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...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
The Institute of Electrical and Electronics Engineers, Inc.
2016
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| Online Access: | 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 |
| _version_ | 1825649657165905920 |
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| 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 |
| collection | IIUM |
| 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. |
| first_indexed | 2024-03-05T23:50:46Z |
| format | Proceeding Paper |
| id | oai:generic.eprints.org:50461 |
| institution | International Islamic University Malaysia |
| language | English English |
| last_indexed | 2024-03-05T23:50:46Z |
| publishDate | 2016 |
| publisher | The Institute of Electrical and Electronics Engineers, Inc. |
| record_format | dspace |
| spelling | oai:generic.eprints.org: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 Proceeding Paper 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 |
| 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 |
| title | 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_short | Revolving traditional EEG device into mobile architecture |
| title_sort | revolving traditional eeg device into mobile architecture |
| topic | QA75 Electronic computers. Computer science |
| url | 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 |
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