Development of A Real-Time Emotion Recognition System using Facial Expressions

Abstract

The face depicts the identity of the individual and draws attention towards their psychological state. The face shows a wide range of expressions in reaction to various instincts and their surrounding environment. In this paper, we determine the algorithm used to recognize the facial expression of a person. Four different types of expressions are fed to the system. Machine Learning and Deep Learning-based models are trained with datasets to unveil human expressions. The experimental result from the network is successful as it matches with the virtual learning of the student. The sample is trained and tested, through which the machine builds a predictive model. This model achieved an accuracy of 99%.