EEG-based emotion recognition using self-organizing map for boundary detection

This paper presents an EEG-based emotion recognition system using self-organizing map for boundary detection. Features from EEG signals are classified by considering the subjects’ emotional responses using scores from SAM questionnaire. The selection of appropriate threshold levels for arousal and...

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Main Authors:	Khosrowabadi, Reza, Quek, Hiok Chai, Abdul Rahman, Abdul Wahab, Ang, Kai Keng
Format:	Conference or Workshop Item
Language:	English
Published:	2010
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/38090/ http://irep.iium.edu.my/38090/ http://irep.iium.edu.my/38090/1/EEG-based_emotion_recognition_using_self-organizing_map_for_boundary_detection.pdf

id	iium-38090
recordtype	eprints
spelling	iium-380902014-09-11T01:44:05Z http://irep.iium.edu.my/38090/ EEG-based emotion recognition using self-organizing map for boundary detection Khosrowabadi, Reza Quek, Hiok Chai Abdul Rahman, Abdul Wahab Ang, Kai Keng T Technology (General) This paper presents an EEG-based emotion recognition system using self-organizing map for boundary detection. Features from EEG signals are classified by considering the subjects’ emotional responses using scores from SAM questionnaire. The selection of appropriate threshold levels for arousal and valence is critical to the performance of the recognition system. Therefore, this paper investigates the performance of a proposed EEG-based emotion recognition system that employed self-organizing map to identify the boundaries between separable regions. A study was performed to collect 8 channels of EEG data from 26 healthy right-handed subjects in experiencing 4 emotional states while exposed to audio-visual emotional stimuli. EEG features were extracted using the magnitude squared coherence of the EEG signals. The boundaries of the EEG features were then extracted using SOM. 5-fold crossvalidation was then performed using the k-nn classifier. The results showed that proposed method improved the accuracies to 84.5%. 2010-08 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/38090/1/EEG-based_emotion_recognition_using_self-organizing_map_for_boundary_detection.pdf Khosrowabadi, Reza and Quek, Hiok Chai and Abdul Rahman, Abdul Wahab and Ang, Kai Keng (2010) EEG-based emotion recognition using self-organizing map for boundary detection. In: 2010 20th International Conference on Pattern Recognition (ICPR 2010), 23-26 Aug. 2010, Istanbul, Turkey. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5597763
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Khosrowabadi, Reza Quek, Hiok Chai Abdul Rahman, Abdul Wahab Ang, Kai Keng EEG-based emotion recognition using self-organizing map for boundary detection
description	This paper presents an EEG-based emotion recognition system using self-organizing map for boundary detection. Features from EEG signals are classified by considering the subjects’ emotional responses using scores from SAM questionnaire. The selection of appropriate threshold levels for arousal and valence is critical to the performance of the recognition system. Therefore, this paper investigates the performance of a proposed EEG-based emotion recognition system that employed self-organizing map to identify the boundaries between separable regions. A study was performed to collect 8 channels of EEG data from 26 healthy right-handed subjects in experiencing 4 emotional states while exposed to audio-visual emotional stimuli. EEG features were extracted using the magnitude squared coherence of the EEG signals. The boundaries of the EEG features were then extracted using SOM. 5-fold crossvalidation was then performed using the k-nn classifier. The results showed that proposed method improved the accuracies to 84.5%.
format	Conference or Workshop Item
author	Khosrowabadi, Reza Quek, Hiok Chai Abdul Rahman, Abdul Wahab Ang, Kai Keng
author_facet	Khosrowabadi, Reza Quek, Hiok Chai Abdul Rahman, Abdul Wahab Ang, Kai Keng
author_sort	Khosrowabadi, Reza
title	EEG-based emotion recognition using self-organizing map for boundary detection
title_short	EEG-based emotion recognition using self-organizing map for boundary detection
title_full	EEG-based emotion recognition using self-organizing map for boundary detection
title_fullStr	EEG-based emotion recognition using self-organizing map for boundary detection
title_full_unstemmed	EEG-based emotion recognition using self-organizing map for boundary detection
title_sort	eeg-based emotion recognition using self-organizing map for boundary detection
publishDate	2010
url	http://irep.iium.edu.my/38090/ http://irep.iium.edu.my/38090/ http://irep.iium.edu.my/38090/1/EEG-based_emotion_recognition_using_self-organizing_map_for_boundary_detection.pdf
first_indexed	2023-09-18T20:54:39Z
last_indexed	2023-09-18T20:54:39Z
_version_	1777410223612362752

EEG-based emotion recognition using self-organizing map for boundary detection

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