Time-series models of the EEG wearing overcorrected glasses

Yohei Tomita, Shin Ichi Ito, Yasue Mitsukura, Minoru Fukumi, Taketoshi Suzuki

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

2 Citations (Scopus)

Abstract

Most people do not notice the overcorrected glasses in daily life. The overcorrected glasses have harmful effects on the eye. Then, these effects are thought to have harmful effects on the brain, too. Therefore, to reveal the effects on the brain by the overcorrection, we analyze electroencephalogram (EEG). At the experiment, the subject played the PC game for 30 minutes (techno-stress) with overcorrected glasses. As the results for time-series analysis and average-variance analysis, the differences of the EEG feature between the correction and the overcorrection are confirmed.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings
Pages450-457
Number of pages8
EditionPART 2
DOIs
Publication statusPublished - 2008 Dec 24
Externally publishedYes
Event12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008 - Zagreb, Croatia
Duration: 2008 Sep 32008 Sep 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5178 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008
CountryCroatia
CityZagreb
Period08/9/308/9/5

Keywords

  • EEG
  • Techno-stress
  • The overcorrection
  • Time-series analysis

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Tomita, Y., Ito, S. I., Mitsukura, Y., Fukumi, M., & Suzuki, T. (2008). Time-series models of the EEG wearing overcorrected glasses. In Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings (PART 2 ed., pp. 450-457). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5178 LNAI, No. PART 2). https://doi.org/10.1007/978-3-540-85565-1-56