A Preliminary Experiment on the Estimation of Emotion Using Facial Expression and Biological Signals

Yuya Kurono, Sripian Peeraya, Feng Chen, Midori Sugaya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Imagine the day that a robot would comfort you when you feel sad. In the field of artificial intelligence and robot engineering, there are many research regarding automatic classification of human emotion to enhance human-robot communication, especially for therapy. Generally, estimating emotions of people is based on information such as facial expression, eye-gazing direction, and behaviors that are expressed externally and the robot can observe through a camera and so on. However, there is some invisible information that cannot be expressed, or control not to express. In this case, it is difficult to estimate the emotion even if the analysis technologies are sophisticated. The main idea of this research is to compare the classified emotion based on two different sources: controllable and uncontrollable expression. The preliminary experiments show that our proposed method suggested that the classification of emotion from biological signals outperform the classification from facial expression.

Original languageEnglish
Title of host publicationHuman-Computer Interaction. Recognition and Interaction Technologies - Thematic Area, HCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
EditorsMasaaki Kurosu
PublisherSpringer Verlag
Pages133-142
Number of pages10
ISBN (Print)9783030226428
DOIs
Publication statusPublished - 2019 Jan 1
EventThematic Area on Human Computer Interaction, HCI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: 2019 Jul 262019 Jul 31

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11567 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceThematic Area on Human Computer Interaction, HCI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
CountryUnited States
CityOrlando
Period19/7/2619/7/31

Keywords

  • Biological signals
  • Emotion classification
  • Facial expression
  • Feeling
  • Robotics
  • Sympathy

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kurono, Y., Peeraya, S., Chen, F., & Sugaya, M. (2019). A Preliminary Experiment on the Estimation of Emotion Using Facial Expression and Biological Signals. In M. Kurosu (Ed.), Human-Computer Interaction. Recognition and Interaction Technologies - Thematic Area, HCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings (pp. 133-142). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11567 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-22643-5_10