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CMAC-based computational model of affects (CCMA) for profiling emotion from EEG signals

Yaacob, Hamwira Sakti and Abdul Rahman, Abdul Wahab and Alshaikhli, Imad Fakhri Taha and Kamaruddin, Norhaslinda (2014) CMAC-based computational model of affects (CCMA) for profiling emotion from EEG signals. In: 5th International Conference on Information and Communication Technology for The Muslim World (ICT4M 2014), 17th - 19th November 2014, Kuching, Sarawak, Malaysia. (Unpublished)

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Several studies have been performed to profile emotions using EEG signals through affective computing approach. It includes data acquisition, signal pre-processing, feature extraction and classification. Different combinations of feature extraction and classification techniques have been proposed. However, the results are subjective. Very few studies include subject-independent classification. In this paper, a new profiling model, known as CMAC-based Computational Model of Affects (CCMA), is proposed. ), CMAC is presumed to be a reasonable model for processing EEG signals with its innate capabilities to solve non-linear problems through selforganization feature mapping (SOFM). Features that are extracted using CCMA are trained using Evolving Fuzzy Neural Network (EFuNN) as the classifier. For comparison, classification of emotions using features that are derived from power spectral density (PSD) was also performed. The results shows that the performance of using CCMA for profiling emotions outperforms the performance of classifying emotions from PSD features.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: 6534/40480 (ISBN: 9781479962426, DOI: 10.1109/ICT4M.2014.7020584)
Uncontrolled Keywords: CMAC; EEG; affective computing; EFuNN; feature extraction
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
Kulliyyah of Information and Communication Technology
Depositing User: Professor Imad Taha
Date Deposited: 09 Jan 2015 14:41
Last Modified: 17 Dec 2020 01:15
URI: http://irep.iium.edu.my/id/eprint/40480

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