Open AccessA Prediction of Emotions for Recognition of Facial Expressions using Deep Learning
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1183.0982s1119
Subject(s) - normalization (sociology) , computer science , artificial intelligence , preprocessor , convolutional neural network , pattern recognition (psychology) , facial recognition system , data pre processing , deep learning , facial expression , raw data , facial expression recognition , speech recognition , sociology , anthropology , programming language
Automated facial expression recognition can greatly improve the human–machine interface. Many deep learning approaches have been applied in recent years due to their outstanding recognition accuracy after training with large amounts of data. In this research, we enhanced Convolutional Neural Network method to recognize 6 basic emotions and compared some pre processing methods to show the influences of its in CNN performance. The preprocessing methods are :resizing, mean, normalization, standard deviation, scaling and edge detection . Face detection as single pre-processing phase achieved significant result with 100 % of accuracy, compared with another pre-processing phase and raw data.