Detection of daily emotions by wearable biometric sensors

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

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

Abstract

To examine the basic characteristics of pulse rate variability (PRV) during work, pulse wave signals during work hours were recorded by wristband-type wearable sensors in 8 office workers for 1-3 months together with the signals of physical activity, skin temperature, and the amount of conversation and with subjective emotions. A total of 1,544 hours of data were obtained. Pulse rate increased during physical activity and decreased during dozing. Although high frequency (HF) component of heart rate variability (HRV) is known as an index of parasympathetic function and increases during rest and sleep, HF amplitude of PRV during work increased with mild physical movement detected at the wrist and decreased during dozing. Factor analysis revealed that there were two factors, reflecting slow and fast variations, respectively, among the indices of PRV indices (the amplitude of very low, low, and HF components and their standard deviations). While factor 1 score decreased during walking and increased with mild physical movement, it also increased when subjects reported angry emotion. While factor 2 score also increased with mild physical movement, it also increased with happiness and relax compared with sad and angry emotions. This study suggests on one hand that HF amplitude of PRV at least that obtained through wristband-type sensors during work cannot be used as the indices of parasympathetic function and resting. On the other hand, PRV may provide unique information from that of HRV, i.e., HF amplitude and fast variation of PRV may reflect positive feeling for work, while an increase in slow variation of PRV may reflect their conflict and dissatisfaction during work.

Original languageEnglish
Title of host publication2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages286-287
Number of pages2
ISBN (Electronic)9781728105437
DOIs
Publication statusPublished - 2019 Mar
Externally publishedYes
Event1st IEEE Global Conference on Life Sciences and Technologies, LifeTech 2019 - Osaka, Japan
Duration: 2019 Mar 122019 Mar 14

Publication series

Name2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019

Conference

Conference1st IEEE Global Conference on Life Sciences and Technologies, LifeTech 2019
CountryJapan
CityOsaka
Period19/3/1219/3/14

Keywords

  • Biosignal
  • Emotion
  • Heart rate variability
  • Job stress
  • Physical activity
  • Pulse wave
  • Wearable sensor
  • Work
  • pulse rate variability

ASJC Scopus subject areas

  • Artificial Intelligence
  • Health Informatics
  • Neuroscience (miscellaneous)
  • Computer Science Applications
  • Biomedical Engineering

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  • Cite this

    Yuda, E., Tanabiki, T., Iwata, S., Abe, K., & Hayano, J. (2019). Detection of daily emotions by wearable biometric sensors. In 2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019 (pp. 286-287). [8883968] (2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LifeTech.2019.8883968