Design and Implementation of a Brain-Computer Interface using Brain Gate

Authors(2) :-K. Pavan kumar, B. MasthanBaba

Neural Interface System grounded on the Cybernetics platform innovation to detect, transmit, dissect and apply dialect of neurons to brain. The System comprises of a sensor that is dug in on the engine cortex of the brain and looks at cerebrum signals. The standard behind the Brain Gate framework is that, signals are produced in the engine cortex and they can't be sent straightforwardly to the arms, hands and legs because of spinal rope damage, stroke or other condition. The cerebrum signals are interpreted and converted into cursor developments, offering the client a substitute pathway through the Brain Gate System to control a PC just by considering, similarly as people who can move a PC mouse utilizing their hands.

Authors and Affiliations

K. Pavan kumar
Department of MCA, Sree Vidyanikethan Institute of Management, Sri Venkateswara University, Tirupati, Andhra Pradesh, India
B. MasthanBaba
Assistant Professor, Department of MCA, Sree Vidyanikethan Institute of Management, Tirupati, Andhra Pradesh, India

Brain–Computer Interface, Functional Model, Electroencephalography.

  1. Donchinet E. The mental prosthesis: Assessing the speed of a P300 based brain-computer interface.IEEE Trans. Rehab. Eng.2000 vol. 8, pp.174-179.
  2. Kennedy P.R. Direct control of a computer from the huma central nervous system.IEEE Trans. Rehab.Eng.2000 vol. 8, pp. 198-202.
  3. Middendor M. Brain-computer interfaces based on steady-state visual-evoked response. IEEE Trans.Rehab. Eng.2000 vol. 8, pp. 211-214,
  4. Special issue on brain-computer interfaces. IEEE Trans. Rehab. Eng.2000 vol. 8, pp. 1-270.
  5. Kennedy P.R., Bakay R.A.E., Moor., M.M., Adams, K., Goldwaithe J. Direct control of a computerfrom the human central nervous system. IEEE Trans. On Rehab. Eng.2000 8:198-202.
  6. Wessberg J., Stambaugh C.R., Kralik J.D., Beck P.D., Laubach M., Chapin J.K., Kim Biggs S.J.,Srinivassan M.A., Nicolelis M.A.L. Real-time prediction of hand trajectory by ensembles of corticalneurons in primates. Nature 2000; 408:361-365
  7. Nicolelis M.A.L. Actions from thoughts Nature2001; 409:403-407.
  8. .Just short of telepathy: can you interact with the outside world if you can't even blink an eyePsychology Today, May-June 2003
  9. Wolpaw J.R. Brain-computer interface technology: A review of the first international meeting, IEEETrans. on Rehab. Eng 2000; 8:164-173.
  10. Birbaumer N., Ghanayim N., Hinterberger T., Iversen I., Kotchoubey B., Kubler A., Perelmouter J.,Taub E., and Flor H. A spelling device for the paralysed. Nature1999; 398:297-298.
  11. Kalcher J., Flotzinger D., Neuper C., Golly S., and PfurtschellerG.Graz Brain computer interface II.Med. & Biol. Eng. & Comput. 1999; 34:382-388
  12. Kostov A., Polak M. Parallel man-machine training in development EEG-based cursor control. IEEETrans. Rehab. Eng.2000; vol. 8.pp. 203-205.
  13. Pfurtscheller G. Current trends in Graz brain-computer interface. IEEE Trans. Rehab. Eng 2000. vol. 8,pp. 216-219.
  14. WolpawJ.R.Brain-computer interface research at the Wadsworth Center. IEEE Trans. Rehab.Eng.2000 vol. 8, pp. 222-226.
  15. Penny WD.EEG-based communication: A pattern recognition approach. IEEE Trans. Rehab. Eng.2000vol. 8, pp. 214-215.

Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 308-313
Manuscript Number : CSEIT1833291
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

K. Pavan kumar, B. MasthanBaba , "Design and Implementation of a Brain-Computer Interface using Brain Gate", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.308-313, March-April-2018.
Journal URL :

Article Preview