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

Authors

  • 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

Keywords:

Facial Expression, Face recognition, CNN

Abstract

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.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-01-20

Issue

Volume 4, Issue 2, January-February-2018

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
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.