Publication 2019 DECEMBER VOL 1 Issue 1

Real Time Facial Emotion Recognition using Deep Learning

Avigyan Sinha, Aneesh R P  

 

Abstract - — An important role is played by human emotion recognition in the interpersonal relationships. Emotion is what separates us from other living beings. Its classification is essential for human computer interaction. In this paper, deep learning (similar to VGG-Net) is used to recognise human emotions through facial expressions. Here, in order to experiment with and train a deep convolutional network, the Kaggle’s FER2013 dataset has been used. This work has been successfully implemented in real time system. .

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Keywords –

Emotion Recognition, Deep Learning, VGG Net, FER2013, Computer Vision, Keras.


 

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Authors :

Avigyan Sinha

Regional center IHRD, Thiruvananthapuram

Aneesh.R.P

Regional center IHRD, Thiruvananthapuram

  


CITATION FORMAT

Avigyan Sinha, Aneesh R P " Real Time Facial Emotion Recognition using Deep Learning " International Journal of Innovations and Implementations in Engineering(ISSN 2454- 3489) , December 2019 vol 1

 


Copy Right 2017 -These are open access articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 
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