A REVIEW ON FACIAL EMOTION RECOGNITION THAT USES MACHINE LEARNING ALGORITHMS

Abstract

For a computer, identification of human emotion from a still image of the human face is a complex, challenging, and heavily calculative task. Classification of human emotion is done by using a different combination of convolutional neural networks (CNN) that task is known as Facial Emotion Recognition (FER). CNN model is achieved by training and testing on lots of same categorical images from the dataset using different hyperparameter tuning. The main contribution of this work is to look for various CNN architectures, hyperparameter tuning and compare the performance of those CNN models based on accuracy and loss while training and testing on Facial Emotion Recognition. This study shall help to provide a guide for the selection of an appropriate CNN model and tuning parameter according to the needs of the applicant. Keywords— Application of CNN, Convolutional Neural Network, Deep-learning, Facial Emotion Recognition, FER2013