EEG emotion recognition system

Ma, Li Ya and Quek, Chai and Teo, Kaixiang and Abdul Rahman, Abdul Wahab and Abut, Huseyin (2009) EEG emotion recognition system. In: In-vehicle corpus and signal processing for driver behavior. Springer US, Spring Street, USA, pp. 125-135. ISBN 978-0-387-79581-2 (P), 978-0-387-79582-9 (O)

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Abstract

This chapter proposes an emotion recognition system based on time domain analysis of the bio-signals for emotion features extraction. Three different types of emotions (happy, relax and sad) are classified and results are compared using five different algorithms based on RVM, MLP, DT, SVM and Bayesian techniques. Experimental results show the potential of using the time domain analysis for real-time application.

Item Type:	Book Chapter
Additional Information:	6145/38152
Uncontrolled Keywords:	Emotion recognition, EEG, Fuzzy neural network, Confusion matrix, RVM, MLP
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Prof Abdul Wahab Abdul Rahman
Date Deposited:	11 Sep 2014 16:10
Last Modified:	12 Jun 2020 15:52
URI:	http://irep.iium.edu.my/id/eprint/38152

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