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

Content Provider	IEEE Xplore Digital Library
Author	Khosrowabadi, R. Heijnen, M. Wahab, A. Hiok Chai Quek
Copyright Year	2010
Description	Author affiliation: School of Medical Technology, Zuyd University, Nieuw Eyckholt 300, 6419 DJ, Heerlen, The Netherlands (Heijnen, M.) \|\| Division of Computer Science, School of Computer Engineering, Nanyang Technological University, Singapore (Hiok Chai Quek) \|\| Center for Computational Intelligence, School of Computer Engineering, Nanyang Technological University, Singapore 639798 (Khosrowabadi, R.) \|\| Division of Computer Science, School of Information and Communication Technology, International Islamic University, Kuala Lumpur, Malaysia, Box 10, 50728 (Wahab, A.)
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 EEG-based 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.
Starting Page	377
Ending Page	381
File Size	1878109
Page Count	5
File Format	PDF
ISBN	9781424478668
ISSN	19310587
e-ISBN	9781424478682
DOI	10.1109/IVS.2010.5548102
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Emotion recognition Humans Electroencephalography Speech Scalp Computer science Automobiles Road accidents Driver circuits Intelligent vehicles
Content Type	Text
Resource Type	Article

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