Estimation of Emotions by Wearable Biometric Sensors under Daily Activities

Junichiro Hayano, Tetsuya Tanabiki, Shinichiro Iwata, Katsumi Abe, Emi Yuda

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

4 Citations (Scopus)

Abstract

To examine the possibility of emotion estimation under daily activities with wearable sensors of objective biomarkers, we developed a discriminant model of the kind of emotion using pulse rate variability, skin temperature, body motion, and conversation. During 10 weeks of the experimental period, 5 healthy subjects recorded strongly conscious emotions (happy, relaxed, sad, and angry) at every 30 min during working hours. Significant association with the type of emotion was detected for heart rate, the variance of the frequency component of pulse rate variability, body movement, skin temperature, and conversation. Stepwise canonical discriminant analysis using these variables revealed that the kind of emotion can be expanded in two dimensions reflecting the levels of arousal and valence, respectively.

Original languageEnglish
Title of host publication2018 IEEE 7th Global Conference on Consumer Electronics, GCCE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages268-269
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
Country/TerritoryJapan
CityNara
Period18/10/918/10/12

Keywords

  • Actigram
  • Biometrics
  • Conversation
  • Emotion
  • Pulse wave
  • Skin temperature
  • Wearable sensor

ASJC Scopus subject areas

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

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