Human emotions classification and EEG channel reduction: A review
The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malay...
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Universiti Malaysia Perlis (UniMAP)
2013
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my.unimap-307692013-12-23T05:15:27Z Human emotions classification and EEG channel reduction: A review Intan Farlina Zaimatulaili, Mohd Idris Murugappan, M., Dr. Wan Khairunizam, Wan Ahmad, Dr. intanfarlina@yahoo.com murugappan@unimap.edu.my khairunizam@unimap.edu.my Emotions Brain-Computer Interface (BCI) Electroencephalograph (EEG) Human Brain The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia. Brain signals are collected from the human scalp through a set of electrodes placed over the entire scalp. In recent years, the researchers are using higher number of Electroencephalography (EEG) channels to collect the brain signal activity to develop Human Computer Interface (HCI) or Brain Computer Interface (BCI) systems. Using larger number of electrodes gives higher accuracy at the cost of losing lesser computational time, higher memory requirement and increasing subject burden. In order to overcome this problem, a channel reduction algorithm is proposed for reducing the number of active channels without reducing the performance of the systems. The key idea behind this channel reduction is lies on finding the brain region or common brain region which act as emotional centre for assessing all different types of emotional activity of human. Therefore, a reduction to a number of channels which carry the same information with less time for computing and feature extraction is necessary. 2013-12-23T05:15:27Z 2013-12-23T05:15:27Z 2012-06-18 Working Paper p. 404 - 411 978-967-5760-11-2 http://hdl.handle.net/123456789/30769 en Proceedings of the The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012); Universiti Malaysia Perlis (UniMAP) |
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Emotions Brain-Computer Interface (BCI) Electroencephalograph (EEG) Human Brain Intan Farlina Zaimatulaili, Mohd Idris Murugappan, M., Dr. Wan Khairunizam, Wan Ahmad, Dr. Human emotions classification and EEG channel reduction: A review |
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The 2nd
International Malaysia-Ireland Joint
Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia. |
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intanfarlina@yahoo.com |
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intanfarlina@yahoo.com Intan Farlina Zaimatulaili, Mohd Idris Murugappan, M., Dr. Wan Khairunizam, Wan Ahmad, Dr. |
format |
Working Paper |
author |
Intan Farlina Zaimatulaili, Mohd Idris Murugappan, M., Dr. Wan Khairunizam, Wan Ahmad, Dr. |
author_sort |
Intan Farlina Zaimatulaili, Mohd Idris |
title |
Human emotions classification and EEG channel reduction: A review |
title_short |
Human emotions classification and EEG channel reduction: A review |
title_full |
Human emotions classification and EEG channel reduction: A review |
title_fullStr |
Human emotions classification and EEG channel reduction: A review |
title_full_unstemmed |
Human emotions classification and EEG channel reduction: A review |
title_sort |
human emotions classification and eeg channel reduction: a review |
publisher |
Universiti Malaysia Perlis (UniMAP) |
publishDate |
2013 |
url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/30769 |
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1643795597073842176 |
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13.226497 |