Discrimination of Emotional Type by Heartbeat Signal Information

Emi Yuda, Kento Yamamoto, Yutaka Yoshida, Junichiro Hayano

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ395-396
ページ数2
ISBN(電子版)9781538663097
DOI
出版ステータスPublished - 2018 12 12
外部発表はい
イベント7th IEEE Global Conference on Consumer Electronics, GCCE 2018 - Nara, Japan
継続期間: 2018 10 92018 10 12

出版物シリーズ

名前2018 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

ASJC Scopus subject areas

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

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