International Journal of Information Technology and Computer Science(IJITCS)

ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)

Published By: MECS Press

IJITCS Vol.7, No.3, Feb. 2015

Facial Expression Classification Using Artificial Neural Network and K-Nearest Neighbor

Full Text (PDF, 294KB), PP.27-32

Views:95   Downloads:3


Tran Son Hai, Le Hoang Thai, Nguyen Thanh Thuy

Index Terms

Facial Expression Classification, Artificial Neural Network (ANN), K-Nearest Neighbor (K-NN), Independent Component Analysis (ICA)


Facial Expression is a key component in evaluating a person's feelings, intentions and characteristics. Facial Expression is an important part of human-computer interaction and has the potential to play an equal important role in human-computer interaction. The aim of this paper is bring together two areas in which are Artificial Neural Network (ANN) and K-Nearest Neighbor (K-NN) applying for facial expression classification. We propose the ANN_KNN model using ANN and K-NN classifier. ICA is used to extract facial features. The ratios feature is the input of K-NN classifier. We apply ANN_KNN model for seven basic facial expression classifications (anger, fear, surprise, sad, happy, disgust and neutral) on JAFEE database. The classifying precision 92.38% has been showed the feasibility of our proposal model.

Cite This Paper

Tran Son Hai, Le Hoang Thai, Nguyen Thanh Thuy,"Facial Expression Classification Using Artificial Neural Network and K-Nearest Neighbor", International Journal of Information Technology and Computer Science(IJITCS), vol.7, no.3, pp.27-32, 2015. DOI: 10.5815/ijitcs.2015.03.04


[1]G. Donato, M.S. Barlett, J.C. Hager, P. Ekman, T.J. Sejnowski, “Classifying facial actions”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 21, No 10,pp 974–989, 1999.

[2]A. Mehrabian, “Communication Without Words”, Psychology Today, Vol. 2, No. 4, pp. 53–56, 1968.

[3]Ting-Fan Wu, Chih-Jen Lin, and Ruby C. Weng, “Probability Estimates for Multi-class Classification by Pairwise Coupling”. J. Mach. Learn. Res. 5, 975-1005, 2004

[4]L. H. Thai, T. S. Hai, N. T. Thuy, “Image Classification using Support Vector Machine and Artificial Neural Network”, International Journal of Information Technology and Computer Science, Vol 4, No 5, pp. 32-38, 2012, DOI: 10.5815/ijitcs.2012.05.05.

[5]L. H. Thai, N. D. T. Nguyen, T. S. Hai, “Facial Expression Classification System Integrating Canny, Principal Component Analysis and Artificial Neural Network”, 3rd International Conference on Machine Learning and Computing, ICMLC Proceedings, Vol. 4, pp. 306-309, 2011.

[6]Zhang Qiang, Chen Chen, Zhou Changjun, Wei Xiaopeng, "Independent Component Analysis of Gabor Features for Facial Expression Recognition," Information Science and Engineering, 2008. ISISE '08. International Symposium on, vol.1, no., pp.84, 87, DOI: 10.1109/ISISE.2008.323, 2008

[7]H.M, Ebeid, “Using MLP and RBF neural networks for face recognition: An insightful comparative case study”, Computer Engineering & Systems (ICCES), 2011 International Conference Proceesings, pp. 123-128, 2011.

[8]Ying-Li Tian; Kanade, T.; Cohn, J.F., "Recognizing action units for facial expression analysis," Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.23, no.2, pp.97,115, DOI: 10.1109/34.908962, 2011

[9]P. S. Hiremath, Manjunatha Hiremath, “Depth and Intensity Gabor Features Based 3D Face Recognition Using Symbolic LDA and AdaBoost”, International Journal of Image, Graphics, and Signal Processing, Vol 6, No 1, pp. 24-31, 2013, DOI: 10.5815/ijigsp.2014.01.05.

[10]G.W. Cottrell, J. Metcalfe, “EMPATH: face, gender and emotion recognition using holons”, Advances in Neural Information Processing Systems, Morgan Kaufman, San Mateo, CA, Vol. 3, pp. 564–571, 1991

[11]Zhengyou Zhang; Lyons, M., Schuster, M.; Akamatsu, S., "Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron," Automatic Face and Gesture Recognition, Proceedings. Third IEEE International Conference on, pp.454, 459, 14-16, 1998

[12]D. Huang; C. Shan; M. Ardabilian, Y. Wang, L. Chen, “Local Binary Patterns and Its Application to Facial Image Analysis: A Survey”, Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions, Vol. 41, No. 6, pp. 765-781, 2011, DOI: 10.1109/TSMCC.2011.2118750.

[13]Y. Cheon, D. Kim, “A Natural Facial Expression Recognition Using Differential-AAM and k-NNS”, Multimedia, 2008. ISM 2008. Tenth IEEE International Symposium Proceedings, pp. 220-227, 2008.

[14]Lorincz, Andras; Jeni, Laszlo Attila; Szabo, Zoltan; Cohn, Jeffrey F.; Kanade, Takeo, "Emotional Expression Classification Using Time-Series Kernels," Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE Conference on , vol., no., pp.889,895, 2013

[15]B. Fasel, Juergen Luettin, “Automatic facial expression analysis: a survey”, Pattern Recognition, Vol. 36, no. 1, pp. 259-275, ISSN 0031-3203, S0031-3203(02)00052-3, 2003.