Facial Emotion Recognition Using ML Algorithms

Abstract

AbstractA facial expression is nothing but the movement of muscles under the skin covering the areas of the face. It can be used for non-verbal communication. Facial emotion recognition is considered as a process of identifying human emotions from various facial expressions. The facial expression for detecting an emotion has forever been a challenging task to achieve through computer algorithms. Facial emotion recognition (FER) is an active research area in the field of artificial intelligence, with several recent works and studies. The recent advancement in the area of computer vision and machine learning has made it possible to detect emotions from the images. This automatic emotion detection which is done based upon facial expression is an interesting research area that has presented and can be applied in several areas such as e-learning, safety, gaming, health, automobile and in machine–human interactions. Human emotions which were only possible to be recognized by a human brain can be detected and identified using a software as well. This particular technology is becoming more and more accurate and, hence, will eventually be able to detect emotions with a precision that human brains do. In this paper, we propose a technique called facial emotion recognition using convolutional neural networks and Haar cascade classifier.KeywordsFacial emotionConvolutional neural networkHaar cascade classifier algorithmBackground elimination