Revolving traditional EEG device into mobile architecture

This Electroencephalogram (EEG) has been widely used to capture brain signals for affective recognition through computational modelling of affective states based on valence, arousal and dominance. Not until recently wireless EEG machines are introduced to record brain signals during physical activit...

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Main Authors:	Muhd Adnan, Hafizuddin, Yaacob, Hamwira Sakti, Abdul Rahman, Abdul Wahab, Othman, Marini
Format:	Conference or Workshop Item
Language:	English English
Published:	The Institute of Electrical and Electronics Engineers, Inc. 2016
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/50461/ http://irep.iium.edu.my/50461/ http://irep.iium.edu.my/50461/ http://irep.iium.edu.my/50461/1/50461_Revolving%20traditional%20EEG.pdf http://irep.iium.edu.my/50461/2/50461_Revolving%20traditional%20EEG_SCOPUS.pdf

id	iium-50461
recordtype	eprints
spelling	iium-504612017-03-13T01:51:23Z http://irep.iium.edu.my/50461/ Revolving traditional EEG device into mobile architecture Muhd Adnan, Hafizuddin Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab Othman, Marini QA75 Electronic computers. Computer science This Electroencephalogram (EEG) has been widely used to capture brain signals for affective recognition through computational modelling of affective states based on valence, arousal and dominance. Not until recently wireless EEG machines are introduced to record brain signals during physical activities and high range of mobility. Nevertheless, such devices are expensive. Therefore, the aim of this study is to design a mobile EEG systems using an existing stationary EEG amplifier, EXG Brainmarker. The main component for the proposed mobile EEG system are the electrodes cap connected to EXG Brainmarker which will be powered up using portable rechargeable battery, Surface tablet to record and store EEG signals, Portable Wi-Fi device as a medium for remotely connection to monitor the Surface tablet. The proposed EEG mobile system was tested in a Simulation Centre at Akademi Laut Malaysia (ALAM). The data was obtained from three marine pilot who were given tasks to navigate ships in the simulated scenes. Findings and observations from the experiment are reported in this paper. It was also observed that there are several common movements took place when maneuvering the ship such as lift up their hand, turn their head to left and right and a few steps walking. The Institute of Electrical and Electronics Engineers, Inc. 2016-11 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/50461/1/50461_Revolving%20traditional%20EEG.pdf application/pdf en http://irep.iium.edu.my/50461/2/50461_Revolving%20traditional%20EEG_SCOPUS.pdf Muhd Adnan, Hafizuddin and Yaacob, Hamwira Sakti and Abdul Rahman, Abdul Wahab and Othman, Marini (2016) Revolving traditional EEG device into mobile architecture. In: 2016 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M 2016), 22nd-24th Nov. 2016, Jakarta, Indonesia. http://ieeexplore.ieee.org/document/7814888/ 10.1109/ICT4M.2016.035
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Muhd Adnan, Hafizuddin Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab Othman, Marini Revolving traditional EEG device into mobile architecture
description	This Electroencephalogram (EEG) has been widely used to capture brain signals for affective recognition through computational modelling of affective states based on valence, arousal and dominance. Not until recently wireless EEG machines are introduced to record brain signals during physical activities and high range of mobility. Nevertheless, such devices are expensive. Therefore, the aim of this study is to design a mobile EEG systems using an existing stationary EEG amplifier, EXG Brainmarker. The main component for the proposed mobile EEG system are the electrodes cap connected to EXG Brainmarker which will be powered up using portable rechargeable battery, Surface tablet to record and store EEG signals, Portable Wi-Fi device as a medium for remotely connection to monitor the Surface tablet. The proposed EEG mobile system was tested in a Simulation Centre at Akademi Laut Malaysia (ALAM). The data was obtained from three marine pilot who were given tasks to navigate ships in the simulated scenes. Findings and observations from the experiment are reported in this paper. It was also observed that there are several common movements took place when maneuvering the ship such as lift up their hand, turn their head to left and right and a few steps walking.
format	Conference or Workshop Item
author	Muhd Adnan, Hafizuddin Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab Othman, Marini
author_facet	Muhd Adnan, Hafizuddin Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab Othman, Marini
author_sort	Muhd Adnan, Hafizuddin
title	Revolving traditional EEG device into mobile architecture
title_short	Revolving traditional EEG device into mobile architecture
title_full	Revolving traditional EEG device into mobile architecture
title_fullStr	Revolving traditional EEG device into mobile architecture
title_full_unstemmed	Revolving traditional EEG device into mobile architecture
title_sort	revolving traditional eeg device into mobile architecture
publisher	The Institute of Electrical and Electronics Engineers, Inc.
publishDate	2016
url	http://irep.iium.edu.my/50461/ http://irep.iium.edu.my/50461/ http://irep.iium.edu.my/50461/ http://irep.iium.edu.my/50461/1/50461_Revolving%20traditional%20EEG.pdf http://irep.iium.edu.my/50461/2/50461_Revolving%20traditional%20EEG_SCOPUS.pdf
first_indexed	2023-09-18T21:11:20Z
last_indexed	2023-09-18T21:11:20Z
_version_	1777411272581578752

Revolving traditional EEG device into mobile architecture

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