Open AccessEmotion Detection of Human Face
Author(s) -
Ravi Nigam,
Neeraj Kumar,
Subhadeep Mondal
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a2070.109119
Subject(s) - facial expression , computer science , emotion detection , convolutional neural network , sentiment analysis , face (sociological concept) , artificial intelligence , face detection , artificial neural network , natural language processing , human–computer interaction , speech recognition , emotion recognition , facial recognition system , pattern recognition (psychology) , linguistics , philosophy
Facial emotion analysis is the basic idea to train the system to understand the different facial expressions of human beings. The Facial expressions are recorded by the use of camera which is attached to user device. Additionally this project will be helpful for the online marketing of the products as it can detect the facial expressions and sentiment of the person. It is the study of people sentiment, opinions and emotions. Sentiment analysis is the method by which information is taken from the facial expressions of people in regard to different situations. The main aim is to read the facial expressions of the human beings using a good resolution camera so that the machine can identify the human sentiments. Convolutional neural network is used as an existing system which is unsupervised neural network to replace that with a supervised mechanism which is called supervised neural network. It can be used in gaming sector, unlock smart phones, automated facial language translation etc.