Skip to main content

Feasibility Study for Implementing Brain Computer Interface Using Electroencephalograph

  • Conference paper
  • First Online:
Book cover Proceedings of International Conference on Internet Computing and Information Communications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 216))

Abstract

The purpose of a Brain Computer Interface (BCI) consists of the development of an interface between a human and a computer to allow the control of a device only via brain signals. The conformance of the system and the individual brain patterns of the subject is the major concern while developing the interface. In this paper, we begin with the exploration of variety of brain sensing technologies for detecting the specific forms of brain activity used in HCI research and then analyzing the properties of the most prevalent technology used in HCI research – Electroencephalograph. We have then proceeded with our aim of conducting a feasibility study of this implementation idea and verified the same by clearly determining the requirements and setting up of the appropriate facilities for research. We have also described and discussed the experiments showing the differences in the brain wave patterns for proving the same.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

References

  1. Friehs, G.M., Zerris, V.A., Ojakangas, C.L., Fellows, M.R., Donoghue, J.P.: Brain machine and brain computer interfaces. Stroke 35, 2702–2705 (2004)

    Article  Google Scholar 

  2. Lee, J.C., Tan, D.S.: Using a Low-Cost Electroencephalograph for task classification in HCI research. Proceedings of the 19th annual ACM symposium on User interface software and technology UIST’06, pp. 81-90, Oct 15–8 (2006)

    Google Scholar 

  3. Lehtonen, J.: EEG-based brain computer interfaces. Thesis, Department of Electrical and Communications Engineering, Helsinki University of Technology

    Google Scholar 

  4. Popescu, F., Badower, Y., Fazli, S., Dornhege, G., Muller, K.R.: EEG-based control of reaching to visual targets, Dynamical Principles for neuroscience and intelligent biomimetic devices—Abstracts of the EPFLLATSIS Symposium, vol 1–2, pp. 123–124, (2006)

    Google Scholar 

  5. Mϋller, K.-R., Blankertz, B.: Toward noninvasive brain-computer interfaces. IEEE Signal Process. Mag. 23, 125–128 (2006)

    Google Scholar 

  6. Carpi, F., D Rossil.: Non invasive brain-machine interfaces—A Report. University of Pisa, Interdepartmental Research Center “E.Piaggio”. http://www.esa.int/act

  7. Felzer T: On the possibility of developing a brain-computer interface. Department of computer Science, Technical University of Darmstadt (2001)

    Google Scholar 

  8. Nijholt, A., Tan, D.: Playing with Your Brain: Brain-computer interfaces and games. University of Twente, Microsoft Research. Proceedings of the international conference on Advances in computer entertainment technology, 305–306, (ACM) (2007)

    Google Scholar 

  9. Dzhafarova, O.A., Donskaya, O.G., Zubkov, A.A.: Biofeedback Computer Games: Development and Current State. Biomedical engineering springer science and business media, Inc.41(4), 186–190 (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. S. Sridhar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer India

About this paper

Cite this paper

Sridhar, S.S., Shivaraman, R. (2014). Feasibility Study for Implementing Brain Computer Interface Using Electroencephalograph. In: Sathiakumar, S., Awasthi, L., Masillamani, M., Sridhar, S. (eds) Proceedings of International Conference on Internet Computing and Information Communications. Advances in Intelligent Systems and Computing, vol 216. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1299-7_20

Download citation

  • DOI: https://doi.org/10.1007/978-81-322-1299-7_20

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1298-0

  • Online ISBN: 978-81-322-1299-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics