Discrimination of Emotional Type by Heartbeat Signal Information

Emi Yuda, Kento Yamamoto, Yutaka Yoshida, Junichiro Hayano

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

1 Citation (Scopus)

Abstract

Information obtained from heartbeat signal that is associated with emotional responses was extracted and discriminant model for estimating the type of emotion from the information was developed. In healthy subjects, ECG was recorded continuously during watching movies, during which they pressed a button according to the type of emotion. Power concentration of high-frequency (HF, 0.15-0.45 Hz) component (Hsi) that reflects regularity of respiration, the standard deviation of the amplitude of HF component, and the amplitude of low-frequency (LF, 0.04-0.15 Hz) were extracted as the useful discriminator for the type of emotion. Canonical discriminant model with these variables revealed that periods with joy, worry, sorrow, surprise, and aversion are expanded separately on a plane consisting of two canonical variables reflecting the levels of valence and arousal, respectively.

Original languageEnglish
Title of host publication2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages395-396
Number of pages2
ISBN (Electronic)9781538663097
DOIs
Publication statusPublished - 2018 Dec 12
Externally publishedYes
Event7th IEEE Global Conference on Consumer Electronics, GCCE 2018 - Nara, Japan
Duration: 2018 Oct 92018 Oct 12

Publication series

Name2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018

Other

Other7th IEEE Global Conference on Consumer Electronics, GCCE 2018
CountryJapan
CityNara
Period18/10/918/10/12

Keywords

  • Emotion
  • Heart rate variability
  • Heartbeat

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Instrumentation

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