Multimodal Emotion Recognition and Intention Understanding in Human-Robot Interaction

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

*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

5 引用 (Scopus)
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摘要

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.

源语言英语
主期刊名Studies in Systems, Decision and Control
出版商Springer Science and Business Media Deutschland GmbH
255-288
页数34
DOI
出版状态已出版 - 2021
已对外发布

出版系列

姓名Studies in Systems, Decision and Control
329
ISSN(印刷版)2198-4182
ISSN(电子版)2198-4190

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引用此

Chen, L., Liu, Z., Wu, M., Hirota, K., & Pedrycz, W. (2021). Multimodal Emotion Recognition and Intention Understanding in Human-Robot Interaction. 在 Studies in Systems, Decision and Control (页码 255-288). (Studies in Systems, Decision and Control; 卷 329). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-62147-6_10