EEG analysis for understanding stress based on affective model basis function

Rahnuma , Kazi Shahzabeen and Abdul Rahman, Abdul Wahab and Kamaruddin, Norhaslinda and Abdul Majid, Hariyati Shahrima (2011) EEG analysis for understanding stress based on affective model basis function. In: 2011 IEEE 15th International Symposium on Consumer Electronics, 14-17 June 2011, Singapore.

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Abstract

Coping with stress has shown to be able to avoid many complications in medical condition. In this paper we present an alternative method in analyzing and understanding stress using the four basic emotions of happy, calm, sad and fear as our basis function. Electroencephalogram (EEG) signals were captured from the scalp of the brain and measured in responds to various stimuli from the four basic emotions to stimulating stress base on the IAPS emotion stimuli. Features from the EEG signals were extracted using the Kernel Density Estimation (KDE) and classified using the Multilayer Perceptron (MLP), a neural network classifier to obtain accuracy of the subject’s emotion leading to stress. Results have shown the potential of using the basic emotion basis function to visualize the stress perception as an alternative tool for engineers and psychologist. Keywords: Electroencephalography (EEG), Kernel Density Estimation (KDE), Multi-layer Perceptron (MLP), Valance (V), Arousal (A)

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Additional Information:	6145/9638
Uncontrolled Keywords:	EEG, analysis, stress
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General)
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:	Sis Zaleha Ibat
Date Deposited:	02 Mar 2012 16:50
Last Modified:	17 Dec 2020 00:10
URI:	http://irep.iium.edu.my/id/eprint/9638

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