Facial Expression Recognition Using Fuzzy Art

  Jinkal Patel,  Tejas Kadiya

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 .

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

Unique Identification Number - IJEDR1504147
Page Number(s) - 827-829
Pubished in - Volume 3 | Issue 4 | December 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Jinkal Patel,  Tejas Kadiya,   "Facial Expression Recognition Using Fuzzy Art", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 4, pp.827-829, December 2015, Available at :http://www.ijedr.org/papers/IJEDR1504147.pdf