Item type |
Symposium(1) |
公開日 |
2022-01-28 |
タイトル |
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タイトル |
Real-time emotion estimation ROS component for Robot to Communicate with Human |
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言語 |
en |
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タイトル |
Real-time emotion estimation ROS component for Robot to Communicate with Human |
言語 |
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言語 |
eng |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
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資源タイプ |
conference paper |
著者所属 |
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Shibaura Institute of Technology |
著者所属 |
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Shibaura Institute of Technology |
著者所属(英) |
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en |
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Shibaura Institute of Technology |
著者所属(英) |
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en |
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Shibaura Institute of Technology |
著者名 |
Takumi, Iguchi
Midori, Sugaya
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著者名(英) |
Takumi, Iguchi
Midori, Sugaya
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論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
Nowadays, robots have been rapidly used in various situations to communicate with human. Since emotion is one of the most important factors in communication, it is necessary for robot to understand emotion so that they can interact with human naturally. In this research, we have developed an emotion estimation function employing biological information called "emotion-ROS" in Robot Operating System (ROS). The function handles the acquisition of biological information and the emotion estimation. Since it looks natural that robots should react to human's emotional changes within one second, we investigated the response time between the acquisition and the output. As a result, they were in a range of 60 to 100ms for more than half of the trials, which confirms that our developed function meets the necessary requirement. |
論文抄録(英) |
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内容記述タイプ |
Other |
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内容記述 |
Nowadays, robots have been rapidly used in various situations to communicate with human. Since emotion is one of the most important factors in communication, it is necessary for robot to understand emotion so that they can interact with human naturally. In this research, we have developed an emotion estimation function employing biological information called "emotion-ROS" in Robot Operating System (ROS). The function handles the acquisition of biological information and the emotion estimation. Since it looks natural that robots should react to human's emotional changes within one second, we investigated the response time between the acquisition and the output. As a result, they were in a range of 60 to 100ms for more than half of the trials, which confirms that our developed function meets the necessary requirement. |
書誌情報 |
Proceedings of Asia Pacific Conference on Robot IoT System Development and Platform
巻 2021,
p. 110-111,
発行日 2022-01-28
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出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |