Open AccessAutomatic Facial Expressions and Identification of different face reactions using Convolutional Neural Network
Author(s) -
Anand R*,
Kalkeseetharaman P.K,
Naveen Kumar S
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l2782.1081219
Subject(s) - convolutional neural network , computer science , facial expression , identification (biology) , artificial intelligence , expression (computer science) , face (sociological concept) , convolution (computer science) , deep learning , matching (statistics) , automation , artificial neural network , facial recognition system , pattern recognition (psychology) , speech recognition , machine learning , engineering , programming language , mathematics , mechanical engineering , social science , statistics , botany , sociology , biology
Automatic Face expression is the significant device in computer apparition and a predictable knowledge discovery application in automation, personal security and moveable devices. However, the state-of-the-art machine and deep learning (DL) methods has complete this technology game altering and even better human matching part in terms of accurateness. This paper focuses on put on one of the progressive deep learning tools in face expression to achieve higher accuracy. In this paper, we focusses on Automatic Facial Expressions and Identification of different face reactions using Convolution Neural Network. Here, we framed our own data and trained by convolution neural networks. Human behavior can be easily predicted using their facial expression, which helps marketing team, psychological team and other required team to understand the human facial expression more clearly.