Investigation of EEG signals for emotional state analysis

This research investigates the electroencephalography (EEG) signal and how features within the signal correlates with the human emotional states. EEG signals were collected from 4 male and 4 female test subjects while exposed to audio-visual stimuli. The stimuli were selected to evoke 4 groups of em...

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Bibliographic Details
Main Author:	Syed Ibrahim, Syed Syahril
Format:	Thesis
Published:	2011
Subjects:	QP Physiology
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id	my-mmu-ep.5241
record_format	uketd_dc
spelling	my-mmu-ep.52412014-02-26T01:54:42Z Investigation of EEG signals for emotional state analysis 2011-12 Syed Ibrahim, Syed Syahril QP Physiology This research investigates the electroencephalography (EEG) signal and how features within the signal correlates with the human emotional states. EEG signals were collected from 4 male and 4 female test subjects while exposed to audio-visual stimuli. The stimuli were selected to evoke 4 groups of emotions i.e., sad, fear, happiness and disgust. The signals were then processed to remove artifacts using an adaptive empirical mode decomposition (EMD). This novel method was designed to remove artifact for a limited number of EEG channel. Subsequently, the spectral features namely alpha peak frequency, alpha band power, beta peak frequency, beta band power and alpha to beta band power ratio were extracted from the artifact-free EEG of each electrode using modiﬁed Welch periodogram. An investigation was conducted on ﬁnding the optimum parameters for Welch in terms of the number of segments and the epoch length. Three different Welch segments which are, 2, 4 and 8 segments were applied and analyzed on three types of EEG epoch lengths that are, 2, 5 and 10 seconds. The hypothesis derived from the ﬁrst experiment was subsequently tested on an additional 7 male subjects. It was observed that the alpha peak frequency consistently had the highest magnitudes for happiness-evoked emotion for male subjects. This observation was not reﬂected for all other type of emotions. Hence signiﬁes the correlation of alpha peak frequency and the human emotion of happiness. The results of the investigation also showed that the optimum number of segments for Welch is 4 segments while the optimum epoch length of a signal is 5 seconds. 2011-12 Thesis http://shdl.mmu.edu.my/5241/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php masters Multimedia University Faculty of Engineering
institution	Multimedia University
collection	MMU Institutional Repository
topic	QP Physiology
spellingShingle	QP Physiology Syed Ibrahim, Syed Syahril Investigation of EEG signals for emotional state analysis
description	This research investigates the electroencephalography (EEG) signal and how features within the signal correlates with the human emotional states. EEG signals were collected from 4 male and 4 female test subjects while exposed to audio-visual stimuli. The stimuli were selected to evoke 4 groups of emotions i.e., sad, fear, happiness and disgust. The signals were then processed to remove artifacts using an adaptive empirical mode decomposition (EMD). This novel method was designed to remove artifact for a limited number of EEG channel. Subsequently, the spectral features namely alpha peak frequency, alpha band power, beta peak frequency, beta band power and alpha to beta band power ratio were extracted from the artifact-free EEG of each electrode using modiﬁed Welch periodogram. An investigation was conducted on ﬁnding the optimum parameters for Welch in terms of the number of segments and the epoch length. Three different Welch segments which are, 2, 4 and 8 segments were applied and analyzed on three types of EEG epoch lengths that are, 2, 5 and 10 seconds. The hypothesis derived from the ﬁrst experiment was subsequently tested on an additional 7 male subjects. It was observed that the alpha peak frequency consistently had the highest magnitudes for happiness-evoked emotion for male subjects. This observation was not reﬂected for all other type of emotions. Hence signiﬁes the correlation of alpha peak frequency and the human emotion of happiness. The results of the investigation also showed that the optimum number of segments for Welch is 4 segments while the optimum epoch length of a signal is 5 seconds.
format	Thesis
qualification_level	Master's degree
author	Syed Ibrahim, Syed Syahril
author_facet	Syed Ibrahim, Syed Syahril
author_sort	Syed Ibrahim, Syed Syahril
title	Investigation of EEG signals for emotional state analysis
title_short	Investigation of EEG signals for emotional state analysis
title_full	Investigation of EEG signals for emotional state analysis
title_fullStr	Investigation of EEG signals for emotional state analysis
title_full_unstemmed	Investigation of EEG signals for emotional state analysis
title_sort	investigation of eeg signals for emotional state analysis
granting_institution	Multimedia University
granting_department	Faculty of Engineering
publishDate	2011
_version_	1747829568699367424

Investigation of EEG signals for emotional state analysis

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