Relation extraction for circadian rhythm using the EEG

Eisaku Ohta, Mikito Ogino, Yasue Mitsukura

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

Abstract

The evaluation of human emotions has been a multi-disciplinary area of research interest. Human emotion that feel good or bad, like or dislike, interest or not interest in the case when we have been done the same routine, has some kind of relation in rhythm with the days or seasons. Although there are several methods for such evaluation, such as subjective evaluation and behavioral taxonomy, direct evaluation from the human brain is more reliable. Electroencephalograph (EEG) signal analysis is particularly widely used because of its simplicity and convenience. In the present study, human emotional states were investigated using a newly developed electroencephalograph device with a single electrode. The developed device is lighter and cheaper than existing devices, although its feasibility is yet to be proven. In our former study, we can confirm that the proposed simple device is robust for noise and effective for getting five emotions (concentration, stress, like, sleepiness, interest degree). In this study we could find the circadian rhythm about woman stress level using the pre-proposed method. This is said that there is some relation the hormone. We can obtain the hormone change using the emotion obtained by the EEG. Moreover, we can find the stress level change for sanitary goods.

Original languageEnglish
Title of host publicationNew Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 16th International Conference, SoMeT 2017
PublisherIOS Press
Pages226-232
Number of pages7
Volume297
ISBN (Electronic)9781614997993
DOIs
Publication statusPublished - 2017
Event16th International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques, SoMeT 2017 - Kitakyushu, Japan
Duration: 2017 Sep 262017 Sep 28

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume297
ISSN (Print)0922-6389

Other

Other16th International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques, SoMeT 2017
CountryJapan
CityKitakyushu
Period17/9/2617/9/28

Fingerprint

Hormones
Signal analysis
Taxonomies
Stress concentration
Brain
Electrodes

Keywords

  • Circadian Rhythm for woman
  • EEG
  • Emotion

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Ohta, E., Ogino, M., & Mitsukura, Y. (2017). Relation extraction for circadian rhythm using the EEG. In New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 16th International Conference, SoMeT 2017 (Vol. 297, pp. 226-232). (Frontiers in Artificial Intelligence and Applications; Vol. 297). IOS Press. https://doi.org/10.3233/978-1-61499-800-6-226

Relation extraction for circadian rhythm using the EEG. / Ohta, Eisaku; Ogino, Mikito; Mitsukura, Yasue.

New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 16th International Conference, SoMeT 2017. Vol. 297 IOS Press, 2017. p. 226-232 (Frontiers in Artificial Intelligence and Applications; Vol. 297).

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

Ohta, E, Ogino, M & Mitsukura, Y 2017, Relation extraction for circadian rhythm using the EEG. in New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 16th International Conference, SoMeT 2017. vol. 297, Frontiers in Artificial Intelligence and Applications, vol. 297, IOS Press, pp. 226-232, 16th International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques, SoMeT 2017, Kitakyushu, Japan, 17/9/26. https://doi.org/10.3233/978-1-61499-800-6-226
Ohta E, Ogino M, Mitsukura Y. Relation extraction for circadian rhythm using the EEG. In New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 16th International Conference, SoMeT 2017. Vol. 297. IOS Press. 2017. p. 226-232. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-61499-800-6-226
Ohta, Eisaku ; Ogino, Mikito ; Mitsukura, Yasue. / Relation extraction for circadian rhythm using the EEG. New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 16th International Conference, SoMeT 2017. Vol. 297 IOS Press, 2017. pp. 226-232 (Frontiers in Artificial Intelligence and Applications).
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