Relation extraction for circadian rhythm using the EEG

Eisaku Ohta, Mikito Ogino, Yasue Mitsukura

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

1 Citation (Scopus)


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
EditorsHamido Fujita, Ali Selamat, Sigeru Omatu
PublisherIOS Press BV
Number of pages7
ISBN (Electronic)9781614997993
Publication statusPublished - 2017
Event16th International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques, SoMeT 2017 - Kitakyushu, Japan
Duration: 2017 Sept 262017 Sept 28

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314


Other16th International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques, SoMeT 2017


  • Circadian Rhythm for woman
  • EEG
  • Emotion

ASJC Scopus subject areas

  • Artificial Intelligence


Dive into the research topics of 'Relation extraction for circadian rhythm using the EEG'. Together they form a unique fingerprint.

Cite this