ITM Web Conf.
Volume 44, 2022International Conference on Automation, Computing and Communication 2022 (ICACC-2022)
|Number of page(s)||5|
|Published online||05 May 2022|
Deep Learning based Facial Emotion Recognition
Department of Computer Engineering, Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be University, Nerul, Navi Mumbai India
a Electronic Mail: firstname.lastname@example.org
Human Facial expression is the mirror of human emotions playing very significant role in nonverbal communication. In many applications like human machine interface, medical diagnosis, AI based games, market research etc. needs facial expression recognition. Although it is very easy task for humans, its bit challenging for machines to detect and recognize correct emotions from series of human facial expressions. Since decade, many researchers have tried different image processing, machine learning and deep learning-based approaches to correctly identify human emotions. Some of them could able to identify emotions but with more complexity. WE have proposed CNN model with 4 convolution layer and 2 FC layers which is giving good accuracy over the existing models with less complexity. It is performing better for all classes except fear and disgust.
Key words: Emotion Recognition / Facial Expressions / Emotion Classification / CNN
© The Authors, published by EDP Sciences, 2022
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