Real-time Algorithms for Facial Emotion Recognition : A Comparison of Different Approaches

Authors

  • Gitanjali Bhujbal  Department of Computer Engineering, Zeal College of Engineering and Research, Pune, Maharashtra, India
  • Sachin Patil  Department of Computer Engineering, Zeal College of Engineering and Research, Pune, Maharashtra, India
  • Paurnima Kawale  Department of Computer Engineering, Zeal College of Engineering and Research, Pune, Maharashtra, India

Keywords:

Convolutional Neural Network, Emotion Recognition, Facial Expression, Multilayer Perceptron, Support Vector Machine.

Abstract

Emotion recognition has application in various fields such as medicine (rehabilitation, therapy, counselling , etc.), e-learning, entertainment, emotion monitoring, marketing, law. Different algorithms for emotion recognition include feature extraction and classification based on physiological signals, facial expressions, body movements. In this paper, we present a comparison of five different approaches for real-time emotion recognition of four basic emotions (happiness, sadness, anger and fear) from facial images.

References

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

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Published

2022-03-30

Issue

Volume 8, Issue 2, March-April-2022

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Gitanjali Bhujbal, Sachin Patil, Paurnima Kawale, " Real-time Algorithms for Facial Emotion Recognition : A Comparison of Different Approaches " International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 2, pp.338-342, March-April-2022.