EEG based Emotion Classification using Bayesian Belief Networks in Pleasant and Unpleasant Odorant Stimuli

In this paper, we proposes an emotion classification method based on Bayesian Belief Networks (BBN) to classify the EEG signals which are induced by the olfactory stimuli. In order to stimulate the olfactory organ, the citralva is used as the pleasant smell and 2-melcaptoethanol is used as the unpleasant smell. We placed the 4-channel EEG electrodes on F3, F4 at frontal lobe and T3, T4 at temporal lobe to acquire EEG signals in according to the standard electrode placement, which is called international 10-20 system. The participants are five high school students (4 male and 1 female) whose ages are from 17 to 18. To extract features from EEG signals, the time-frequency analysis is performed by using the Event-Related Spectral Perturbation (ERSP). The average values of relative power of the frequency in each time domain are used as the features for the BBN classifier. To evaluate the performance of the proposed method, we compared the performance of the BBN and Naive Bayesian Networks (BN). As a result of the comparison, we confirm that the classification rate of the BBN is increased by approximately 11%. Keywords: electroencephalography, emotion classification, bayesian belief networks

[1]  Naohito Okude,et al.  Bayesian networks layer model to represent anesthetic practice , 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

[2]  J. Covington,et al.  Olfactory event-related potentials: older males demonstrate the greatest deficits. , 1997, Electroencephalography and clinical neurophysiology.

[3]  Janina Seubert,et al.  Mood induction with olfactory stimuli reveals differential affective responses in males and females. , 2008, Chemical senses.

[4]  Qiang Ji,et al.  Active affective State detection and user assistance with dynamic bayesian networks , 2005, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[5]  Touradj Ebrahimi,et al.  Multivariate spectral analysis for identifying the brain activations during olfactory perception , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  M. Wiesmann,et al.  Emotional stimulation alters olfactory sensitivity and odor judgment. , 2007, Chemical senses.

[7]  Zhi-Long Chen,et al.  Using EEG to detect drivers' emotion with Bayesian Networks , 2010, 2010 International Conference on Machine Learning and Cybernetics.

[8]  Yiyuan Tang,et al.  Construction and Application of Bayesian Network in Early Diagnosis of Alzheimer Disease's System , 2007, 2007 IEEE/ICME International Conference on Complex Medical Engineering.

[9]  T. Jacob,et al.  The correlation between physiological and psychological responses to odour stimulation in human subjects , 2002, Clinical Neurophysiology.