Emotion recognition model using source-temporal features and fuzzy

Shams, Wafa Khazal and Abdul Rahman, Abdul Wahab and Taha Alshaikhli, Imad Fakhri (2013) Emotion recognition model using source-temporal features and fuzzy. Lecture Notes in Computer Science (LNCS), 8226 (1). pp. 577-584. ISSN 1611-3349 (O), 0302-9743 (P)

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Abstract

This paper aims to evaluate the performance of Electroencephalographic (EEG) emotion recognition system (EEG-ER) using source-temporal domain with Takagi- Sugeno-Kang (TSK) fuzzy model. Ten healthy subjects aged 5-6 years were participated in this study. Emotion elicitation procedure has done using the Radbound faces database (RafD). The selected emotions were happy, sad, and neutral and fear. The results were compared with wavelet coefficients (WC) as feature extraction method and Regularized Least Square (RLS) and Multi-Layer Perception (MLP) neural network classifiers from our previous work. Another comparison was done between affective model of Russell and RafD. The results show the efficiency of using source-temporal features in emotion recognition system hence there was a slight difference in accuracy among different classifier; MLP, RLS and TSK however MLP and TSK results were with high accurate and stable. Moreover Russell model which is based on positive-negative dimensions shows high accuracy than RafD model that has positive dimensions. The accuracy was around 97% using Russell model.

Item Type:	Article (Journal)
Additional Information:	6145/34356
Uncontrolled Keywords:	Emotion, EEG, Relative source temporal features, Takagi-Sugeno- Kang fuzzy approach.
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:	16 Jan 2014 14:08
Last Modified:	24 May 2018 15:43
URI:	http://irep.iium.edu.my/id/eprint/34356

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