Brainwaves feature classification by applying K-Means clustering using single-sensor EEG

International Journal of Advances in Intelligent Informatics

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Field Value
 
Title Brainwaves feature classification by applying K-Means clustering using single-sensor EEG
 
Creator Azhari, Ahmad
Hernandez, Leonel
 
Subject EEG; Brainwaves; Cognitive Task; Kmeans Clustering
 
Description The use of brainwave signal is a step in the introduction of the individual identity using biometric technology based on characteristics of the body. Brainwave signal has unique characteristics and different on each individual because the brainwave cannot be read or copied by people so it is not possible to have a similarity of one person with another person. To be able to process the identification of individual characteristics, which obtained from the signal brainwave, required a pattern of brain activity that is prominent and constant. Cognitive activity testing using a single-sensor EEG (Electroencephalogram) divided into two categories, called the activity of cognitive involving the ability of the right brain (creativity, imagination, holistic thinking, intuition, arts, rhythms, nonverbal, feelings, visualization, tune of songs, daydreaming) and the left brain (logic, analysis, sequences, linear, mathematics, language, facts, think in words, word of songs, computation) give a different cluster based on two times the test on mathematical activities (no cluster slices of experiment 1 and experiment 2). The result showed that cognitive activity based on math activity can provide a signal characteristic that can be used as the basis for a brain-computer interface applications development by utilizing EEG single-sensor.
 
Publisher Universitas Ahmad Dahlan
 
Contributor
 
Date 2016-11-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://ijain.org/index.php/IJAIN/article/view/86
10.26555/ijain.v2i3.86
 
Source International Journal of Advances in Intelligent Informatics; Vol 2, No 3 (2016): November 2016; 167-173
2548-3161
2442-6571
 
Language eng
 
Relation http://ijain.org/index.php/IJAIN/article/view/86/ijain_v2i3_p167-173
 
Rights Copyright (c) 2016 International Journal of Advances in Intelligent Informatics
http://creativecommons.org/licenses/by-sa/4.0
 

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