IIUM Repository

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

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.

[img] PDF - Published Version
Restricted to Repository staff only

Download (954kB) | Request a copy

Abstract

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%.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 6145/38090 (ISBN: 978-1-4244-7542-1, DOI : 10.1109/ICPR.2010.1031)
Uncontrolled Keywords: Audio-visual; Boundary detection; Cross validation; EEG signals; Emotion recognition; Emotional state; k-NN classifier; Magnitude squared coherences; Recognition systems; Threshold levels
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User: Prof Abdul Wahab Abdul Rahman
Date Deposited: 11 Sep 2014 09:41
Last Modified: 11 Sep 2014 09:44
URI: http://irep.iium.edu.my/id/eprint/38090

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year