Facial Expression Recognition Using CNN with Keras

Abstract

Facial Expressions are an essential feature of non-verbal communication, as we move towards the digitization the human computer interactions plays a vital role. The emotional changes results change in the expressions. This paper elaborates development of Deep Convolutional Neural Network Model using tf.keras for building and training Deep Learning Model. The aim is to classify facial image into one of the seven face detection classifiers using open CV and one of its classifiers for drawing the boundary box around the face to detect the correct expression. For training the CNN models we have used 48x48 grey-scale images from Kaggle's ICMP 2013-Fecial Expression Recognition (FER) dataset

Topics & Concepts