Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/145971
Title: EEG-based mental workload and stress recognition of crew members in maritime virtual simulator : a case study
Authors: Liu, Yisi
Subramaniam, Salem Chandrasekaran Harihara
Sourina, Olga
Liew, Serene Hui Ping
Krishnan, Gopala
Konovessis, Dimitrios
Ang, Hock Eng
Keywords: Engineering::Maritime studies
Issue Date: 2017
Source: Liu, 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.2017.37
Abstract: Many 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.
URI: https://hdl.handle.net/10356/145971
ISBN: 9781538620892
DOI: 10.1109/CW.2017.37
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.2017.37
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:Fraunhofer Singapore Conference Papers

SCOPUSTM   
Citations 20

14
Updated on Nov 25, 2022

Web of ScienceTM
Citations 20

12
Updated on Nov 29, 2022

Page view(s)

262
Updated on Nov 29, 2022

Download(s) 50

122
Updated on Nov 29, 2022

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.