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

Author

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  • Gitanjali Bhujbal
  • Sachin Patil
  • Paurnima Kawale

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.

Suggested Citation

  • Gitanjali Bhujbal & Sachin Patil & Paurnima Kawale, 2022. "Real-time Algorithms for Facial Emotion Recognition : A Comparison of Different Approaches," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 8(2), pages 338-342, March.
    • Handle: RePEc:jbh:ijsrcs:v8:y2022:i2:id:hcseit2283201
    Note: Article URL: https://ijsrcseit.com/CSEIT2283201
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