Statistical approach for a complex emotion recognition based on EEG features

Dwi Handayani, Dini Oktarina and Yaacob, Hamwira Sakti and Abdul Rahman, Abdul Wahab and Alshaikhli, Imad Fakhri Taha (2016) Statistical approach for a complex emotion recognition based on EEG features. In: 2015 4th International Conference on Advanced Computer Science Applications and Technologies (ACSAT 2015), 8th-10th Dec. 2015, Kuala Lumpur.

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Abstract

This paper presents electroencephalogram (EEG) signals and normal distribution technique to recognize the complex emotion. In the recent years, there has been a trend towards recognizing human emotions, however not many researcher aware that human can recognize more than emotion at one time. Thus, in this study, normal distribution is utilized to recognize the expected emotion. The feature extraction and classification were obtained using a Mel-frequency cepstral coefficients (MFCC) and multilayer perceptron (MLP). The correlation between human emotion and mood is also the essential point, since the mood can affected to the human emotion. The result shows that the human emotions is strongly influenced by his initial mood.

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	4870/50950
Uncontrolled Keywords:	emotion recognition; mood recognition; normal distribution; Mel-frequency cepstral coefficients, multilayer perceptron;
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
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
Depositing User:	Professor Imad Taha
Date Deposited:	13 Jul 2016 16:15
Last Modified:	19 Oct 2017 14:38
URI:	http://irep.iium.edu.my/id/eprint/50950

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