Survey on Different Methods to Improve Accuracy of The Facial Expression Recognition Using Artificial Neural Networks

Authors(2) :-Chirag Ravat, Shital A. Solanki

Facial expression recognition by computer plays a key role in human computer interaction. FER has many applications such as Human-Robot interaction, surveillance, Driving-safety, Health-care, Intelligent tutorial system, music for mood, etc. Basically, Facial expression recognition can be done using Artificial Neural Network (ANN) and Support Vector Machine (SVM). So the accuracy of facial expression depends on these two phases, Feature extraction phase and classification phase. In this paper I’m going to survey different methods of FER and even face recognition methods.

Authors and Affiliations

Chirag Ravat
M.E., I.T. Department, L.D College Of Engineering, Ahmedabad, Gujarat, India
Shital A. Solanki
Assist. Prof., I.T. Department, L.D College Of Engineering, Ahmedabad, Gujarat, India

Facial Expression, Face recognition, CNN

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Publication Details

Published in : Volume 4 | Issue 2 | January-February 2018
Date of Publication : 2018-01-20
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 151-158
Manuscript Number : IJSRSET184227
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Chirag Ravat, Shital A. Solanki, " Survey on Different Methods to Improve Accuracy of The Facial Expression Recognition Using Artificial Neural Networks, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 2, pp.151-158, January-February-2018.
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