Virtual Emotion for Robots
Author:
Affiliation:
1. The School of Social Informatics, Aoyama Gakuin Univ.
2. Future Robotics Technology Center, Chiba Institute of Technology
Publisher
Japan Society of Kansei Engineering
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/isase/ISASE2018/0/ISASE2018_1_2/_pdf
Reference11 articles.
1. [1] http://www8.cao.go.jp/kourei/english/annualreport/ 2016/2016pdf_e.html (viewed 3/23/2018)
2. [2] P. Ekman; An Argument for Basic Emotions, Cognition and Emotion, 6(3/4), pp.169-200, 1992.
3. [3] M. Zenkyo and K. Tomiyama; Surprise generator for virtual Kansei based on human surprise characteristics, Proceedings of HCI2011, July 2011.
4. [4] S. Kato, Y. Sugino and H. Itoh; A Bayesian Approach to Emotion Detection in Dialogist's Voice for Human Robot Interaction, Lecture Notes in Artificial Intelligence, Vol. 4252, pp. 961-968, 2006.
5. [5] http://recognize-speech.com/feature- extraction/mfcc (viewed 3/23/2018)
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1. Applying Kansei/Affective Engineering Methodologies in the Design of Social and Service Robots: A Systematic Review;International Journal of Social Robotics;2020-10-23
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