Emotion Detection of Human Face
Rohan Nigam1, Neeraj Kumar2, Subhadeep Mondal3
1Rohan Nigam, currently pursuing Bachelor of Technology in Computer Science and Engineering. SRM Institute of Science and Technology, Ramapuram.
2Neeraj Kumar, currently pursuing Bachelor of Technology in Computer Science and Engineering. SRM Institute of Science and Technology, Ramapuram
3Subhadeep Mondal, currently pursuing Bachelor of Technology in Computer Science and Engineering. SRM Institute of Science and Technology, Ramapuram.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 5521-5524 | Volume-9 Issue-1, October 2019 | Retrieval Number: A2070109119/2019©BEIESP | DOI: 10.35940/ijeat.A2070.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Sentiment, Convolution, Opinions, Emotions.