The dynamic emotion recognition system based on functional connectivity of brain regions

Khosrowabadi , Reza and Heijnen, Michel and Abdul Rahman, Abdul Wahab and Quek, Hiok Chai (2010) The dynamic emotion recognition system based on functional connectivity of brain regions. In: 2010 IEEE Intelligent Vehicles Symposium, IV 2010, 21 June 2010 - 24 June 2010, La Jolla, CA; United States.

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Abstract

Emotion perception similar to thinking, learning and remembering is consequent of complicated brain processes which are related to specific biological metabolism. Different human’s emotional states are recognizable by measuring and interpreting of human physiological signals. Bio-sensors possess a number of advantages against other emotion recognition methods as they are relatively more consistent across cultures and nations. Emotions have a serious effect on driving. Human beings in negative and sometimes positive emotional states can be distracted which will increase the risk of driving. This paper presents an EEGbased emotion recognition system. Mutual information and magnitude squared coherence are applied to investigate the interconnectivity between 8 scalp 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. After feature extraction, 5-fold cross-validation was then performed using the KNN and SVM classifier. The results showed existence of different kind of functional brain connectivity in different emotional states.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Additional Information:	6145/38118
Uncontrolled Keywords:	Audio-visual; Biological metabolism; Brain connectivity; Brain process; Brain regions; Cross validation; Emotion recognition; Emotional state; Functional connectivity; Human being; Interconnectivity; Magnitude squared coherences; Mutual informations; Physiological signals; SVM classifiers
Subjects:	T Technology > T Technology (General) > T55.4 Industrial engineering.Management engineering. > T57 Applied mathematics. Quantitative methods. Operation research. System analysis
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:	Ahmad Nazreen Mohd Shamsuri (PT)
Date Deposited:	09 Sep 2014 16:55
Last Modified:	17 Dec 2020 00:06
URI:	http://irep.iium.edu.my/id/eprint/38118

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