Estimation of stress condition of children by nasal skin temperature

Madoka Suzuki, Tomoaki Ohtsuki

研究成果: Conference contribution

抜粋

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.

元の言語English
ホスト出版物のタイトルIntelligent Computing - Proceedings of the 2018 Computing Conference
編集者Supriya Kapoor, Rahul Bhatia, Kohei Arai
出版者Springer Verlag
ページ1351-1358
ページ数8
ISBN(印刷物)9783030011765
DOI
出版物ステータスPublished - 2019 1 1
イベントComputing Conference, 2018 - London, United Kingdom
継続期間: 2018 7 102018 7 12

出版物シリーズ

名前Advances in Intelligent Systems and Computing
857
ISSN(印刷物)2194-5357

Other

OtherComputing Conference, 2018
United Kingdom
London
期間18/7/1018/7/12

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • これを引用

    Suzuki, M., & Ohtsuki, T. (2019). Estimation of stress condition of children by nasal skin temperature. : S. Kapoor, R. Bhatia, & K. Arai (版), Intelligent Computing - Proceedings of the 2018 Computing Conference (pp. 1351-1358). (Advances in Intelligent Systems and Computing; 巻数 857). Springer Verlag. https://doi.org/10.1007/978-3-030-01177-2_100