Subject-dependent and subject-independent emotional classification of CMAC-based features using EFuNN

Yaacob, Hamwira Sakti and Abdul Rahman, Abdul Wahab and Kamaruddin, Norhaslinda (2014) Subject-dependent and subject-independent emotional classification of CMAC-based features using EFuNN. In: 27th International Conference on Computer Applications in Industry and Engineering, 13-15 October 2014, New Orleans, Louisiana, USA.

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Abstract

Emotions are postulated to be generated at the brain. To capture the brain activities during emotional processing, several neuro-imaging techniques have been adopted, including electroencephalogram (EEG). In the existing studies, different techniques have been employed to extract features from EEG signals for emotion classification. However, existing feature extraction techniques do not consider spatial and temporal neural-dynamics of emotion. Furthermore, the non-linearity of EEG and self-adaptive of neural activations are disregard. Therefore, the classification accuracy of any feature extraction technique is inconsistent when applied with different classifiers. Hence, in this study, a new feature extraction technique that inculcates the qualities of EEG signal and the behavior neural activations based on Cerebellar Model Articulation Controller (CMAC) model is proposed. Classification performance of calm, fear, happiness and sadness using Evolving Fuzzy Neural Network (EFuNN) classifiers are compared based on subject-dependent and subject-independent validations. It is observed that the proposed technique is able to yield accuracy of above 50% to above 90% for subject-dependent classification. For subject-independent approach, the highest accuracy is barely 40%. The results suggest that this approach is comparable as a feature extraction technique for classifying emotions.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	4870/43492
Uncontrolled Keywords:	Emotion, EEG, CMAC, EFuNN, valence, arousal
Subjects:	B Philosophy. Psychology. Religion > BF Psychology > BF511 Affection. Feeling. Emotion 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
Depositing User:	Dr Hamwira Yaacob
Date Deposited:	28 Jul 2015 09:40
Last Modified:	26 Sep 2017 12:00
URI:	http://irep.iium.edu.my/id/eprint/43492

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