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dc.contributor.authorIntan Farlina Zaimatulaili, Mohd Idris
dc.contributor.authorMurugappan, M., Dr.
dc.contributor.authorWan Khairunizam, Wan Ahmad, Dr.
dc.date.accessioned2013-12-23T05:15:27Z
dc.date.available2013-12-23T05:15:27Z
dc.date.issued2012-06-18
dc.identifier.citationp. 404 - 411en_US
dc.identifier.isbn978-967-5760-11-2
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/30769
dc.descriptionThe 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.en_US
dc.description.abstractBrain 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.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012);
dc.subjectEmotionsen_US
dc.subjectBrain-Computer Interface (BCI)en_US
dc.subjectElectroencephalograph (EEG)en_US
dc.subjectHuman Brainen_US
dc.titleHuman emotions classification and EEG channel reduction: A reviewen_US
dc.typeWorking Paperen_US
dc.contributor.urlintanfarlina@yahoo.comen_US
dc.contributor.urlmurugappan@unimap.edu.myen_US
dc.contributor.urlkhairunizam@unimap.edu.myen_US


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