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  1. シンポジウム
  2. シンポジウムシリーズ
  3. Asia Pacific Conference on Robot IoT System Development and Platform (APRIS)
  4. 2024

Proposal for an Emotional Communication Robot System and Emotion Recognition Method Based on Physiological Indicators

https://ipsj.ixsq.nii.ac.jp/records/241887
https://ipsj.ixsq.nii.ac.jp/records/241887
d32fbddd-0bdd-4bfc-b5fa-ddd7a9c46248
名前 / ファイル ライセンス アクション
IPSJ-APRIS2024027.pdf IPSJ-APRIS2024027.pdf (1.0 MB)
 2026年12月27日からダウンロード可能です。
Copyright (c) 2024 by the Information Processing Society of Japan
非会員:¥0, IPSJ:学会員:¥0, EMB:会員:¥0, DLIB:会員:¥0
Item type Symposium(1)
公開日 2024-12-27
タイトル
タイトル Proposal for an Emotional Communication Robot System and Emotion Recognition Method Based on Physiological Indicators
タイトル
言語 en
タイトル Proposal for an Emotional Communication Robot System and Emotion Recognition Method Based on Physiological Indicators
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_5794
資源タイプ conference paper
著者所属
Shibaura Institute of Technology
著者所属
Shibaura Institute of Technology
著者所属
Shibaura Institute of Technology
著者所属(英)
en
Shibaura Institute of Technology
著者所属(英)
en
Shibaura Institute of Technology
著者所属(英)
en
Shibaura Institute of Technology
著者名 Rika, Honda

× Rika, Honda

Rika, Honda

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Kaoru, Suziki

× Kaoru, Suziki

Kaoru, Suziki

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Midori, Sugaya

× Midori, Sugaya

Midori, Sugaya

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著者名(英) Rika, Honda

× Rika, Honda

en Rika, Honda

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Kaoru, Suziki

× Kaoru, Suziki

en Kaoru, Suziki

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Midori, Sugaya

× Midori, Sugaya

en Midori, Sugaya

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論文抄録
内容記述タイプ Other
内容記述 Recently, robots are expected to provide mental care through communication using emotion estimation. Conventional emotion estimation methods such as facial expression have the problem that the information does not continue unless a person expresses it, and it is difficult to estimate the emotion when the information ceases. Therefore, an emotion estimation method using biometric information that continues to collect sufficiently estimate the emotion and a robot that recognizes the user's emotions based on the result. However, there is a point where a delay occurs in the handling of biometric information. In addition, the emotion recognition method has the problem of not being able to respond to intuitive changes in the user's emotions. In this study, we aim to develop a system to reduce the delay and to find a suitable emotion recognition method and investigated the status of the method to respond to changes in emotion by configuration using ESP32-WROOM-32E and micro-ROS. In the evaluation, it was found that the delay was reduced and that the current emotion recognition method was not able to cope with changes. In the future, we will propose a new system that improves on these points.
論文抄録(英)
内容記述タイプ Other
内容記述 Recently, robots are expected to provide mental care through communication using emotion estimation. Conventional emotion estimation methods such as facial expression have the problem that the information does not continue unless a person expresses it, and it is difficult to estimate the emotion when the information ceases. Therefore, an emotion estimation method using biometric information that continues to collect sufficiently estimate the emotion and a robot that recognizes the user's emotions based on the result. However, there is a point where a delay occurs in the handling of biometric information. In addition, the emotion recognition method has the problem of not being able to respond to intuitive changes in the user's emotions. In this study, we aim to develop a system to reduce the delay and to find a suitable emotion recognition method and investigated the status of the method to respond to changes in emotion by configuration using ESP32-WROOM-32E and micro-ROS. In the evaluation, it was found that the delay was reduced and that the current emotion recognition method was not able to cope with changes. In the future, we will propose a new system that improves on these points.
書誌情報 Proceedings of Asia Pacific Conference on Robot IoT System Development and Platform

巻 2024, p. 85-86, 発行日 2024-12-27
出版者
言語 ja
出版者 情報処理学会
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