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Erschienen in:
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2022 | OriginalPaper | Buchkapitel

Vision-Based Personal Face Emotional Recognition Approach Using Machine Learning and Tree-Based Classifier

verfasst von : R. Sathya, R. Manivannan, K. Vaidehi

Erschienen in: Inventive Computation and Information Technologies

Verlag: Springer Nature Singapore

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Abstract

The facial emotion classification is a crucial task in human behavior analysis. By taking static images, the emotion is identified from the face expression. It is one of the categories in image processing that is utilized in a variety of disciplines, including human and computer interaction. Some resources are projected to perform automatic emotion recognition, which utilizes benchmark datasets. This research work is focused on real-time dataset that is used to identify six human facial emotions that are implemented by using SVM and tree-based classifier. Experimental outcome symbolizes the top most presentation on the SVM radial basis function (RBF) kernel recognition (95.49%) when associated to the tree-based classifier.

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Vorheriges Kapitel Error Evaluation of Short-Term Wind Power Forecasting Models
Nächstes Kapitel Design and Development of Smart Charger for Automotive Application
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Metadaten
Titel
Vision-Based Personal Face Emotional Recognition Approach Using Machine Learning and Tree-Based Classifier
verfasst von
R. Sathya
R. Manivannan
K. Vaidehi
Copyright-Jahr
2022
Verlag
Springer Nature Singapore
Buch
Inventive Computation and Information Technologies

Print ISBN: 978-981-16-6722-0

Electronic ISBN: 978-981-16-6723-7

Copyright-Jahr: 2022

DOI
https://doi.org/10.1007/978-981-16-6723-7_42

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