EEG-based cadets training and performance assessment system in maritime virtual simulator
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 a...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2021
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| Online Access: | https://hdl.handle.net/10356/146008 |
| _version_ | 1826118800550920192 |
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| author | Liu, Yisi Lan, Zirui Sourina, Olga Liew, Hui Ping Krishnan, Gopala Konovessis, Dimitrios Ang, Hock Eng |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Liu, Yisi Lan, Zirui Sourina, Olga Liew, Hui Ping Krishnan, Gopala Konovessis, Dimitrios Ang, Hock Eng |
| author_sort | Liu, Yisi |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T04:49:25Z |
| format | Conference Paper |
| id | ntu-10356/146008 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:49:25Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | ntu-10356/1460082021-01-23T20:11:14Z EEG-based cadets training and performance assessment system in maritime virtual simulator Liu, Yisi Lan, Zirui Sourina, Olga Liew, Hui Ping Krishnan, Gopala Konovessis, Dimitrios Ang, Hock Eng School of Mechanical and Aerospace Engineering 2018 International Conference on Cyberworlds (CW) Fraunhofer Singapore Engineering Human Factors EEG 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. National Research Foundation (NRF) Singapore Maritime Institute (SMI) Accepted version This 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. 2021-01-21T02:09:25Z 2021-01-21T02:09:25Z 2018 Conference Paper Liu, 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.2018.00047 9781538673157 https://hdl.handle.net/10356/146008 10.1109/CW.2018.00047 2-s2.0-85061432445 214 220 en © 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.2018.00047 application/pdf |
| spellingShingle | Engineering Human Factors EEG Liu, Yisi Lan, Zirui Sourina, Olga Liew, Hui Ping Krishnan, Gopala Konovessis, Dimitrios Ang, Hock Eng EEG-based cadets training and performance assessment system in maritime virtual simulator |
| title | EEG-based cadets training and performance assessment system in maritime virtual simulator |
| title_full | EEG-based cadets training and performance assessment system in maritime virtual simulator |
| title_fullStr | EEG-based cadets training and performance assessment system in maritime virtual simulator |
| title_full_unstemmed | EEG-based cadets training and performance assessment system in maritime virtual simulator |
| title_short | EEG-based cadets training and performance assessment system in maritime virtual simulator |
| title_sort | eeg based cadets training and performance assessment system in maritime virtual simulator |
| topic | Engineering Human Factors EEG |
| url | https://hdl.handle.net/10356/146008 |
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