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

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

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 pos...

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Bibliographic Details
Main Authors: Ahmad Azhari, Leonel Hernandez
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2016-11-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:
EEG
Brainwaves
Cognitive Task
Kmeans Clustering
Online Access:http://ijain.org/index.php/IJAIN/article/view/86

Internet

http://ijain.org/index.php/IJAIN/article/view/86

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