Towards emotion recognition from electroencephalographic signals

Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009

Volumn , Issue , 2009, Pages

  Schaaff, Kristina ^a   Schultz, Tanja ^a  

^a UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EEG SIGNALS; ELECTROENCEPHALOGRAPHIC SIGNALS; EMOTION RECOGNITION; EMOTIONAL STATE; FEATURE SETS; PICTURE SYSTEM; RECOGNITION RATES; SYSTEM-BASED;

ELECTROENCEPHALOGRAPHY; INTELLIGENT COMPUTING; KNOWLEDGE MANAGEMENT;

HUMAN COMPUTER INTERACTION;

EID: 77949407065     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACII.2009.5349316     Document Type: Conference Paper

References (26)

1. L. I. Aftanas, N. V. Reva, A. A. Varlamov, S. V. Pavlov, and V. P. Makhnev. Analysis of evoked EEG synchronization and desynchronization in conditions of motional activation in humans: Temporal and topographic characteristics. Neuroscience and behavioral physiology, 34(8):859-867, October 2004.
2. K. Becker. Varioport™. http://www.becker-meditec.de, 2003.
3. M. Bradley and P. J. Lang. The international affective picture system (iaps) in the study of emotion and attention. In J. A. Coan and J. J. B. Allen, editors, Handbook of Emotion Elicitation and Assessment, chapter 2, pages 29-46. New York: Oxford University Press, 2007.
4. M. M. Bradley, M. Codispoti, B. N. Cuthbert, and P. J. Lang. Emotion and motivation I: Defensive and appetitive reactions in picture processing. Emotion, 1(3):276-298, September 2001.
5. M. M. Bradley and P. J. Lang. Measuring emotion: The self-assessment manikin and the semantic differential. Journal of Behavior Therapy and Experimental Psychiatry, 25:49-59, 1994.
6. G. Chanel, J. Kronegg, D. Grandjean, and T. Pun. Emotion assessment: Arousal evaluation using EEG's and peripheral physiological signals. In B. Gunsel, A. K. Jain, A. M. Tekalp, and B. Sankur, editors, Proc. Int. Workshop Multimedia Content Representation, Classification and Security (MRCS), volume 4105, pages 530-537, Istanbul, Turkey, 2006. Lecture Notes in Computer Science, Springer.
7. C.-C. Chang and C.-J. Lin. LIBSVM: a Library for Support Vector Machines, 2008. Last updated: May 13, 2008.
8. B. N. Cuthbert, H. T. Schupp, M. M. Bradley, N. Birbaumer, and P. J. Lang. Brain potentials in affective picture processing: covariation withautonomic arousal and affective report. Biol Psychol, 52(2):95-111, Mar. 2000.
9. R. J. Davidson. Anterior cerebral asymmetry and the nature of emotion. Brain and Cognition, 20(1):125-151, Sep 1992.
10. R. J. Davidson, P. Ekman, C. D. Sarona, J. A. Senulis, and W. V. Friesen. Approach / withdrawal and cerebral asymmetry: Emotional expression and brain physiology. Journal of Personality and Social Psychology, 58(2):330-341, Feb 1990.
11. A. Haag, S. Goronzy, P. Schaich, and J. Williams. Emotion recognition using bio-sensors: First steps towards an automatic system. Lecture Notes in Computer Science, 3068:33-48, 2004.
12. M. Honal. Identifying user state using electroencephalographic data. In Proceedings of the International Conference on Multimodal Input (ICMI), 2005.
13. M. Honal and T. Schultz. Determine task demand from brain activity. In Biosignals 2008, 2008.
14. C. W. Hsu, C. C. Chang, and C. J. Lin. A practical guide to support vector classification. Technical report, Department of Computer Science, Taipei, 2003. Last updated: May 21, 2008.
15. H. H. Jasper. The ten-twenty electrode system of the international federation in electroencephalography and clinical neurophysiology. EEG Journal, 10:371-375, 1958.
16. A. Keil, M. M. Bradley, O. Hauk, B. Rockstroh, T. Elbert, and P. J. Lang. Large-scale neural correlates of affective picture processing. Psychophysiology, 39(5):641-649, Sept. 2002. Clinical Trial.
17. K. H. Kim, S. W. Bang, and S. R. Kim. Emotion recognition system using short-term monitoring of physiological signals. Medical and Biological Engineering and Computing, 42:419-427, 2004.
18. M. Kostyunina and M. Kulikov. Frequency characteristics of eeg spectra in the emotions. Neuroscience and Behavioral Physiology, 26(4):340-343, July 1996.
19. P. Lang, M. Bradley, and B. Cuthbert. International affective picture system (iaps): Affective ratings of pictures and instruction manual. Technical Report A-6, University of Florida, Gainesville, FL, 2005.
20. C. Mayer. UKA {EMG\EEG} Studio v2.0, 2005.
21. T. Musha, Y. Terasaki, H. A. Haque, and G. A. Ivamitsky. Feature extraction from EEGs associated with emotions. Artificial Life and Robotics, 1(1):15-19, March 1997.
22. R. W. Picard and J. Healey. Affective wearables. In ISWC, pages 90-97, 1997.
23. R.W. Picard, E. Vyzas, and J. Healey. Toward machine emotional intelligence: Analysis of affective physiological state. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23:1175-1191, Oct 2001.
24. B. Reeves and C. Nass. The Media Equation: How People Treat Computers, Televisions, and New Media as Real People and Places. Cambridge University Press, 1995.
25. K. R. Scherer. Speech and Emotional States., pages 189-220. Speech Evaluation in Psychiatry. Grune & Stratton., New York, j. darby edition, 1981.
26. K. Takahashi. Remarks on svm-based emotion recognition from multi-modal bio-potential signals. Robot and Human Interactive Communication, 2004. ROMAN 2004. 13th IEEE International Workshop on Robot and Human Interactive Communication, pages 95-100, 2004.