5. Farahani, F.S., Sheikhan, M., Farrokhi A., A fuzzy approach for facial emotion recognition, Fuzzy Systems (IFSC), 2013 13th Iranian Conference on, vol., no., pp.1,4, 27-29 Aug. 2013.
6. Yuwen, W., Hong, L., Hongbin, Z., Modeling facial expression space for recognition, Intelligent Robots and Systems, 2005. (IROS 2005).2005 IEEE/RSJ International Conference on, vol., no., pp.1968,1973, 2-6 Aug. 2005.
7. Matiko, J.W., Beeby, S.P., Tudor, J., Fuzzy logic based emotion classification, Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, vol., no., pp.4389,4393, 4-9 May 2014.
8. Lee, Y-H., Han, W., Kim, Y., Kim, B, Facial Feature Extraction Using an Active Appearance Model on the iPhone, Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2014 Eighth International Conference on, vol., no., pp.196,201, 2-4 July 2014.10.1109/IMIS.2014.24
9. Seyedarabi, H., Aghagolzadeh, A., Khanmohammadi, S., Recognition of six basic facial expressions by feature-points tracking using RBF neural network and fuzzy inference system, Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on, vol.2, no., pp.1219,1222 Vol.2, 30-30 June 2004.
10. Lin, X., Wen, X., Lu, Z., Sun, Y., Film Affective Content Recognition Based on Fuzzy Inference, Business and Information Management, 2008. ISBIM '08. International Seminar on, vol.2, no., pp.34,37, 19-19 Dec. 2008.10.1109/ISBIM.2008.92
12. Castrillón, M., Déniz, O., Hernández, D., Lorenzo, J., A comparison of face and facial feature detectors based on the Viola–Jones general object detection framework, Volume 22, Issue 3, Pages 481-494, ISSN 0932-8092, May 2011.
13. Allen, G.J., Xu, R.Y.D., Jesse, S.J., Object tracking using camshift algorithm and multiple quantized feature spaces, Proceedings of the Pan-Sydney area workshop on Visual information processing. Australian Computer Society, Inc., 2004.