Emotion Recognition System based on Facial Expressions
Abhilasha Dey1, T.Sujithra2, Barsha Anand3
1Abhilasha Dey, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Dr. T Sujithra Dey, Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3Barsha Anand, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 939-943 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6490048419/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Emotion recognition has been a challenging thing in the industry for many years. Leveraging our knowledge skills and science on the data acquired and extracting useful information is not an easy task. However, since the birth of deep learning in computer vision, emotion recognition has turned into a wildly-tackled research problem. In this paper we are implementing a convolution neural network (CNN) building framework to design real time CNNs. We are making a real-time emotion recognition system which accomplishes the task of face detection and emotion classification simultaneously in one step using our proposed CNN framework.
Keywords: Convolution Neural Network (CNN), Emotion Recognition
Scope of the Article: Pattern Recognition