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Trial of a Distance Learning System Using a Brain Wave Sensor

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Knowledge-Based and Intelligent Information and Engineering Systems (KES 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6883))

Abstract

We developed a self-study system using Perl language. To date, no device has been available to observe a human state effectively. However, brain wave sensors have become inexpensive recently, allowing observation of the human state. We analyzed the information effectively; a brain wave sensor for human feedback has become usable.

This feedback system can measure a student’s state of concentration and a state of a motivation. Additionally, students show raised motivation because the system sends a student’s status. Sensing that motivation, effective methods can be recognized. This report presents our results.

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Author information

Authors and Affiliations

  1. Shonan Institute of Technology, 1-1-25, Tsujido Nishikaigan, Fujisawa, Kanagawa, 251-8511, Japan

    Kouji Yoshida, Yuuta Sakamoto & Yuuki Satou

  2. Okayama University of Science, 1-1 Ridaicho, Okayama, 700-0005, Japan

    Isao Miyaji

  3. Tokai University, 1117 Kitakinme, Hiratsuka, Kanagawa, 259-1292, Japan

    Kunihiro Yamada

  4. Matsue National College of Technology, 14-4 Nishi-Ikuma, Matsue, Shimane, 690-8518, Japan

    Satoru Fujii

Authors
  1. Kouji Yoshida
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  2. Yuuta Sakamoto
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  3. Yuuki Satou
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  4. Isao Miyaji
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  5. Kunihiro Yamada
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  6. Satoru Fujii
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Editor information

Editors and Affiliations

  1. Institute of Integrated Sensor Systems, University of Kaiserslautern, Erwin-Schroedinger-str. 12, 67663, Kaiserslautern, Germany

    Andreas König

  2. Knowledge-Based Systems Group, Department of Computer Science, University of Kaiserslautern, P.O. Box 3049, 67653, Kaiserslautern, Germany

    Andreas Dengel

  3. School of Business, University of Applied Sciences Northwestern Switzerland, Riggenbachstr. 16, 4600, Olten, Switzerland

    Knut Hinkelmann

  4. Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, Sakai, 599-8531, Osaka, Japan

    Koichi Kise

  5. KES International, P.O. Box 2115, BN43 9AF, Shoreham-by-sea, UK

    Robert J. Howlett

  6. University of South Australia, Adelaide, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2011 Springer-Verlag Berlin Heidelberg

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Yoshida, K., Sakamoto, Y., Satou, Y., Miyaji, I., Yamada, K., Fujii, S. (2011). Trial of a Distance Learning System Using a Brain Wave Sensor. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6883. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23854-3_10

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  • DOI: https://doi.org/10.1007/978-3-642-23854-3_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23853-6

  • Online ISBN: 978-3-642-23854-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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