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EEG-based cadets training and performance assessment system in maritime virtual simulator

: Liu, Yisi; Lan, Zirui; Sourina, Olga; Konovessis, Dimitrios; Liew, Hui Ping; Krishnan, Gopala; Ang, Hock Eng


Sourin, A. ; Institute of Electrical and Electronics Engineers -IEEE-; European Association for Computer Graphics -EUROGRAPHICS-:
International Conference on Cyberworlds, CW 2018. Proceedings : Singapore, 3-5 October 2018
Piscataway, NJ: IEEE, 2018
ISBN: 978-1-5386-7315-7
ISBN: 978-1-5386-7316-4
International Conference on Cyberworlds (CW) <2018, Singapore>
Conference Paper
Fraunhofer Singapore ()
Lead Topic: Digitized Work; Research Line: Human computer interaction (HCI); Electroencephalography (EEG); human factors; Support vector machines (SVM); emotion recognition

Deep 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.