Group emotion recognition strategies for entertainment robots

Sarah Cosentino, Estelle I.S. Randria, Jia Yeu Lin, Thomas Pellegrini, Salvatore Sessa, Atsuo Takanishi

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

In this paper, a system to determine the emotion of a group of people via facial expression analysis is proposed for the Waseda Entertainment Robots. General models and standard methods for emotion definition and recognition are briefly described, as well as strategies for computing the group global emotion, knowing the individual emotions of group members. This work is based on Ekman's extended 'Big Six' emotional model, popular in Computer Science and Affective Computing. Emotion recognition via facial expression analysis is performed with a cloud-computing based solution, using Microsoft Azure Cognitive services. First, the performances of both the Face API to detect faces, and Emotion API, to compute emotion via face expression analysis, are tested. After that, a solution to compute the emotion of a group of people has been implemented and its performances compared to human perceptions. This work presents concepts and strategies which can be generalized for applications within the scope of assistive robotics and, more broadly, affective computing, wherever it will be necessary to determine the emotion of a group of people.

本文言語English
ホスト出版物のタイトル2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ813-818
ページ数6
ISBN(電子版)9781538680940
DOI
出版ステータスPublished - 2018 12 27
イベント2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018 - Madrid, Spain
継続期間: 2018 10 12018 10 5

出版物シリーズ

名前IEEE International Conference on Intelligent Robots and Systems
ISSN(印刷版)2153-0858
ISSN(電子版)2153-0866

Conference

Conference2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
CountrySpain
CityMadrid
Period18/10/118/10/5

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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