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Human Facial Expression Recognition using MANFIS Model

Authors: V. Gomathi, Dr. K. Ramar, A. Santhiyaku Jeevakumar

Abstract:

Facial expression analysis plays a significant role for human computer interaction. Automatic analysis of human facial expression is still a challenging problem with many applications. In this paper, we propose neuro-fuzzy based automatic facial expression recognition system to recognize the human facial expressions like happy, fear, sad, angry, disgust and surprise. Initially facial image is segmented into three regions from which the uniform Local Binary Pattern (LBP) texture features distributions are extracted and represented as a histogram descriptor. The facial expressions are recognized using Multiple Adaptive Neuro Fuzzy Inference System (MANFIS). The proposed system designed and tested with JAFFE face database. The proposed model reports 94.29% of classification accuracy.

Keywords: Adaptive neuro-fuzzy inference system, Facialexpression, Local binary pattern, Uniform Histogram

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1082139

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References:


[1] Guoying Zhao and Matti Pietikainen, "Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions", IEEE Trans. Syst., Man, Cybern.B, Cybern., vol. 29, no. 6, pp. 915-928, Jun. 2007.
[2] A. Mehrabian, "Communication without words", Psych. Today, vol. 2, no. 4, pp. 53-56, 1968.
[3] J.N. Bassili, "Emotion Recognition: The Role of Facial Movementand the Relative Importance of Upper and Lower Area of the Face", J. Personality and Social Psychology., vol. 37, pp. 2049-2059, 1979.
[4] Irene Kotsia, Ioannis Pitas," Facial Expression Recognition in Image Sequences Using Geometric Deformation Features and Support Vector Machines", IEEE Trans. on Image Processing., vol. 16, no. 1, pp. 172- 187, Jan. 2007.
[5] Y. Zhang and Q. Ji, "Active and dynamic information fusion for facial expression understanding from image sequences", IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 5, pp. 699-714, May 2005.
[6] Spiros Ioannou, George Caridakis, Kostas Karpouzis, and Stefanos Kollias, "Robust Feature Detection for Facial Expression Recognition" EURASIP Journal on Image and Video Processing, vol. 2007, pp. 1-22, May. 2007.
[7] Y. L. Tian, T. Kanade, and J. F. Cohn, "Recognizing action units for facial expression analysis", IEEE Trans. Pattern Anal. Mach. Intell.,vol. 23, no. 2, pp. 97-115, Feb. 2001.
[8] Mohammed Yeasin, Baptiste Bullot, and Rajeev Sharma,"Recognition of Facial Expressions and Measurement of Levels of Interest From Video", IEEE Trans. Multimedia,, vol. 8, no. 3,pp. 500-508, Jun. 2006.
[9] Yan Tong, Wenhui Liao, and Qiang Ji,, "Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships", IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 10, pp. 1-17, Oct. 2007.
[10] Keith Anderson and Peter W. McOwan, "A Real-Time Automated System for the Recognition of Human Facial Expressions", IEEE Trans. Syst., Man, Cybern.B, Cybern., vol. 36, no. 1, pp. 96-105, Feb. 2006.
[11] I. Cohen, N. Sebe, S. Garg, L. S. Chen, and T. S. Huanga, "Facial expression recognition from video sequences: temporal and static modelling", Comput. Vis. Image Understand., vol. 91, pp. 160- 187,2003.
[12]M. Pantic and Ioannis Patras,"Dynamics of Facial Expression: Recognition of Facial Actions and Their Temporal Segments From Face Profile Image Sequences ", IEEE Trans. Syst., Man, Cybern.B, Cybern., vol. 36, no. 2, pp. 433-449, Apr. 2006.
[13] T. Ahonen, A. Hadid, and M. Pietikainen, "Face Description with Local Binary Patterns: Application to Face Recognition", IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 28, no. 12, pp. 2037-2041, Dec. 2006.
[14] M. Pantic and L. J. M. Rothkrantz, "Automatic analysis of facial expressions: the state of the art", IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 12, pp. 1424-1445, Dec. 2000.
[15] Guoying Zhao and Matti Pietikainen, "Facial Expression Recognition Using Constructive Feed forward Neural Networks", IEEE Trans. Syst., Man, Cybern.B, Cybern., vol. 34, no. 3, pp. 1588-1595, Jun. 2004.
[16] J.-S. Roger Jang, "ANFIS: Adaptive-Network-based Fuzzy Inference Systems", IEEE Trans. Syst., Man, Cybernatics., vol. 23, no. 03, May, pp. 665-685, 1993.
[17] J.-S. Roger Jang C.-T. Sun and E. Mizutani, "Chapter 19: ANFIS Applications" Neuro-Fuzzy and Soft Computing: a computational approach to learning and machine ntelligence, Prentice Hall, 1997, pp. 503-534.
[18] T. Ojala, M. Pietikainen, and T. Maenpaa, "Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns", IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 7, pp. 971-987, July 2002.