Skip to main content

Attention Evaluation Based on Single Prefrontal EEG

  • Conference paper
  • First Online:
Advances in Cognitive Neurodynamics (VI)

Part of the book series: Advances in Cognitive Neurodynamics ((ICCN))

  • 683 Accesses

Abstract

Level of concentration is a research hotspot for human being at all aspect of human society and all ages. This paper makes use of the TGAM chip that developed a concentration value collector. Our experiment proves the validity and correctness of this equipment and can extract the attention feature in real time. Compared with the traditional attention evaluation which was also known as a questionnaire, our method had stronger real-time ability and high reliability and was more intuitive and more convenient. In addition, it is possible for our products to be put into practical application because of the high accuracy and real-time.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Hengchan, Y.: The research on concentration test and evaluation index for adolescence. China Sport Sci. Technol. 39, 51–53 (2003)

    Google Scholar 

  2. Friedman, D., Shapira, S., Jacobson, L., et al.: A data-driven validation of frontal EEG asymmetry using a consumer device. In: IEEE International Conference on Affective Computing and Intelligent Interaction, 930–937 (2015)

    Google Scholar 

  3. Su, Z., Xu, X., Ding, J., et al.: Intelligent wheelchair control system based on BCI and the image display of EEG. In: IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (2017)

    Google Scholar 

  4. Zhao, J., Zhang, H., Fu, W., et al.: Design of multi-parameter embedded biological information measurement system. In: World Congress on Intelligent Control and Automation, 473–476 (2016)

    Google Scholar 

  5. Furlan, P.B., Kimura, A., de Melo, C.L.S., et al.: Portable communication system for disabled speech people controlled by electroencephalograph signals. In: Andescon IEEE (2017)

    Google Scholar 

  6. BrainApps.io Brain fitness. https://brainapps.io/game/Clicker

  7. Yang, S.: A new method of removing singular points in dynamic testing data: absolute mean value method and its application study. China Meas Urement. 32, 47–49 (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jianhai Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhang, J., Liu, G., Zhao, S., Huang, W. (2018). Attention Evaluation Based on Single Prefrontal EEG. In: Delgado-García, J., Pan, X., Sánchez-Campusano, R., Wang, R. (eds) Advances in Cognitive Neurodynamics (VI). Advances in Cognitive Neurodynamics. Springer, Singapore. https://doi.org/10.1007/978-981-10-8854-4_23

Download citation

Publish with us

Policies and ethics