EEG based cognitive abilities assessment in maritime

Even though safety on board ships have been enhanced, there are still a lot of casualties in the Maritime domain. About 85% of marine accident was caused by human error. Therefore, the Maritime domain has looked into the need to research and study on human factors affecting Maritime. A partnership b...

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Main Author: Ng, Melville Yong Fong
Other Authors: Olga Sourina
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/75318
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-753182023-03-04T18:37:28Z EEG based cognitive abilities assessment in maritime Ng, Melville Yong Fong Olga Sourina Ang Hock Eng School of Mechanical and Aerospace Engineering Fraunhofer Singapore DRNTU::Engineering Even though safety on board ships have been enhanced, there are still a lot of casualties in the Maritime domain. About 85% of marine accident was caused by human error. Therefore, the Maritime domain has looked into the need to research and study on human factors affecting Maritime. A partnership between Singapore Maritime Academy (SMA), Nanyang Technological University and Fraunhofer IDM aims to investigate human factors by using EEG brain state monitoring technology. Experiment are conducted at SMA bridge simulator, which creates similar sailing environment on the sea, to validate the reliability of EEG technology. A total of 18 subjects participated in exercises with 4 different scenarios and as the difficulty level in the task gets higher, the EEG data is recorded using Emotiv Epoch wireless headsets. After it is recorded, the EEG data would be processed using machine learning algorithms to detect emotion and workload. The EEG data will then be processed through a new algorithm as the new algorithm is able to filter out and identify if the cadets are ready for real sea situation. Bachelor of Engineering (Mechanical Engineering) 2018-05-30T09:01:25Z 2018-05-30T09:01:25Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75318 en Nanyang Technological University 55 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Ng, Melville Yong Fong
EEG based cognitive abilities assessment in maritime
description Even though safety on board ships have been enhanced, there are still a lot of casualties in the Maritime domain. About 85% of marine accident was caused by human error. Therefore, the Maritime domain has looked into the need to research and study on human factors affecting Maritime. A partnership between Singapore Maritime Academy (SMA), Nanyang Technological University and Fraunhofer IDM aims to investigate human factors by using EEG brain state monitoring technology. Experiment are conducted at SMA bridge simulator, which creates similar sailing environment on the sea, to validate the reliability of EEG technology. A total of 18 subjects participated in exercises with 4 different scenarios and as the difficulty level in the task gets higher, the EEG data is recorded using Emotiv Epoch wireless headsets. After it is recorded, the EEG data would be processed using machine learning algorithms to detect emotion and workload. The EEG data will then be processed through a new algorithm as the new algorithm is able to filter out and identify if the cadets are ready for real sea situation.
author2 Olga Sourina
author_facet Olga Sourina
Ng, Melville Yong Fong
format Final Year Project
author Ng, Melville Yong Fong
author_sort Ng, Melville Yong Fong
title EEG based cognitive abilities assessment in maritime
title_short EEG based cognitive abilities assessment in maritime
title_full EEG based cognitive abilities assessment in maritime
title_fullStr EEG based cognitive abilities assessment in maritime
title_full_unstemmed EEG based cognitive abilities assessment in maritime
title_sort eeg based cognitive abilities assessment in maritime
publishDate 2018
url http://hdl.handle.net/10356/75318
_version_ 1759857512241168384