Two-dimensional emotion evaluation with multiple physiological signals

Jyun Rong Zhuang, Ya Jing Guan, Hayato Nagayoshi, Louis Yuge, Hee Hyol Lee, Eiichiro Tanaka

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

Extended roles of robots for activities of daily living (ADL) lead to researchers’ increasing attention to human-robot interaction. Emotional recognition has been regarded as an important issue from the human mental aspect. We are developing an assistive walking device which considers the correlation between physical assistance and mental conditions for the user. To connect the assistive device and user mental conditions, it is necessary to evaluate emotion in real-time. This study aims to develop a new method of two-dimensional valence-arousal model emotion evaluation with multiple physiological signals. We elicit users’ emotion change based on normative affective stimuli database, and further extract multiple physiological signals from the subjects. Moreover, we implement various algorithms (k-means, T method of MTS (Mahalanobis Taguchi System) and DNN (deep neural network)) for determining the emotional state from physiological data. Finally, the findings indicate that deep neural network method can precisely recognize the human emotional state.

本文言語English
ホスト出版物のタイトルAdvances in Affective and Pleasurable Design - Proceedings of the AHFE 2018 International Conference on Affective and Pleasurable Design, 2018
編集者Shuichi Fukuda
出版社Springer Verlag
ページ158-168
ページ数11
ISBN(印刷版)9783319949437
DOI
出版ステータスPublished - 2019 1 1
イベントAHFE International Conference on Affective and Pleasurable Design, 2018 - Orlando, United States
継続期間: 2018 7 212018 7 25

出版物シリーズ

名前Advances in Intelligent Systems and Computing
774
ISSN(印刷版)2194-5357

Conference

ConferenceAHFE International Conference on Affective and Pleasurable Design, 2018
CountryUnited States
CityOrlando
Period18/7/2118/7/25

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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