Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM

Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM

In this paper we evaluate performance of modern emotion recognition methods. Our task is to classify emotions as basic 8 categories: anger, contempt, disgust, fear, happy, sadness, surprise and neutral. CK+ dataset is used in all experiments. We apply Adaptive Boosting and Principal Component Analys...

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Bibliographic Details
Main Authors: Daniil Belkov, Konstantin Purtov, Vladimir Kublanov
Format: Article
Language:English
Published: FRUCT 2017-04-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
emotions
emotion recognition
support vector machines
machine learning
learning systems
Online Access:https://fruct.org/publications/fruct20/files/Bel.pdf

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