To Recognize Human Emotions Based on Facial Expression Recognition : A Literature Survey

Authors

  • Komal D. Khawale  Department of Computer Engineering, Amravati University, SSGMCE, Shegaon, Maharashtra, India
  • D. R. Dhotre  Department of Computer Engineering, Amravati University, SSGMCE, Shegaon, Maharashtra, India

Keywords:

Human Emotion Recognition, PHOG, Emotion Recognition, Expression Recognition.

Abstract

Facial Emotion Recognition has been a very significant issue and an advanced area of research in the field of Human- Machine Interaction and Image Processing. Human-Machine relation is a major field for that different approaches have been proposed for developing methods for recognition of automated facial emotion analysis using not only facial expressions, also speech recognition. Facial expression detection the multiple varieties of human faces like texture, color, shape, expressions etc. are considered. Firstly, to detect a facial emotions of the human with variations in the facial movements including mouth, eyes, and nose are to be determined and after that considering those features using a very good classifier to recognize the human emotions. This paper gives a brief summary of emotion recognition methods like Feature Fusion, Deep Auto-Encoder, Sigma Pi-Neural Network, Genetic Algorithm, PHOG and Hierarchical Expression Model etc. which are used to recognize human emotions are presented.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-02-28

Issue

Volume 2, Issue 1, January-February-2017

Section

Research Articles

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How to Cite

[1]
Komal D. Khawale, D. R. Dhotre, " To Recognize Human Emotions Based on Facial Expression Recognition : A Literature Survey, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 1, pp.35-41, January-February-2017.