AdaBoost-KNN with Direct Optimization for Dynamic Emotion Recognition

Luefeng Chen*, Min Wu, Witold Pedrycz, Kaoru Hirota

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

AdaBoost-KNN using adaptive feature selection with direct optimization is proposed for dynamic emotion recognition in human-robot interaction, where the real-time dynamic emotion is recognized based on facial expression.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Science and Business Media Deutschland GmbH
Pages41-55
Number of pages15
DOIs
Publication statusPublished - 2021
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume926
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

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