Affective computing using clustering method for mapping human's emotion

Z. Zhang, E. Tanaka

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

In this study, we proposed a method which could be used for mapping people's emotion state on the two-dimensional arousal-valence model of effect. The final target of our research is to apply this kind of emotional recognition system to robots or some assistant apparatus which service activities of daily living (ADL). Since in our previous studies, we have finished the work of recognizing people's emotion state on the dimension of arousal by evaluating subjects' heartbeat and LF/HF, which is calculated from the frequency domain analysis of HRV, as the second step's work, we focused on how to recognize people's emotion state on valence dimension. To be specific, we used some kinds of normative affective stimuluses to elicit subjects' emotional change, then collected multiple physiological data during this emotional stimulation process. Finally, as for data analyzing, we didn't use the supervised learning method, like SVM, but made a new attempt to apply the unsupervised clustering method to sample data, dividing the data set into several natural clusters by analyzing the physiological features we abstracted. The calculated results of our experiment have verified the feasibility of mapping human's emotion state on the two-dimensional arousal-valence model of effect at a quadrant level.

本文言語English
ホスト出版物のタイトル2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ235-240
ページ数6
ISBN(電子版)9781509059980
DOI
出版ステータスPublished - 2017 8 21
イベント2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017 - Munich, Germany
継続期間: 2017 7 32017 7 7

出版物シリーズ

名前IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Other

Other2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017
国/地域Germany
CityMunich
Period17/7/317/7/7

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 制御およびシステム工学
  • コンピュータ サイエンスの応用
  • ソフトウェア

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