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A Comprehensive Survey on Human Facial Expression Detection
Archana Verma, Lokesh Kumar Sharma
Pages - 171 - 182     |    Revised - 05-04-2013     |    Published - 30-04-2013
Volume - 7   Issue - 2    |    Publication Date - April 2013  Table of Contents
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KEYWORDS
Facial Expression, FACS, Fuzzy Inference System, Feature Extraction, HCI.
ABSTRACT
In the recent years recognition of Human's Facial Expression has been very active research area in computer vision. There have been several advances in the past few years in terms of face detection and tracking, feature extraction mechanisms and the techniques used for expression classification. This paper surveys some of the published work since 2001. The paper gives a time-line view of the advances made in this field, the applications of automatic face expression recognizers, the characteristics of an ideal system, the databases that have been used and the advances made in terms of their standardization and a detailed summary of the state of the art. The paper also discusses facial parameterization using FACS Action Units (AUs) and advances in face detection, tracking and feature extraction methods. It has the important role in the humancomputer interaction (HCI) systems. There are multiple methods devised for facial feature extraction which helps in identifying face and facial expressions.
CITED BY (7)  
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6 Perikos, I., Ziakopoulos, E., & Hatzilygeroudis, I. (2014). Recognizing Emotions from Facial Expressions Using Neural Network. In Artificial Intelligence Applications and Innovations (pp. 236-245). Springer Berlin Heidelberg.
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Mr. Archana Verma
C.C.E.T. Bhilai - India
archana.ver2k@gmail.com
Mr. Lokesh Kumar Sharma
National Institute of Occupational Health Ahmedabad, 380016, India - India