International Journal of Computer Games Technology
Volume 2008 (2008), Article ID 542918, 7 pages
doi:10.1155/2008/542918
Research Article
A Real-Time Facial Expression Recognition System for Online Games
School of Computer Science and Software Engineering, University of Wollongong, NSW 2522, Australia
Received 31 July 2007; Accepted 31 January 2008
Academic Editor: Kok Wai Wong
Copyright © 2008 Ce Zhan et al. This is an open access article distributed under the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Linked References
- http://www.pacificepoch.com.
- C. Zhan, W. Li, F. Safaei, and P. Ogunbona, “Facial expression recognition for multiplayer online games,” in Proceedings of the 3rd Australasian Conference on Interactive Entertainment, vol. 207, pp. 52–58, Perth, Australia, December 2006.
- A. Samal and P. A. Iyengar, “Automatic recognition and analysis of human faces and facial expressions: a survey,” Pattern Recognition, vol. 25, no. 1, pp. 65–77, 1992. View at Publisher · View at Google Scholar
- B. Fasel and J. Luettin, “Automatic facial expression analysis: a survey,” Pattern Recognition, vol. 36, no. 1, pp. 259–275, 2003. View at Publisher · View at Google Scholar
- M. Pantic and L. J. M. Rothkrantz, “Automatic analysis of facial expressions: the state of the art,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 12, pp. 1424–1445, 2000. View at Publisher · View at Google Scholar
- Y.-L. Tian, T. Kanade, and J. F. Cohn, Hand Book of Face Recognition, Springer, New York, NY, USA, 2004.
- G. Donato, M. S. Bartlett, J. C. Hager, P. Ekman, and T. J. Sejnowski, “Classifying facial actions,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, no. 10, pp. 974–989, 1999. View at Publisher · View at Google Scholar
- P. Ekman, Emotion in the Human Face, Cambridge University Press, New York, NY, USA, 1982.
- P. Ekman and W. Friesen, Facial Action Coding System (FACS):Manual, Consulting Psychologists Press, Palo Alto, Calif, USA, 1978.
- P. Viola and M. J. Jones, “Robust real-time object detection,” International Journal of Computer Vision, vol. 57, no. 2, pp. 137–154, 2004. View at Publisher · View at Google Scholar
- Y. Freund and R. E. Schapire, “A decision-theoretic generalization of online learning and an application to boosting,” in Proceedings of the 2nd European Conference on Computational Learning Theory (EuroCOLT '95), pp. 23–37, Barcelona, Spain, March 1995.
- R. Lienhart and J. Maydt, “An extended set of Haar-like features for rapid object detection,” in Proceedings of the International Conference on Image Processing (ICIP '02), vol. 1, pp. 900–903, Rochester, NY, USA, September 2002. View at Publisher · View at Google Scholar
- M. Lyons, S. Akamatsu, M. Kamachi, and J. Gyoba, “Coding facial expression with gabor wavelets,” in Proceedings of the 3rd IEEE International Conference on Automatic Face and Gesture Recognition, pp. 200–205, Nara, Japan, April 1998. View at Publisher · View at Google Scholar
- Z. Zhang, M. Lyons, M. Schuster, and S. Akamatsu, “Comparison between geometry-based and gabor-wavelets-based facial expression recognition using multi-layer perceptron,” in Proceedings of the 3rd IEEE International Conference on Automatic Face and Gesture Recognition, pp. 454–459, Nara, Japan, April 1998. View at Publisher · View at Google Scholar
- C.-W. Hsu and C.-J. Lin, “A comparison of methods for multiclass support vector machines,” IEEE Transactions on Neural Networks, vol. 13, no. 2, pp. 415–425, 2002. View at Publisher · View at Google Scholar · View at PubMed
- http://cobweb.ecn.purdue.edu/aleix/aleix_face_DB.html.
- http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html.
- http://www.bioid.com.
- http://www.mmk.ei.tum.de/~waf/fgnet/feedtum.html.
- S. Bogojevic and M. Kazemzadeh, The architecture of massive multiplayer online games, M.S. thesis, Lund Institute of Technology, Lund University, Lund, Sweden, 2003.