Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/146008
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dc.contributor.authorLiu, Yisien_US
dc.contributor.authorLan, Ziruien_US
dc.contributor.authorSourina, Olgaen_US
dc.contributor.authorLiew, Hui Pingen_US
dc.contributor.authorKrishnan, Gopalaen_US
dc.contributor.authorKonovessis, Dimitriosen_US
dc.contributor.authorAng, Hock Engen_US
dc.date.accessioned2021-01-21T02:09:25Z-
dc.date.available2021-01-21T02:09:25Z-
dc.date.issued2018-
dc.identifier.citationLiu, Y., Lan, Z., Sourina, O., Liew, H. P., Krishnan, G., Konovessis, D., & Ang, H. E. (2018). EEG-based cadets training and performance assessment system in maritime virtual simulator. Proceedings of the International Conference on Cyberworlds, 214-220. doi:10.1109/CW.2018.00047en_US
dc.identifier.isbn9781538673157-
dc.identifier.urihttps://hdl.handle.net/10356/146008-
dc.description.abstractDeep investment in the maritime industries has led to many cutting edge technological advances in shipping navigation and operational safety to ensure safe and efficient logistical transportations. However, even with the best technology equipped onboard, maritime accidents are still occurring with at least three quarters of them attributed to human errors. Due to the rising need to address the human factors in shipping operations, various human factors studies are conducted in maritime domain. In this paper, an Electroencephalogram (EEG)-based cadets training and performance assessment system is proposed and implemented that could be used in the maritime virtual simulator. The system includes an EEG processing and analyses part and an evaluation part. It could recognize the brain states such as mental workload, emotions, and stress from raw EEG signal recorded during the exercises in the simulator and then give an indicative recommendation on "pass", "retrain", or "fail" of the cadet based on the EEG recognition results and input of the level of the task difficulty performed.en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.description.sponsorshipSingapore Maritime Institute (SMI)en_US
dc.language.isoenen_US
dc.rights© 2018 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.2018.00047en_US
dc.subjectEngineeringen_US
dc.titleEEG-based cadets training and performance assessment system in maritime virtual simulatoren_US
dc.typeConference Paperen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.conference2018 International Conference on Cyberworlds (CW)en_US
dc.contributor.researchFraunhofer Singaporeen_US
dc.identifier.doi10.1109/CW.2018.00047-
dc.description.versionAccepted versionen_US
dc.identifier.scopus2-s2.0-85061432445-
dc.identifier.spage214en_US
dc.identifier.epage220en_US
dc.subject.keywordsHuman Factorsen_US
dc.subject.keywordsEEGen_US
dc.citation.conferencelocationSingaporeen_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.en_US
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Appears in Collections:Fraunhofer Singapore Conference Papers
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