The Emotion Recognition System Based on Autoregressive Model and Sequential Forward Feature Selection of Electroencephalogram Signals

The Emotion Recognition System Based on Autoregressive Model and Sequential Forward Feature Selection of Electroencephalogram Signals

Electroencephalogram (EEG) is one of the useful biological signals to distinguish different brain diseases and mental states. In recent years, detecting different emotional states from biological signals has been merged more attention by researchers and several feature extraction methods and classif...

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Bibliographic Details
Main Authors: Sepideh Hatamikia, Keivan Maghooli, Ali Motie Nasrabadi
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2014-01-01
Series:Journal of Medical Signals and Sensors
Subjects:
Autoregressive model
classification
Davies-Bouldin index
electroencephalography
emotional models
sequential forward feature selection
Online Access:http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2014;volume=4;issue=3;spage=194;epage=201;aulast=Hatamikia

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http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2014;volume=4;issue=3;spage=194;epage=201;aulast=Hatamikia

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