Authors:
Sudipta Ghosh,Sanjib Ghosh,Arpan Dutta ,Gopal Paul,DOI NO:
https://doi.org/10.26782/jmcms.2013.07.00004Keywords:
facial features ,emotion ,fuzzy relation,Mamdani type,Abstract
Aim of this paper is providing a novel method for evaluating emotion ilicitation procedures based on emotion recognition. Attention should be paid to physiological signals for emotion recognition compared to audiovisual emotion channels such as facial expression or speech. This paper focuses on an idea to define emotion from different perspectives and explore possible causes and variations of different parameters. Here the authors determined the scope of fuzzy relational approach to human emotion identification from facial expression. Initially the facial features are extracted from selective regions which are fuzzified and mapped onto an emotion space. This has been implemented using Mamdani type relational model. In subsequent stages Max-min inverse fuzzy relation has been used to determine the fuzziness of emotions if values of facial expressions are known.Refference:
I.Datcu Dragos, Rothkrantz Léon J. M., “Emotion recognition using bimodal data fusion,”. CompSysTech 2011,122-128.
II.Zia Uddin Md., Lee J. J., Kim T.-S., “Independent shape component-based human activity recognition via Hidden Markov Model,” Appl. Intell. 33(2), 193-206 (2010)
III.Yang Yong, Zhengrong Chen, Liang Zhu, Wang Guoyin “Attribute Reduction for Massive Data Based on Rough Set Theory and MapReduce,” RSKT 2010, 672-678.
IV.Chuan-Yu Chang, Shang-Cheng Li, Pau-Choo Chung, Jui-Yi Kuo, Yung-Chin Tu: “Automatic Facial Skin Defect Detection System,” BWCCA 2010, 527-532.
V.O. A. Uwechue and S. A. Pandya, “Human Face Recognition Using Third-Order Synthetic Neural Networks,” Boston, MA: Kluwer,
VI.Bhavsar A. and Patel H. M., “Facial Expression Recognition Using Neural Classifier and Fuzzy Mapping,” IEEE Indicon 2005 Conference, Chennai, India.
VII.Guo Yimo, Gao Huanping, “Emotion Recognition System in Images Based On Fuzzy Neural Network and HMM,” Proc. 5th IEEE Int. Conf. on Cognitive Informatics (ICCI’06), IEEE 2006
VIII.Chakraborty A., Konar A., Chakraborty U. K. and Chatterjee A., “Emotion Recognition From Facial Expressions and Its Control Using Fuzzy Logic”, IEEE Transactions on Systems, Man and Cybernetics, IEEE 2009
IX.Zadeh L. A., “Fuzzy Sets”, Information and Control, vol. 8, no. 3, pp. 338-353, 1965.
X.Mendel J.M and Wu D., Perceptual Computing, IEEE Press, Wiley Publications, 2010.
XI.Cordon O., M. J del Jesus, Herrera F., “A proposal on reasoning methods in fuzzy rule-based classification systems,” Int. J. of Approximate Reasoning, Vol. 20, pp. 21-45, 1999.
XII.Das S., Halder A., Bhowmik P., Chakraborty A., Konar A., Nagar A. K., “Voice and Facial Expression Based Classification of Emotion Using Linear Support Vector,” 2009 Second International Conference on Developments in eSystems Engineering, IEEE 2009
XIII.Kharat G.U. and Dudul S.V., “Emotion Recognition from Facial Expression Using Neural Networks,” Human-Computer Sys. Intera., AISC 60, pp. 207–219 Springer-Verlag Berlin Heidelberg 200
Sudipta Ghosh, Sanjib Ghosh , Arpan Dutta ,Gopal Paul View Download