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Classification of EEG signals using MLP based on categorical and dimensional perceptions of emotions.

Yaacob, Hamwira Sakti and Abdul Rahman, Abdul Wahab and Kamaruddin, Norhaslinda (2013) Classification of EEG signals using MLP based on categorical and dimensional perceptions of emotions. In: The 4th International Conference on Information & Communication Technology for the Muslim World (ICT4M), 25-27 Mar 2013, Rabat, Moroco.

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Abstract

Emotions are frequently studied based on two approaches; categorical and dimensional. In this study, Multi- Layer Perceptron (MLP) was employed to classify four affective states as posited from these approaches. It was observed that emotional states viewed from the dimensional perspective are well discriminated using memory test. In addition to that, the dynamic for each of the four emotions were also presented, in which it was also indicated that an emotional state does not occur abruptly.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 4870/30842
Uncontrolled Keywords: emotions, EEG, MLP,
Subjects: B Philosophy. Psychology. Religion > BF Psychology > BF511 Affection. Feeling. Emotion
H Social Sciences > H Social Sciences (General) > H61.8 Communication of information
T Technology > T Technology (General) > T55.4 Industrial engineering.Management engineering. > T58.5 Information technology
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: Dr Hamwira Yaacob
Date Deposited: 14 Aug 2013 06:43
Last Modified: 14 Aug 2013 06:43
URI: http://irep.iium.edu.my/id/eprint/30842

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