Based on support vector regression for emotion recognition using physiological signals

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2010, Pages

  Chang, Chuan Yu ^a   Zheng, Jun Ying ^a   Wang, Chi Jane ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; ELECTROPHYSIOLOGY; REGRESSION ANALYSIS; SPEECH RECOGNITION;

AUTONOMICS; BLOOD VOLUME PULSE; EMOTION RECOGNITION; FACIAL EXPRESSIONS; GALVANIC SKIN RESPONSE; PHYSIOLOGICAL REACTIONS; PHYSIOLOGICAL SIGNALS; RECOGNITION SYSTEMS; REGRESSION CURVE; SUPPORT VECTOR REGRESSIONS;

EMOTION RECOGNITION;

EID: 79959420875     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2010.5596878     Document Type: Conference Paper

References (16)

1. K. Jonghwa and E. Ande, "Emotion Recognition Based on Physiological Changes in Music Listening," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 2067-2083, 2008.
2. C. Y. Chang, J. S. Tsai, C. J. Wang, and P. C. Chung, "Emotion recognition with consideration of facial expression and physiological signals," Procdeing of IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, pp. 278-283, 2009.
3. E. Leon, G. Clarke, V. Callaghan, and F. Sepulveda, "Real-time detection of emotional changes for inhabited environments," Computers & Graphics, vol. 28, pp. 635-642, 2004.
4. I. B. Mauss, C. L. Cook, J. Y. J. Cheng, and J. J. Gross, "Individual differences in cognitive reappraisal: Experiential and physiological responses to an anger provocation," International Journal of Psychophysiology, vol. 66, pp. 116-124, 2007.
5. J. N. Bailenson, E. D. Pontikakis, I. B. Mauss, J. J. Gross, M. E. Jabon, C. A. C. Hutcherson, C. Nass, and O. John, "Real-time classification of evoked emotions using facial feature tracking and physiological responses," International Journal of Human-Computer Studies, vol. 66, pp. 303-317, 2008.
6. 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.
7. R. L. Mandryk and M. S. Atkins, "A fuzzy physiological approach for continuously modeling emotion during interaction with play technologies," International Journal of Human-Computer Studies, vol. 65, pp. 329-347, 2007.
8. C. D. Katsis, N. Katertsidis, G. Ganiatsas, and D. I. Fotiadis, "Toward Emotion Recognition in Car-Racing Drivers: A Biosignal Processing Approach," IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, , vol. 38, pp. 502-512, 2008.
9. E. Leon, G. Clarke, V. Callaghan, and F. Sepulveda, "A user-independent real-time emotion recognition system for software agents in domestic environments," Engineering Applications of Artificial Intelligence, vol. 20, pp. 337-345, 2007.
10. F. Nasoz and C. L. Lisetti, "MAUI avatars: Mirroring the user's sensed emotions via expressive multi-ethnic facial avatars," Journal of Visual Languages & Computing, vol. 17, pp. 430-444, 2006.
11. O. Pollatos, B. M. Herbert, E. Matthias, and R. Schandry, "Heart rate response after emotional picture presentation is modulated by interoceptive awareness," International Journal of Psychophysiology, vol. 63, pp. 117-124, 2007.
12. V. Vapnik and A. Lerner, "Pattern recognition using generalized portrait method," Automation and Remote Control, vol. 24, pp. 774-780, 1963.
13. V. Vapnik and A. Chervonenkis, "A note on one class of perceptrons," Automation and Remote Control, vol. 25, 1964.
14. V. Vapnik, S. E. Golowich, and A. Smola, "Support vector method for function approximation, regression estimation, and signal processing," Advances in Neural Information Processing Systems, vol. 9, pp. 281-287, 1996.
15. V. Vapnik, The Nature of Statistical Learning Theory. New York: Springer, 1995.
16. C. C. Chang and C. J. Lin. (2001, LIBSVM : a library for support vector machines. Available: http://www.csie.ntu.edu.tw/~cjlin/libsvm