Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/145971
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dc.contributor.authorLiu, Yisien_US
dc.contributor.authorSubramaniam, Salem Chandrasekaran Hariharaen_US
dc.contributor.authorSourina, Olgaen_US
dc.contributor.authorLiew, Serene Hui Pingen_US
dc.contributor.authorKrishnan, Gopalaen_US
dc.contributor.authorKonovessis, Dimitriosen_US
dc.contributor.authorAng, Hock Engen_US
dc.date.accessioned2021-01-19T02:17:21Z-
dc.date.available2021-01-19T02:17:21Z-
dc.date.issued2017-
dc.identifier.citationLiu, Y., Subramaniam, S. C. H., Sourina, O., Liew, S. H. P., Krishnan, G., Konovessis, D., & Ang, H. E. (2017). EEG-based mental workload and stress recognition of crew members in maritime virtual simulator : a case study. Proceedings of the International Conference on Cyberworlds, 64(71). doi:10.1109/CW.2017.37en_US
dc.identifier.isbn9781538620892-
dc.identifier.urihttps://hdl.handle.net/10356/145971-
dc.description.abstractMany studies have shown that the majority of maritime accidents/incidents are attributed to human errors as the initiating cause. Efforts have been made to study human factors that can result in a safer maritime transportation. Among all techniques, Electroencephalogram (EEG) has the advantages such as high time resolution, possibility to continuously monitor brain states with high accuracy, recognition of human mental workload, emotion, stress, vigilance, etc. In this paper, we designed and carried out an experiment to collect the EEG signals to study stress and sharing of the mental workload among crew members during collaboration tasks performance on the ship's bridge virtual simulator. Four maritime trainees were monitored in the experiment. Each of them had a role such as an officer on watch, captain, pilot, or steersman. The results show that the captain had the highest stress and workload. However, the other three trainees experienced low workload and stress due to shared work and responsibility. The EEG is a promising evaluation tool to be used in the human factors study in the maritime domain.en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.description.sponsorshipSingapore Maritime Institute (SMI)en_US
dc.language.isoenen_US
dc.rights© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/CW.2017.37en_US
dc.subjectEngineering::Maritime studiesen_US
dc.titleEEG-based mental workload and stress recognition of crew members in maritime virtual simulator : a case studyen_US
dc.typeConference Paperen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.conference2017 International Conference on Cyberworlds (CW)en_US
dc.contributor.researchFraunhofer Singaporeen_US
dc.identifier.doi10.1109/CW.2017.37-
dc.description.versionAccepted versionen_US
dc.identifier.scopus2-s2.0-85043458267-
dc.identifier.spage64en_US
dc.identifier.epage71en_US
dc.subject.keywordsHuman Factorsen_US
dc.subject.keywordsElectroencephalographyen_US
dc.citation.conferencelocationChester, UKen_US
dc.description.acknowledgementThis research is supported by Singapore Maritime Institute and by the National Research Foundation, Prime Minister’s Office, Singapore under its International Research Centres in Singapore Funding Initiative. We would like to acknowledge the final year project students of School of MAE of Nanyang Technological University and personally Lee Jian Wei for his contribution in this work.en_US
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Appears in Collections:Fraunhofer Singapore Conference Papers

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