Emotion Detection Using Facial Recognition
9 Pages Posted: 9 Jul 2020
Date Written: May 15, 2020
Abstract
Humans express their emotions in various ways like body language, speech, facial expressions, etc. We have used facial expressions to detect emotions which are very crucial and have wide applications in machine learning, especially in medical, communication, education, and entertainment fields. Old age health monitoring, Security systems, Psychology and computer vision, Driver fatigue monitoring are few real-world applications of emotion detection. This system aims to recognize seven emotions namely Anger, Sad, Happiness, Surprise, Neutral, Surprise, and Disgust. Our system proposes the Emotion detection of humans using facial expressions with Convolutional Neural Network (CNN). A literature review is carried out to select the best deep learning model. The dominant algorithm applied is CNN. The data-set used is Fer2013 and JAFFE.
Keywords: Emotion Detection, Deep Learning (DL), Convolution Neural Network (CNN)
JEL Classification: C00, L15
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