Skip to main content
Book cover

International Conference on ICT Innovations

ICT Innovations 2012: ICT Innovations 2012 pp 1–11Cite as

Controlling Robots Using EEG Signals, Since 1988

  • Conference paper

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 207)

Abstract

The paper considers the emergence of the field of controlling robots using EEG signals. It looks back to the first result in the field, achieved in 1988. From a viewpoint of EEG driven control, it was the first result in controlling a physical object using EEG signals. The paper gives details of the development of the research infrastructure which enabled such a result, including description of the lab setup and algorithms. The paper also gives a description of the scientific context in which the result was achieved by giving a short overview of the first ten papers in the field of EEG driven control.

Keywords

  • psychokinesis
  • EEG control of physical objects
  • EEG control of robots
  • biosignal processing
  • contingent negative variation
  • contingent alpha rhythm variation
  • probability density distribution
  • real-time EEG control

This is a preview of subscription content, access via your institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-642-37169-1_1
  • Chapter length: 11 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   169.00
Price excludes VAT (USA)
  • ISBN: 978-3-642-37169-1
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   219.99
Price excludes VAT (USA)
Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bozinovski, S., Bozinovska, L., Setakov, M.: Mobile robot control using alpha wave from the human brain. In: Proc. Symp. JUREMA, Zagreb, pp. 247–249 (1988) (in Croatian)

    Google Scholar 

  2. Bozinovski, S., Sestakov, M., Bozinovska, L.: Using EEG alpha rhythm to control a mobile robot. In: Harris, G., Walker, C. (eds.) Proc. 10th Annual Conf. of the IEEE Engineering in Medicine and Biology Society, Track 17: Biorobotics, New Orleans, vol. 3, pp. 1515–1516 (1988)

    Google Scholar 

  3. Bozinovski, S.: Mobile robot trajectory control: From fixed rails to direct bioelectric control. In: Kaynak, O. (ed.) Proc. IEEE International Workshop on Intelligent Motion Control, Istanbul, vol. 2, pp. 463–467 (1990)

    Google Scholar 

  4. Bozinovski, S., Sestakov, M., Stojanov, G.: A learning system for mobile robot control using human head biosignals. Problemji Mashinostroenija i Avtomatizacii 6, 32–35 (1991) (in Russian)

    Google Scholar 

  5. Walter, G., Cooper, R., Aldridge, V., McCallum, W.: Contingent Negative Variation: An electric sign of sensory-motor association and expectancy in the human brain. Nature 203, 380–384 (1964)

    CrossRef  Google Scholar 

  6. Bozinovska, L.: The CNV paradigm: Electrophysiological evidence of expectation and attention. Unpublished Term Paper. Course PSYCH330 Physiological Psychology, Instructor Beth Powel, Psychology Department, University of Massachusetts/Amherst (1981)

    Google Scholar 

  7. Bozinovska, L., Isgum, V., Barac, B.: Electrophysiological and phenomenological evidence of the expectation process in the reaction time measurements. Yugoslavian Physiologica and Pharmacologica Acta, 21–22 (1985)

    Google Scholar 

  8. Bozinovska, L., Bozinovski, S., Stojanov, G.: Electroexpectogram: Experimental design and algorithms. In: Proc. IEEE International Biomedical Engineering Days, Istanbul, pp. 58–60 (1992)

    Google Scholar 

  9. Kornhuber, H., Deecke, L.: Changes in brain potentials in case of willing movements and passive movements in humans: Readiness potential and reaferent potentials. Pflügers Arch. 284, 1–17 (1965) (in German)

    CrossRef  Google Scholar 

  10. Bozinovska, L., Sestakov, M., Stojanovski, G., Bozinovski, S.: Intensity variation of the CNV potential during the biofeedback training guided by a personal computer. Neurologija 37(suppl. 2) (1988) (in Serbian)

    Google Scholar 

  11. Bozinovski, S., Sestakov, M.: Multitasking operating systems and their application in robot control. In: Proc. Workshop on Macedonian Informatics, Skopje, pp. 195–199 (1983) (in Macedonian)

    Google Scholar 

  12. Walker, T.: Fundamentals of Cobol Programming: A Structured Approach. Allyn and Bacon (1976)

    Google Scholar 

  13. Keirn, Z., Aunon, J.: A new mode of communication between man and his surroundings. IEEE Transactions on Biomedical Engineering 37(12), 1209–1214 (1990)

    CrossRef  Google Scholar 

  14. Dewan, E.: Occipital alpha rhythm eye position and lens accommodation. Nature 214, 975–977 (1967)

    CrossRef  Google Scholar 

  15. Vidal, J.: Toward direct brain-computer communication. Annual Review of Biophysics and Bioengineering, 157–180 (1973)

    Google Scholar 

  16. Vidal, J.: Real-time detection of brain events in EEG. Proceedings of the IEEE 65, 633–641 (1977)

    CrossRef  Google Scholar 

  17. Farwell, L., Donchin, E.: Talking off the top of your head: a mental prosthesis utilizing event-related brain potentials. Electroencephalography and Clinical Neurophysiology 70, 510–523 (1988)

    CrossRef  Google Scholar 

  18. Wolpaw, J., McFarland, D., Neat, G., Forneris, C.: An EEG-based brain-computer interface for cursor control. Electroencephalography and Clinical Neurophysiology 78(3), 252–259 (1991)

    CrossRef  Google Scholar 

  19. Sutter, E.: The brain response interface: Communication through visually induced electrical brain responses. Journal of Microcomputer Applications 15, 31–45 (1992)

    CrossRef  Google Scholar 

  20. Cilliers, P., Van Der Kouwe, A.: A VEP-based computer interface for C2-quadriplegics. In: Proc. of the 15th Annual International Conf. of the IEEE, p. 1263 (1993)

    Google Scholar 

  21. Pfurtscheller, G., Flotzinger, D., Kalcher, J.: Brain Computer Interfaces – A new communication device for handicapped person. Journal of Microcomputer Applications 16, 293–299 (1993)

    CrossRef  Google Scholar 

  22. Chapin, J., Moxon, K., Markowitz, R., Nicolelis, M.: Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex. Nature Neuroscience 2, 664–670 (1999)

    CrossRef  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. South Carolina State University, Orangeburg, SC, USA

    Stevo Bozinovski

Authors
  1. Stevo Bozinovski
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Stevo Bozinovski .

Editor information

Editors and Affiliations

  1. , Faculty of Computer Science, Ss Cyrill and Methodius University, Ruger Boskovic 16, POBox 393, Skopje, 1000, Macedonia

    Smile Markovski

  2. , Faculty of Information Sciences, Ss Cyrill and Methodius University, Ruger Boskovic 16, Skopje, 1000, Macedonia

    Marjan Gusev

Rights and permissions

Reprints and Permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bozinovski, S. (2013). Controlling Robots Using EEG Signals, Since 1988. In: Markovski, S., Gusev, M. (eds) ICT Innovations 2012. ICT Innovations 2012. Advances in Intelligent Systems and Computing, vol 207. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37169-1_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-37169-1_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37168-4

  • Online ISBN: 978-3-642-37169-1

  • eBook Packages: EngineeringEngineering (R0)