371 213
Full Length Article
Volume 2 , Issue 2, PP: 57-63 , 2020

Title

Facial Expression Recognition with Gender Identification

Authors Names :   Shubham Gupta   1     Aarushi Dhawan   2     Arpit Gupta   3     Arun Kumar Dubey   4  

1  Affiliation :  Bharati Vidyapeeth's College of Engineering, INDIA

    Email :  shubhamgupta5111997@gmail.com


2  Affiliation :  Bharati Vidyapeeth's College of Engineering, INDIA

    Email :  aarushidhawan99@gmail.com


3  Affiliation :  Bharati Vidyapeeth's College of Engineering, INDIA

    Email :  guptaarpit09@yahoo.com


4  Affiliation :  Bharati Vidyapeeth's College of Engineering, INDIA

    Email :  arudubey@gmail.com



Doi   :  10.5281/zenodo.3944681

Received: March 12, 2020 Revised: April 19, 2020 Accepted: June 18, 2020

Abstract :

The human facial emotions recognition has attracted interest in the field of Artificial Intelligence. The emotions on a human face depicts what’s going on inside the mind. Facial expression recognition is the part of Facial recognition which is gaining more importance and need for it increases tremendously. Though there are methods to identify expressions using machine learning and Artificial Intelligence techniques, this work attempts to use convolution neural networks to recognize expressions and classify the expressions into 6 emotions categories. Various datasets are investigated and explored for training expression recognition models are explained in this paper and the models which are used in this paper are VGG 19 and RESSNET 18. We included facial emotional recognition with gender identification also. In this project we have used fer2013 and ck+ dataset and ultimately achieved 73% and 94% around accuracies respectively.

Keywords :

Facial Expression Recognition , Gender Identification

References :

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