Paper Title

Facial Expression Recognition Using Fuzzy Art

Authors

  • Jinkal Patel
  • Tejas Kadiya

Keywords

Facial Emotion Detection, Fuzzy Logic , Human computer interaction (HCI) , Image processing

Abstract

Facial expression recognition is the fast growing and ever green research field for computer vision , Artificial Intelligence and Automation. It has the important role in Human – Computer Interaction. The facial expression recognition finds major application in areas like social interaction and social intelligence. This paper presents a method for Facial Expression Recognition using Fuzzy Art. This method aims to recognize emotions in human subjects on a computer, whose facial expression are analyzed by segmenting & localizing the individual frames in to regions of interest. Experimental results show that the detection accuracies of emotions for adult male, adult female, and children of 8–12 years are as high as 88%, 92%, and 96%, respectively, outperforming the percentage accuracies of the existing method .

Article Type

Published

How To Cite

Jinkal Patel, Tejas Kadiya. "Facial Expression Recognition Using Fuzzy Art".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.3, Issue 4, pp.827-829, URL :https://rjwave.org/ijedr/papers/IJEDR1504147.pdf

Issue

Volume 3 Issue 4 

Pages. 827-829

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