FACE EMOTION RECOGNITION WITH CONVOLUTIONAL NEURAL NETWORK

Abstract

Facial expression recognition is the part of facial recognition that is gaining more importance and its need increases enormously. The challenges include face identification and recognition, suitable data representation, appropriate classification scheme, appropriate database, among others.

Although there are methods to identify expressions using machine learning and artificial Intelligence techniques, this work tries to use deep learning and image classification method to recognize expressions and classify expressions according to images.

In this paper, we propose to implement a general convolutional neural network (CNN) building framework for designing real-time CNNs. We validate models by creating a real-time vision system that performs face detection and emotion classification tasks simultaneously in one step using proposed CNN architecture.

Keywords: convolutional neural network, face detection, facial recognition, TensorFlow, deep learning.