Skip to main content
SpringerLink
Log in

Estimation System for Human-Interest Degree while Watching TV Commercials Using EEG

  • Conference paper
Neural Information Processing (ICONIP 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7062))

Included in the following conference series:

Abstract

In this paper, we propose an estimation system for the human-interest degree while watching TV commercials using the electroencephalogram(EEG). When we use this system, we can estimate the human-interest degree easily, sequentially, and simply. In particular, we measure the EEG using a simple electroencephalograph and survey the human-interest degree using questionnaires in a scale. For construction this estimation system, we investigate the relationship between the EEG and the result of questionnaires. In order to evaluate our estimation system, we show results of experiments using real TV commercials.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Dijksterhuis, A., Bos, M.W., Nordgren, L.F., van Baaren, R.B.: On Making the Right Choice: The Deliberation-Without-Attention Effect. Science 311(5763), 1005–1007 (2006)

    Article  Google Scholar 

  2. Ohme, R., Matuskin, M., Szczurko, T.: Neurophysiology uncovers secrets of TV commercials. Der. Markt. 49(3-4), 133–142 (2010)

    Article  Google Scholar 

  3. Vecchiato, G., Astolfi, L., Fallani, F.D.V., Cincotti, F., Mattia, D., Salinari, S., Soranzo, R., Babiloni, F.: Changes in Brain Activity During the Observation of TV Commercials by Using EEG, GSR and HR Measurements. Brain Topography 23(2), 165–179 (2010)

    Article  Google Scholar 

  4. Sutton, S.K., Davidson, R.J.: Prefrontal brain electrical asymmetry predicts the evaluation of affective stimuli. Neuropsychologia 38(13), 1723–1733 (2000)

    Article  Google Scholar 

  5. Lotte, F., Congedo, M., Lecuyer, A., Lamarche, F., Arnaldi, B.: A review of classification algorithms for EEG-based brain-computer interfaces. Journal of Neural Engineering 4(2), R1–R13 (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Graduate School of Bio-Applications Systems Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka, Koganei, Tokyo, Japan

    Yuna Negishi & Zhang Dou

  2. Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku, Yokohama, Kanagawa, Japan

    Yuna Negishi & Yasue Mitsukura

Authors
  1. Yuna Negishi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhang Dou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yasue Mitsukura
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800, Dongchuan Road, 200240, Shanghai, China

    Bao-Liang Lu  & Liqing Zhang  & 

  2. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China

    James Kwok

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Negishi, Y., Dou, Z., Mitsukura, Y. (2011). Estimation System for Human-Interest Degree while Watching TV Commercials Using EEG. In: Lu, BL., Zhang, L., Kwok, J. (eds) Neural Information Processing. ICONIP 2011. Lecture Notes in Computer Science, vol 7062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24955-6_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24955-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24954-9

  • Online ISBN: 978-3-642-24955-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation