Estimation of stress condition of children by nasal skin temperature

Madoka Suzuki, Tomoaki Ohtsuki

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

Abstract

In Japan a lot of children stay home alone after school. Safety of children is a big issue. In addition, a stability of their emotion is a big issue. For the stability of their emotion, it is important to know the psychological state of children, particularly stress so that we can try to relieve their stress. As for the detection of the stress, it is preferred to detect in a less constrained or non-contact way. The nasal skin temperature is known to be affected by emotion, which can be detected in a non-contact way with an infrared thermography camera. In this paper, we report our experimental results about the detection of stress condition of children by the nasal skin temperature with the infrared thermography camera. In estimating the stress condition, we use a heart rate variability as a physiological index. With our experimental results, we show that the stress condition of children can be estimated by the nasal skin temperature. We also show that when the stress index rises, the change of the nasal skin temperature differs depending on their ages.

Original languageEnglish
Title of host publicationIntelligent Computing - Proceedings of the 2018 Computing Conference
EditorsSupriya Kapoor, Rahul Bhatia, Kohei Arai
PublisherSpringer Verlag
Pages1351-1358
Number of pages8
ISBN (Print)9783030011765
DOIs
Publication statusPublished - 2019
EventComputing Conference, 2018 - London, United Kingdom
Duration: 2018 Jul 102018 Jul 12

Publication series

NameAdvances in Intelligent Systems and Computing
Volume857
ISSN (Print)2194-5357

Other

OtherComputing Conference, 2018
Country/TerritoryUnited Kingdom
CityLondon
Period18/7/1018/7/12

Keywords

  • Children
  • Nasal skin temperature
  • Psychological state
  • Stress index
  • Thermography

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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