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Facial Expression Recognition using CNN

Author

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  • S. Mary Hima Preethi
  • P. Sobha
  • P. Rajalakshmi Kamalini
  • K. Gowri Raghavendra Narayan

Abstract

People have consistently been able to perceive and recognize faces and their feelings. Presently PCs can do likewise. We propose a model which recognizes human faces and classifies the emotion on the face as happy, angry, sad, neutral, surprise, disgust or fear. It is developed utilizing a convolutional neural network(CNN) and involves various stages. All these are carried out using a dataset available on the Kaggle repository named fer2013. Precision and execution of the neural system can be assessed utilizing a confusion matrix. We applied cross-approval to decide the ideal hyper-parameters and assessed the presentation of the created models by looking at their training histories.

Suggested Citation

  • S. Mary Hima Preethi & P. Sobha & P. Rajalakshmi Kamalini & K. Gowri Raghavendra Narayan, 2020. "Facial Expression Recognition using CNN," 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. 6(2), pages 179-183, April.
    • Handle: RePEc:jbh:ijsrcs:v6:y2020:i2:id:hcseit206248
    DOI: 10.32628/CSEIT206248
    Note: Article URL: https://ijsrcseit.com/CSEIT206248
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