driver drowsiness simulator vehicles Computer Science(all) Materials Science(all) Engineering(all) Electrical and Electronic Engineering
description	Publisher Copyright: © 2013 IEEE.
publishDate	2021
dc.date.none.fl_str_mv	2021 2021-01-01T00:00:00Z 2022-07-28T22:24:35Z
dc.type.status.fl_str_mv	info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv	http://hdl.handle.net/10362/142597
url	http://hdl.handle.net/10362/142597
dc.language.iso.fl_str_mv	eng
language	eng
dc.relation.none.fl_str_mv	2169-3536 PURE: 45662740 https://doi.org/10.1109/ACCESS.2021.3128016
dc.rights.driver.fl_str_mv	info:eu-repo/semantics/openAccess
eu_rights_str_mv	openAccess
dc.format.none.fl_str_mv	23 application/pdf
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repository.name.fl_str_mv	Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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AUTOMOTIVE

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