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2012 (Vol. 4, Issue: 09)
Article Information:

Challenging of Facial Expressions Classification Systems: Survey, Critical Considerations and Direction of Future Work

Amir Jamshidnezhad and M.D. Jan Nordin
Corresponding Author:  Amir Jamshidnezhad 

Key words:  Classification, facial expressions recognition, features extraction, fuzzy logic, genetic algorithm, ,
Vol. 4 , (09): 1155-1165
Submitted Accepted Published
December 30, 2011 January 13, 2012 May 01, 2012
Abstract:

The main purpose of this study is analysis of the parameters and the affects of those on the performance of the facial expressions classification systems. In recent years understanding of emotions is a basic requirement in the development of Human Computer Interaction (HCI) systems. Therefore, an HCI is highly depended on accurate understanding of facial expression. Classification module is the main part of facial expressions recognition system. Numerous classification techniques were proposed in the previous researches to use in the facial expressions recognition systems. In order to evaluate the performance of the classification system we should consider the parameters which influence the classification results. Therefore, in this article, the most recent classification techniques for the purpose of facial expressions recognition as well as features extraction were surveyed and the parameters which affect the accuracy of results were considered and discussed. Based on this article, the features type, number of extracted features, database and image type are the main parameters that influence the accuracy rate of classification models. Furthermore, as the direction of the future work of this research, a Genetic-Fuzzy classification model was proposed for facial expressions recognition to fulfill the classification requirements.
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  Cite this Reference:
Amir Jamshidnezhad and M.D. Jan Nordin, 2012. Challenging of Facial Expressions Classification Systems: Survey, Critical Considerations and Direction of Future Work.  Research Journal of Applied Sciences, Engineering and Technology, 4(09): 1155-1165.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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