Analyzing brain waves for activity recognition of learners

Hiromichi Abe, Kazuya Kinoshita, Kensuke Baba, Shigeru Takano, Kazuaki Murakami

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

1 Citation (Scopus)

Abstract

Understanding the states of learners at a lecture is expected to be useful for improving the quality of the lecture. This paper is trying to recognize the activities of learners by their brain wave data for estimating the states. In analyses on brain wave data, generally, some particular bands such as α and β are considered as the features. The authors considered other bands of higher and lower frequencies to compensate for the coarseness of simple electroencephalographs. They conducted an experiment of recognizing two activities of five subjects with the brain wave data captured by a simple electroencephalograph. They applied support vector machine to 8-dimensional vectors which correspond to eight bands on the brain wave data. The results show that considering multiple bands yielded high accuracy compared with the usual features.

Original languageEnglish
Title of host publicationInformation and Communication Technology - 3rd IFIP TC 5/8 International Conference, ICT-EurAsia 2015 and 9th IFIP WG 8.9 Working Conference, CONFENIS 2015 Held as Part of WCC 2015, Proceedings
EditorsIlsun You, Li Da Xu, Erich Neuhold, A. Min Tjoa, Ismail Khalil
PublisherSpringer Verlag
Pages64-73
Number of pages10
ISBN (Print)9783319243146
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event3rd IFIP TC 5/8 International Conference on Information and Communication Technology, ICT-EurAsia 2015 and 9th IFIP WG 8.9 Working Conference on Research and Practical Issues of Enterprise Information Systems, CONFENIS 2015 - Daejeon, Korea, Republic of
Duration: Oct 4 2015Oct 7 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9357
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd IFIP TC 5/8 International Conference on Information and Communication Technology, ICT-EurAsia 2015 and 9th IFIP WG 8.9 Working Conference on Research and Practical Issues of Enterprise Information Systems, CONFENIS 2015
CountryKorea, Republic of
CityDaejeon
Period10/4/1510/7/15

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Abe, H., Kinoshita, K., Baba, K., Takano, S., & Murakami, K. (2015). Analyzing brain waves for activity recognition of learners. In I. You, L. D. Xu, E. Neuhold, A. M. Tjoa, & I. Khalil (Eds.), Information and Communication Technology - 3rd IFIP TC 5/8 International Conference, ICT-EurAsia 2015 and 9th IFIP WG 8.9 Working Conference, CONFENIS 2015 Held as Part of WCC 2015, Proceedings (pp. 64-73). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9357). Springer Verlag. https://doi.org/10.1007/978-3-319-24315-3_7