Emotion Aware Voice-Casting Robot for Rehabilitation Evaluated with Bio-signal Index

Kodai Matsumoto, Reiji Yoshida, Feng Chen, Midori Sugaya

研究成果: Conference contribution

抜粋

As part of nursing care, there is physiotherapist’s physical exercise recovery training (walking training, etc.), which is aimed at restoring athletic ability that is called rehabilitation. In rehabilitation for the practitioners, there is a problem that it is difficult to maintain motivation trough their work. In this paper, we propose “voice-casting robot” that provides support for guide the route of the practitioners and to main their motivation, select the appropriate phrase for voice-casting based on the emotion estimation with pulse sensor’s data analysis result of them. The previous voice-casting robot was not considered the arousal revel of arousal, and would not obtain the effectiveness. In this study, we consider the arousal degree of the rehabilitation, and the effect measurement of performing the corresponding vocalization. As a result, it was suggested that it is more effective to consider the degree of arousal and to make a voice-cast than to the case of voice-cast only when negative valence.

元の言語English
ホスト出版物のタイトルHCI International 2019 – Late Breaking Posters - 21st HCI International Conference, HCII 2019, Proceedings
編集者Constantine Stephanidis, Margherita Antona
出版者Springer
ページ241-250
ページ数10
ISBN(印刷物)9783030307110
DOI
出版物ステータスPublished - 2019 1 1
イベント21st International Conference on Human Computer Interaction, HCII 2019 - Orlando, United States
継続期間: 2019 7 262019 7 31

出版物シリーズ

名前Communications in Computer and Information Science
1088
ISSN(印刷物)1865-0929
ISSN(電子版)1865-0937

Conference

Conference21st International Conference on Human Computer Interaction, HCII 2019
United States
Orlando
期間19/7/2619/7/31

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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  • これを引用

    Matsumoto, K., Yoshida, R., Chen, F., & Sugaya, M. (2019). Emotion Aware Voice-Casting Robot for Rehabilitation Evaluated with Bio-signal Index. : C. Stephanidis, & M. Antona (版), HCI International 2019 – Late Breaking Posters - 21st HCI International Conference, HCII 2019, Proceedings (pp. 241-250). (Communications in Computer and Information Science; 巻数 1088). Springer. https://doi.org/10.1007/978-3-030-30712-7_31