Multimodal Emotion Recognition and Intention Understanding in Human-Robot Interaction

Luefeng Chen; Zhentao Liu; Min Wu; Kaoru Hirota; Witold Pedrycz

doi:10.1007/978-3-030-62147-6_10

Multimodal Emotion Recognition and Intention Understanding in Human-Robot Interaction

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

5 Citations (Scopus)

Abstract

Emotion recognition and intention understanding are important components of human-robot interaction. In multimodal emotion recognition and intent understanding, feature extraction and selection of recognition methods are related to the calculation of affective computing and the diversity of human-robot interaction. Therefore, by studying multimodal emotion recognition and intention understanding we to create an emotional and human-friendly human-robot interaction environment. This chapter introduces the characteristics of multimodal emotion recognition and intention understanding, presents different modalities emotion feature extraction methods and emotion recognition methods, proposes the intention understanding method, and finally applies them in practice to achieve human-robot interaction.

Original language	English
Title of host publication	Studies in Systems, Decision and Control
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	255-288
Number of pages	34
DOIs	https://doi.org/10.1007/978-3-030-62147-6_10
Publication status	Published - 2021
Externally published	Yes

Publication series

Name	Studies in Systems, Decision and Control
Volume	329
ISSN (Print)	2198-4182
ISSN (Electronic)	2198-4190

Keywords

Human-robot interaction
Intention understanding
Multimodal emotion recognition

Access to Document

10.1007/978-3-030-62147-6_10

Cite this

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abstract = "Emotion recognition and intention understanding are important components of human-robot interaction. In multimodal emotion recognition and intent understanding, feature extraction and selection of recognition methods are related to the calculation of affective computing and the diversity of human-robot interaction. Therefore, by studying multimodal emotion recognition and intention understanding we to create an emotional and human-friendly human-robot interaction environment. This chapter introduces the characteristics of multimodal emotion recognition and intention understanding, presents different modalities emotion feature extraction methods and emotion recognition methods, proposes the intention understanding method, and finally applies them in practice to achieve human-robot interaction.",

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Multimodal Emotion Recognition and Intention Understanding in Human-Robot Interaction. / Chen, Luefeng; Liu, Zhentao; Wu, Min et al.
Studies in Systems, Decision and Control. Springer Science and Business Media Deutschland GmbH, 2021. p. 255-288 (Studies in Systems, Decision and Control; Vol. 329).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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T1 - Multimodal Emotion Recognition and Intention Understanding in Human-Robot Interaction

AU - Chen, Luefeng

AU - Liu, Zhentao

AU - Wu, Min

AU - Hirota, Kaoru

AU - Pedrycz, Witold

PY - 2021

Y1 - 2021

N2 - Emotion recognition and intention understanding are important components of human-robot interaction. In multimodal emotion recognition and intent understanding, feature extraction and selection of recognition methods are related to the calculation of affective computing and the diversity of human-robot interaction. Therefore, by studying multimodal emotion recognition and intention understanding we to create an emotional and human-friendly human-robot interaction environment. This chapter introduces the characteristics of multimodal emotion recognition and intention understanding, presents different modalities emotion feature extraction methods and emotion recognition methods, proposes the intention understanding method, and finally applies them in practice to achieve human-robot interaction.

AB - Emotion recognition and intention understanding are important components of human-robot interaction. In multimodal emotion recognition and intent understanding, feature extraction and selection of recognition methods are related to the calculation of affective computing and the diversity of human-robot interaction. Therefore, by studying multimodal emotion recognition and intention understanding we to create an emotional and human-friendly human-robot interaction environment. This chapter introduces the characteristics of multimodal emotion recognition and intention understanding, presents different modalities emotion feature extraction methods and emotion recognition methods, proposes the intention understanding method, and finally applies them in practice to achieve human-robot interaction.

KW - Human-robot interaction

KW - Intention understanding

KW - Multimodal emotion recognition

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DO - 10.1007/978-3-030-62147-6_10

M3 - Chapter

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EP - 288

BT - Studies in Systems, Decision and Control

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Multimodal Emotion Recognition and Intention Understanding in Human-Robot Interaction

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