Preliminary Reaction Analysis of Audience with Bio-Emotion Estimation Method

Midori Sugaya, Takuya Hiramatsu, Reiji Yoshida, Feng Chen

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

6 Citations (Scopus)


This study is to propose an analytical technique and evaluation measures effective for investigations of emotion estimation by using biological information. For conducting investigations to analyze atmosphere and emotions by corresponding biological information with a Russell's circumplex model, any of analytical techniques or evaluation measures are not established and therefore are used with uncertain effectiveness. In this study, we propose a novel technique using vector decomposition, while a reported study proposed a technique using the ratio of distances analysis, for emotion estimation on the basis of 8 emotion classifications by using 2 different types of biological information including an electroencephalogram and pulse rate, in which a point of emotion is classified on a circumplex model corresponding to a two-dimensional coordinate. Also, to validate the effectiveness, we analyzed audience's emotions responded to a show initially motivating us to investigate. We demonstrated that the evaluation measures could be more effective by validating the evaluation.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018
EditorsClaudio Demartini, Sorel Reisman, Ling Liu, Edmundo Tovar, Hiroki Takakura, Ji-Jiang Yang, Chung-Horng Lung, Sheikh Iqbal Ahamed, Kamrul Hasan, Thomas Conte, Motonori Nakamura, Zhiyong Zhang, Toyokazu Akiyama, William Claycomb, Stelvio Cimato
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9781538626665
Publication statusPublished - 2018 Jun 8
Event42nd IEEE Computer Software and Applications Conference, COMPSAC 2018 - Tokyo, Japan
Duration: 2018 Jul 232018 Jul 27

Publication series

NameProceedings - International Computer Software and Applications Conference
ISSN (Print)0730-3157


Other42nd IEEE Computer Software and Applications Conference, COMPSAC 2018


  • Affective computing
  • Bio-emotion estimation method
  • Biological information
  • EEG
  • Emotion estimation
  • Pulse sensor

ASJC Scopus subject areas

  • Software
  • Computer Science Applications


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