School of Computer Engineering

1. School of ComputerEngineering The Dynamic Emotion Recognition System Based on Functional Connectivity of Brain Regions Abdul Wahab Bin Abdul Rahman Division of Computer Science, School of Information and Communication Technology,  International Islamic University, Kuala Lumpur, Malaysia, Box 10, 50728. email:abdulwahab@iiu.edu.my Reza Khosrowabadi and Hiok Chai Quek Centre for Computational Intelligence, School of Computer Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798. e-mail: {reza0004, ashcquek} @ntu.edu.sg Michel Heijnen School of Medical Technology, Zuyd University, Nieuw Eyckholt 300, 6419 DJ, Heerlen, The Netherlands. email: michelheijnen@live.nl Introduction Objectives Introducing a human emotion recognition system based on electroencephalography (EEG signals). Demonstration of applying functional connectivity between brain regions for feature selection. • Theoretically strong stimulus affects driver feeling which changes his/her behavior. • EEG signal based methods are simple, noninvasive, fast and effective for emotion identification. • Challenge is in achieving good recognition performance and finding useful features of EEG signals. Architecture of the proposed Affective Brain-Computer Interface Method Feature Extraction How Feature Selection Arises? • 8 channels of EEG data from 26 healthy right handed subjects were collected according to International 10~20 standard. • 4 emotional states of subject were excited through Audio-Visual stimulus. • Three levels of valence and three levels of arousal were studied. • Mutual information and magnitude squared coherence were applied to investigate the interconnectivity between 8 scalp regions. • Two popular learning models were used, including KNN and SVM . • Matlab programs were applied to implement the algorithm. Magnitude Square Coherence Estimation: MSCE was computed using Welch's averaged and modified periodogram method. Mutual Information: Paradigm of stimuli presentation for inter-subject experiment Emotion Classification Results Distribution of SAM answers and selected boundaries Centre for Computational Intelligence, Blk N4, #B1a-02, Nanyang Technological University, Singapore 639798 . Tel: (65) 6790 4618 http://www.c2i.ntu.edu.sg