Open Access
Recognition of Face Emotion using Convolutional Neural Network
Author(s) -
Panyam Narahari Sastry,
Mohammed Sameer Syed
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i7033.079920
Subject(s) - computer science , convolutional neural network , artificial intelligence , facial recognition system , surprise , computer vision , facial expression , three dimensional face recognition , emotion recognition , face (sociological concept) , python (programming language) , speech recognition , pattern recognition (psychology) , face detection , psychology , social psychology , social science , sociology , operating system
Recognition of face emotion has been a challenging task for many years. This work uses machine learning algorithms for both, a real-time image or a stored database image in the area of facial emotion recognition system. So it is very clear that, deep learning technology becomes important for Human-computer interaction (HCI) applications. The proposed system has two parts, real-time based facial emotion recognition system and also the image based facial emotion recognition system. A Convolutional Neural Network (CNN) model is used to train and test different facial emotion images in this research work. This work was executed successfully using Python 3.7.6 platform. The input Face image of a person was taken using the webcam video stream or from the standard database available for research. The five different facial emotions considered in this work are happy, surprise, angry, sad and neutral. The best recognition accuracy with the proposed system for the webcam video stream is found to be 91.2%, whereas for the input database images is found to be 90.08%.