Browse > Article
http://dx.doi.org/10.9717/kmms.2016.19.4.756

EEG-based Analysis of Auditory Stimulations Generated from Watching Disgust-Eliciting Videos  

Lee, Mi-Jin (Dept. of media technology contents, Catholic University of Korea)
Kim, Hae-Lin (Dept. of media technology contents, Catholic University of Korea)
Kang, Hang-Bong (Dept. of media technology contents, Catholic University of Korea)
Publication Information
Journal of Korea Multimedia Society / v.19, no.4, 2016 , pp. 756-764 More about this Journal
Abstract
In this paper, we present electroencephalography (EEG)-based power spectra analysis and auditory stimuli methods as coping mechanisms for disgust affection and phobia. Disgust affection is a negative emotion generated from trying to eliminate something harmful to one. It is usually related to mental illnesses such as obsessive-compulsive disorder, specifically phobia and depression. In our experiments, participants watched videos on horrible body mutilation and disgusting creatures, with either the original sound track or relaxing and exciting music as auditory stimulation. After watching the videos with original sound track, the participants watched the same video with a different audio background, such as soothing or cheerful music. We analyzed the EEG data utilizing relative power spectra and examined survey results of the participants. The results demonstrated that disgust affection is decreased when participants watched the video with relaxing or exciting music instead of the original soundtracks. Moreover, we confirmed that human's brainwave reacts according to types of audio and sources of disgust affection.
Keywords
EEG; Disgust; Auditory Stimuli;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 M. Cohen, Analyzing Neural Time Series Data, MIT Press, Cambridge MA, 2014.
2 J. Haidt, C.M. Cauley, and P. Rozin, “Individual Differences in Sensitivity to Disgust : A Scale Sampling Seven Domains of Disgust Elicitors,” Journal of Personality and Individual Differences, Vol. 16, Issue 5, pp. 701-713, 1994.   DOI
3 Y. Lin, C. Wang, T. Jung, T. Wu, S. Jeng, J. Duann, et. al, “EEG-based Emotion Recognition in Music Listening,” IEEE Transactions on Biomedical Engineering, Vol. 57, No. 7, pp.1798-1806, 2010.   DOI
4 D. Nie, L. Shi, and B. Lu, "EEG-based Emotion Recognition During Watching Movies," Proceeding of International IEEE/ EMBS Conference, pp.667-670, 2011.
5 M. Murugappan, M. Rizzon, R. Nagarajan, S. Yaacob, D. Hazry, and I. Zunaidi, “Time-Frequency Analysis of EEG Signals for Human Emotion Detection,” Proceeding of International Federation for Medical and Biological Engineering, Vol. 21, pp. 262-265, 2008.
6 M. Sarlo, G. Buodo, S. Poli, and D. Palomba, “Changes in EEG Alpha Power to Different Disgust Elicitors : the Specificity of Mutilations,” Neuroscience Letters, Vol. 382, Issue 3, pp. 291-296, 2005.   DOI
7 D. Palomba, M. Sarlo, A. Angrilli, A. Mini, and L. Stegagno, “Cardiac Responses Associated with Affective Processing of Unpleasant Film Stimuli,” International Journal of Psychophysiology, Vol. 36, Issue 1, pp. 45-57, 2000.   DOI
8 A. Köchel, F. Schöngassner, A. Schienle, A. Schienle, “Cortical Activation During Auditory Elicitation of Fear and Disgust: A Near-infrared Spectroscopy (NIRS) Study,” Neuroscience Letters, Vol. 549, pp. 197-200, 2013.   DOI
9 S. Syahril and K.S. Subari, "Detection of Disgust in The EEG Sub-Gamma Band," Proceeding of IEEE Region 10 Conference, pp. 293-297, 2011.
10 M.G. Wheaton, A. Holman, C.A. Rabinak, A. M. Namara, G.H. Proudfit, and K.L. Phan, “Danger and Disease : Electrocortical Responses to Threat-and Disgust-eliciting Images,” International Journal of Psychophysiology, Vol. 90, Issue 2, pp. 235-239, 2013.   DOI
11 M. Lewis, J.M. Haviland-Jones, and Lisa Feldman Barrett, Handbook of Emotion, Guilford Press, New York NY, 2010.
12 T. Gasser, P. Bächer, and J. Möcks, “Transformations Towards the Normal Distribution of Broad Band Spectral Parameters of the EEG,” Electroencephalography and Clinical Neurophysiology, Vol. 53, Issue 1, pp. 119-124, 1982.   DOI
13 A. Takemoto, K. Nakamura, Y. Koike, "Singletrial EEG Data to Classify Type and Intensity of Facial Emotion from P100 and N170," Neural Networks, International Joint Conference, pp 3156-3163, 2009.
14 J. Lee and H. Kang, “EEG and ERP Based Degree of Internet Game Addiction Analysis,” Journal of the Korea Multimedia Society, Vol. 17, No. 11, pp. 1328-1334, 2014.
15 R.S. Schaefer, R.J. Viek, and P. Desain, “Music Perception and Imagery in EEG : Alpha Band Effects of Task and Stimulus,” International Journal of Psychophysiology, Vol. 82, Issue 3, pp. 254-259, 2011.   DOI
16 I.H. Gotlib, “EEG Alpha Asymmetry, Depression, and Cognitive Functioning,” Cognition and Emotion, Vol. 12, Issue 3, pp. 449-478, 1998.   DOI
17 S. Kim, S. Kim, and H. Kang, “Comparison of EEG During Watching Emotional Videos according to the Degree of Smartphone Addiction,” Journal of Korea Multimedia Society, Vol. 18, No. 5, pp. 599-609, 2015.   DOI
18 W. Jung, D. Park, J. Yu, S. Ryu, J. Ha, and B. Shin, “The Change of Cortical Activity Induced by Visual Disgust Stimulus,” Sleep Medicine and Psychophysiology, Vol. 20, Issue 2, pp. 75-81, 2013.   DOI