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Brain-Inspired e-Learning System Using EEG

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Neural Information Processing (ICONIP 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8228))

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Abstract

English rhythm instruction materials (RIM) encourage one to learn English rhythm. In RIM, you have to speak loud following the English teacher’s song looking at the phrases of the song in the text. During the learning the power of theta band (4 - 8Hz) of electroencephalogram (EEG) increased at the frontal region. When you repeat the lesson several times, you become bored. The powers of alpha (8-14 Hz), beta (14-30 Hz) and gamma (30-50 Hz) bands started to decrease in a wide regions before the subjects felt bored. On the other hand, theta power did not change. In addition, the coherence between the two recording sites mainly the electrode pairs along the midline was significantly different comparing between before and after subjects felt bored. The coherence of theta band did not change. These results suggest that using the characteristics of EEG, e-learning system for English rhythm can be developed.

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Natsume, K. (2013). Brain-Inspired e-Learning System Using EEG. In: Lee, M., Hirose, A., Hou, ZG., Kil, R.M. (eds) Neural Information Processing. ICONIP 2013. Lecture Notes in Computer Science, vol 8228. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42051-1_4

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  • DOI: https://doi.org/10.1007/978-3-642-42051-1_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-42050-4

  • Online ISBN: 978-3-642-42051-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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