Improving the Speech Pattern of an Emotion-aware Robot using EEG and HRV for Emotion Estimation

• Item type: Symposium(1)
• 公開日: 2024-12-27
• タイトル: Improving the Speech Pattern of an Emotion-aware Robot using EEG and HRV for Emotion Estimation
• タイトル / 言語: en
• タイトル: Improving the Speech Pattern of an Emotion-aware Robot using EEG and HRV for Emotion Estimation
• 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: EPF Engineering School
• 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
• 著者所属(英): EPF Engineering School
• 著者所属(英): en
• 著者所属(英): Shibaura Institute of Technology
• 著者所属(英): en
• 著者所属(英): Shibaura Institute of Technology
• 著者所属(英): en
• 著者所属(英): Shibaura Institute of Technology
• 著者名: Victor, Gaspard; Tipporn, Laohakangvalvit; Kaoru, Suzuki; Midori, Sugaya
• 著者名(英): Victor, Gaspard; Tipporn, Laohakangvalvit; Kaoru, Suzuki; Midori, Sugaya
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: In recent years, there has been a growing interest in real-time emotion-estimating robots, particularly for applications in nursing care and domestic settings. However, existing real-time emotion estimation robots often have limited speech possibilities based on the emotional states of the user. Addressing the increasing demand for enhanced human-robot interaction, this study focuses on refining the speech pattern of the emotion-estimating care robot. The goal is to uplift the emotional well-being of its users. A large set of sentences will then be tested on different participants, with the aim of implementing an algorithm that will learn from these experiments to determine the sentence pattern that will have the greatest impact on the user. The effectiveness of the approach is demonstrated by the final result, where the robot enunciates the sentences proven to have the most positive impact on the users, even causing them to laugh.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: In recent years, there has been a growing interest in real-time emotion-estimating robots, particularly for applications in nursing care and domestic settings. However, existing real-time emotion estimation robots often have limited speech possibilities based on the emotional states of the user. Addressing the increasing demand for enhanced human-robot interaction, this study focuses on refining the speech pattern of the emotion-estimating care robot. The goal is to uplift the emotional well-being of its users. A large set of sentences will then be tested on different participants, with the aim of implementing an algorithm that will learn from these experiments to determine the sentence pattern that will have the greatest impact on the user. The effectiveness of the approach is demonstrated by the final result, where the robot enunciates the sentences proven to have the most positive impact on the users, even causing them to laugh.
• 書誌情報: Proceedings of Asia Pacific Conference on Robot IoT System Development and Platform; 巻 2024, p. 15-21, 発行日 2024-12-27
• 出版者 / 言語: ja
• 出版者: 情報処理学会