Emotion Recognition through Facial Expression Using CNN

In recent past years, facial emotion recognition
has been widely used in many applications and fields such
as security, banking, marketing, and even in daily life
applications. People usually refer to their mode or
psychological states through emotions. There are many
attempts has been focused on facial emotion recognition
using deep learning techniques such as convolutional
neural network (CNN). In this paper, propose a novel
model to detect the changes of emotions of people, based
on CNN with some popular libraries such as TensorFlow
and Keras. The experimental results of the proposed
model show the model performance in term of accuracy
achieved 99.59%.