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2021 | OriginalPaper | Chapter

Facial Expression Recognition System Using Different Methods

Authors : Sweta Mishra, Sheweta Talashi

Published in: Computer Networks and Inventive Communication Technologies

Publisher: Springer Nature Singapore

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Abstract

Facial expressions are one of the nonverbal channels through which the emotional state of a human being can be known. These convey the emotional state of an individual to others. There are four basic emotions—happy, sad, surprise and neutral. Facial expressions are identified using various parameters, e.g., distance measured when eyebrows are raised gives us a particular facial expression. Likewise, thickness of lower lip, upper lip, width of mouth, etc., give us different types of facial expressions. The proposed system identifies these expressions using convolutional neural network (CNN) and facial action coding system (FACS) with AdaBoost method. The proposed work has used FER2013 data set and also has created own data set consisting of 80 images each of happy and sad expressions [1].

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Metadata
Title
Facial Expression Recognition System Using Different Methods
Authors
Sweta Mishra
Sheweta Talashi
Copyright Year
2021
Publisher
Springer Nature Singapore
Book
Computer Networks and Inventive Communication Technologies

Print ISBN: 978-981-15-9646-9

Electronic ISBN: 978-981-15-9647-6

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-9647-6_15