Open Access Open Access  Restricted Access Subscription or Fee Access

A Comparative Study on Emotion and Gender Prediction using OpenCV Library and Deep Learning

Awanit Kumar, Aditi Srivastava, Mancy Gupta

Abstract


Abstract

In this paper, we are going to study and develop a convolutional neural network (CNN) using EmoPy python Library for training our dataset, which performs human facial recognition as well as their gender prediction with real-time emotions. This model will work with OpenCV, Keras 2.3.1 and EmoPy. A fully connected layer of convolutional neural network which identifies the gender as well as the art of emotion of the human for which lots of data training has been done along with our own images.


Keywords


CNN, OpenCV, EmoPy, Keras, Deep Learning

Full Text:

PDF

Refbacks

  • There are currently no refbacks.