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

Authors(2):

Chirag Ravat, Shital A. Solanki
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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.

Chirag Ravat, Shital A. Solanki

Facial Expression, Face recognition, CNN

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Publication Details

Published in : Volume 4 | Issue 2 | January-February - 2018
Date of Publication Print ISSN Online ISSN
2018-01-20 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
151-158 IJSRSET184227   Technoscience Academy

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.
URL : http://ijsrset.com/IJSRSET184227.php

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