Emotion classification based on physiological signals induced by negative emotions: Discriminantion of negative emotions by machine learning algorithm

Proceedings of 2012 9th IEEE International Conference on Networking, Sensing and Control, ICNSC 2012

Volumn , Issue , 2012, Pages 283-288

  Jang, Eun Hye ^a   Park, Byoung Jun ^a   Kim, Sang Hyeob ^a   Sohn, Jin Hun ^b  

^a Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

^b Chungnam National University   (South Korea)

Author keywords

emotion classification; machine learning algorithm; negative emotion; physiological signal

Indexed keywords

AUDIO-VISUAL; ELECTRODERMAL ACTIVITY; EMOTION CLASSIFICATION; EMOTION RECOGNITION; EMOTIONAL INTELLIGENCE; HUMAN-COMPUTER INTERACTION RESEARCHES; NEGATIVE EMOTION; PHYSIOLOGICAL FEATURES; PHYSIOLOGICAL SIGNALS; SKIN TEMPERATURES;

CLASSIFICATION (OF INFORMATION); ELECTROCARDIOGRAPHY; LEARNING SYSTEMS; PHYSIOLOGY;

LEARNING ALGORITHMS;

EID: 84863089725     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNSC.2012.6204931     Document Type: Conference Paper

References (19)

1. J. Wagner, J. Kim, and E. Andre, "From physiological signals to emotions: Implementing and comparing selected methods for feature extraction and classification," 2005 IEEE International Conference on Multimedia and Expo, Amsterdam, pp. 940-943, July 2005.
2. N. Sebe, I. Cohen, and T.S. Huang, "Multimodal emotion recognition," in Handbook of Pattern Recognition and Computer Vision, Amsterdam: Publications of the Universiteit van Amsterdam, 2005, pp. 1-23.
3. R. W. Picard, E. Vyzas, and J. Healey, "Toward machine emotional intelligence: Analysis of affective physiological state," IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 23, pp. 1175-1191, 2001.
4. R. Cowie, E. Douglas-Cowie, N. Tsapatsoulis, G. Votsis, S. Kollias, W. Fellenz and J. G. Taylor, "Emotion recognition in human computer interaction," IEEE Signal Process. Mag., vol. 18, pp. 32-80, January 2001.
5. A. Haag, S. Goronzy, P. Schaich, and J. Williams, "Emotion recognition using bio-sensors: First steps towards an automatic system," Affective Dialogue Systems, vol. 3068, pp. 36-48, 2004.
6. J. A. Healey, "Wearable and automotive systems for affect recognition from physiology," Doctor of Philosophy, Massachusetts Institute of Technology, Cambridge, MA, 2000.
7. F. Nasoz, K. Alvarez, C. L. Lisetti, and N. Finkelstein, "Emotion recognition from physiological signals for user modeling of affect," International Journal od Cognition, Technology and Work-Special Issue on Presence, vol. 6, pp. 1-8, 2003.
8. P. D. Drummond, and S. H. Quah, "The effect of expressing anger on cardiovascular reactivity and facial blood flow in Chinese and Caucasians," Psychophysiology, vol. 38, pp. 190-196, 2001.
9. R. Calvo, I. Brown, and S. Scheding, "Effect of experimental factors on the recognition of affective mental states through physiological measures," AI 2009: Advances in Artificial Intelligence, vol. 5866, pp. 62-70, 2009.
10. M. Murugappan, R. Nagarajan, and S. Yaacob, "Classification of human emotion from EEG using discrete wavelet transform," Journal of Biomedical Science and Engineering, vol. 3, pp. 390-396, April 2010.
11. J. R. Quinlan, C4.5 Programs for Machine Learning, San Mateo, CA: Morgan Kaufmann, 1992.
12. F. Fdez-Riverola, E. L. Iglesias, F. Diaz, J. R. Mendez, and J. M. Corchado, "SpamHunting: an instance-based reasoning system for spam labeling and filtering," Decision Support Systems, vol. 43, pp. 722-736, 2007.
13. D. W. Aha, D. Kibler, and M. K. Albert, "Instance-based learning algorithms," Machine Learning, vol. 6, pp. 37-66, 1991.
14. P. D. Wasserman, Advanced Methods in Neural Computing, New York, Van Nostrand Reinhold, pp. 35-55, 1993.
15. C. Lee, and M.-G. Jang. A Prior Model of Structural SVMs for Domain Adaptation. ETRI Journal. 2011, 33 (5): 712-719
16. W. Boucsein, "Electrodermal activity," Plenum Press, NewYork, 1992.
17. K. H. Kim, S. W. Bang, and S. R. Kim, "Emotion recognition system using short-term monitoring of physiological signals," Medical & Biological Engineering & Computing, vol. 42, pp.419-427, 2004.
18. K. Takahashi, "Remarks on emotion recognition from bio-potential signals," 2nd International Conference on Autonomous Robots and Agents, Palmerston North, pp. 186-191, December, 2004.
19. J. Arroyo-Palacios, and D. M. Romano, "Towards a standardization in the use of physiological signals for affective recognition systems," Proceedings of Measuring Behavior 2008, 2008.