AdaBoost-KNN with Direct Optimization for Dynamic Emotion Recognition

Luefeng Chen; Min Wu; Witold Pedrycz; Kaoru Hirota

doi:10.1007/978-3-030-61577-2_4

AdaBoost-KNN with Direct Optimization for Dynamic Emotion Recognition

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

^*此作品的通讯作者

科研成果: 书/报告/会议事项章节 › 章节 › 同行评审

1 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	Studies in Computational Intelligence
出版商	Springer Science and Business Media Deutschland GmbH
页	41-55
页数	15
DOI	https://doi.org/10.1007/978-3-030-61577-2_4
出版状态	已出版 - 2021
已对外发布	是

出版系列

姓名	Studies in Computational Intelligence
卷	926
ISSN（印刷版）	1860-949X
ISSN（电子版）	1860-9503

访问文件

10.1007/978-3-030-61577-2_4

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引用此

Chen, L., Wu, M., Pedrycz, W., & Hirota, K. (2021). AdaBoost-KNN with Direct Optimization for Dynamic Emotion Recognition. 在 Studies in Computational Intelligence (页码 41-55). (Studies in Computational Intelligence; 卷 926). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-61577-2_4

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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.",

author = "Luefeng Chen and Min Wu and Witold Pedrycz and Kaoru Hirota",

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AU - Pedrycz, Witold

AU - Hirota, Kaoru

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AdaBoost-KNN with Direct Optimization for Dynamic Emotion Recognition

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