Challenging of facial expressions classification systems

Survey, critical considerations and direction of future work

Amir Jamshidnezhad, Md. Jan Nordin

Research output: Contribution to journalArticle

5 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1155-1165
Number of pages11
JournalResearch Journal of Applied Sciences, Engineering and Technology
Volume4
Issue number9
Publication statusPublished - 2012

Fingerprint

Human computer interaction
Feature extraction
Computer systems

Keywords

  • Classification
  • Facial expressions recognition
  • Features extraction
  • Fuzzy logic
  • Genetic algorithm

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science(all)

Cite this

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