EMOTIONAL FACIAL EXPRESSION RECOGNITION FROM TWO DIFFERENT FEATURE DOMAINS

Jonghwa Kim, Frank Jung

2010

Abstract

There has been a significant amount of work on automatic facial expression recognition towards realizing affective interfaces in human-computer interaction (HCI). However, most previous works are based on specific users and dataset-specific methods and therefore the results should be strongly dependent on their lab settings. This makes it difficult to attain a generalized recognition system for different applications. In this paper, we present efficiency analysis results of two feature domains, Gabor wavelet-based feature space and geometric position-based feature space, by applying them to two facial expression datasets that are generated in quite different environmental settings.

References

  1. Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollias, S., Fellenz, W., and Taylor, J. G. (2001). Emotion recognition in human-computer interaction. IEEE Signal Processing Mag., 18:32-80.
  2. Fasel, B. and Luettin, J. (2003). Automatic facial expression analysis: A survey. Pattern Recognition, 36(1):259- 275.
  3. Field, D. J. (1987). Relations between the statistics of natural images and the response properties of cortical cells. Journal of the Optical Society of America A, 4:2379- 2394.
  4. Jain, A. K. and Li, S. Z. (2005). Handbook of Face Recognition. Springer-Verlag New York, Inc., Secaucus, NJ, USA.
  5. Kim, J. and André, E. (2008). Emotion recognition based on physiological changes in music listening. IEEE Trans. Pattern Anal. Mach. Intell., 30(12):2067-2083.
  6. Lyons, M., Akamatsu, S., Kamachi, M., and Gyoba, J. (1998). Coding facial expressions with gabor wavelets. In FG 7898: Proceedings of the 3rd. International Conference on Face & Gesture Recognition, pages 200-205, Washington, DC, USA.
  7. Pantic, M. and Rothkrantz, L. (2004). Facial Action Recognition for Facial Expression Analysis from Static Face Images. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 34(3):1449-1461.
  8. Wallhoff, F. (2006). Facial expressions and emotion database. Universitaet Muenchen.
  9. Zhan, C., Li, W., Safaei, F., and Ogunbona, P. (2007). Face to face communications in multiplayer online games: A real-time system. In HCI (4), pages 401-410.
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Paper Citation


in Harvard Style

Kim J. and Jung F. (2010). EMOTIONAL FACIAL EXPRESSION RECOGNITION FROM TWO DIFFERENT FEATURE DOMAINS . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 631-634. DOI: 10.5220/0002737306310634


in Bibtex Style

@conference{icaart10,
author={Jonghwa Kim and Frank Jung},
title={EMOTIONAL FACIAL EXPRESSION RECOGNITION FROM TWO DIFFERENT FEATURE DOMAINS},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={631-634},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002737306310634},
isbn={978-989-674-021-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - EMOTIONAL FACIAL EXPRESSION RECOGNITION FROM TWO DIFFERENT FEATURE DOMAINS
SN - 978-989-674-021-4
AU - Kim J.
AU - Jung F.
PY - 2010
SP - 631
EP - 634
DO - 10.5220/0002737306310634