A Brief Review of Facial Expressions Recognition System

  • Devashree Joshi
Keywords: facial emotion recognition, deep learning based FER, LBP, LDP.


A wide range of applications exist for Facial Expression Recognition (FER) like neutral, sadness, surprise, happiness, fear, anger, contempt and disgust, which include Emotional / Mental state recognition, stress and anxiety detection in medial domain,  security domain, human computer interaction etc. In computer vision field Facial Expression Recognition is very interesting and challenging area. In this paper, review some of the facial expression recognition methods are presented. The feature extraction techniques play a crucial role. In this paper a few Facial Feature Extraction techniques like Local Binary Pattern, Local Directional Pattern are discussed. Also recognition based on support vector machines and deep learning algorithms are discussed and compared.   


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How to Cite
Joshi, D. (2018, March 26). A Brief Review of Facial Expressions Recognition System. ASIAN JOURNAL FOR CONVERGENCE IN TECHNOLOGY (AJCT ) -UGC LISTED, 4(I). Retrieved from http://asianssr.org/index.php/ajct/article/view/388