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Brain Computer Interface System for Mind Controlled Robot using Bluetooth

by Siliveru Ramesh, M.gopi Krishna, Madhu Nakirekanti
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 104 - Number 15
Year of Publication: 2014
Authors: Siliveru Ramesh, M.gopi Krishna, Madhu Nakirekanti
10.5120/18278-9186

Siliveru Ramesh, M.gopi Krishna, Madhu Nakirekanti . Brain Computer Interface System for Mind Controlled Robot using Bluetooth. International Journal of Computer Applications. 104, 15 ( October 2014), 20-23. DOI=10.5120/18278-9186

@article{ 10.5120/18278-9186,
author = { Siliveru Ramesh, M.gopi Krishna, Madhu Nakirekanti },
title = { Brain Computer Interface System for Mind Controlled Robot using Bluetooth },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 104 },
number = { 15 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume104/number15/18278-9186/ },
doi = { 10.5120/18278-9186 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:36:14.648737+05:30
%A Siliveru Ramesh
%A M.gopi Krishna
%A Madhu Nakirekanti
%T Brain Computer Interface System for Mind Controlled Robot using Bluetooth
%J International Journal of Computer Applications
%@ 0975-8887
%V 104
%N 15
%P 20-23
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes the Mind Controlled Robot based on Brain Computer Interface (BCI) using LabVIEW to analysis the brain waves. BCIs are systems that may bypass typical channels of communication (i. e. , muscles and thoughts) to supply direct communication and management between the human brain and physical devices by translating different patterns of brain activity into commands in real time. With these commands a mobile robot can be controlled. The intention of the project work is to develop a mechanism that may assist the disabled folks in their everyday life to do some work freelance on others. Here, they tend to are analyzing the brain wave signals. Human brain consists of innumerable interconnected neurons. The patterns of interaction between these neurons are delineating as thoughts and emotional states. In step with the human thoughts, this pattern are going to be dynamical that successively manufacture totally different electrical waves

References
  1. Luzheng Bi, Xin-An Fan, Yili Liu "EEG-Based Brain-controlled Mobile Robots: A survey", Human-Machine Systems, IEEE Transactions on (Volume: 43, Issue: 2), pp. 161-176, Mar 2013.
  2. Kale Swapnil T, Mahajan Sadanand P, Rakshe Balu G, Prof. N. K. Bhandari "Robot Navigation control through EEG Based Signals" International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume 3 Issue 3 March-2014 Page No. 5105-5108.
  3. Priyanka. M Manju Paarkavi. R Dhanasekhar. S "An Intelligent Acoustic Communication System for Aphasia Forbearings" International Conference on Signal Processing, Embedded System and Communication Technologies and their applications for Sustainable and Renewable Energy (ICSECSRE '14), Vol. 3, Special Issue 3, April 2014.
  4. John Jonides, Patricia A. Reuter-Lorenz, Edward E. Smith, Edward Awh, Lisa L. Barnes, Maxwell drain, Jennifer Glass, Erick J. Lauber, Andrea L. Patalano, Eric H. Schumacher, "Verbal and Spatial Working Memory in Humans" The Psychology of Learning and Motivation, Vol. 35.
  5. I. I. Goncharova, D. J. McFarland, T. M. Vaughan, J. R. Wolpaw "EMG contamination of EEG: spectral and topographical characteristics" Clinical Neurophysiology 114 (2003) 1580–1593.
  6. Sparkfun, "Xbee manual" [online] Available: https://www. sparkfun. com/datasheets/Wireless/Zigbee/XBee-Manual. pdf
  7. Cytron Technologies, "SKXbee starter kit" [online] Available: http://www. cytron. com. my/datasheet/WirelessDevice/SKXbee_User's_Manual_v1. pdf
  8. C. Fonseca, J. P. S. Cunha, R. E. Martins, V. M. Ferreira, J. P. M. de Sa, M. A. Barbosa, and A. M. da Silva, "A novel dry active electrode for EEG recording," IEEE Trans. Biomed. Eng. , vol. 54, no. 1, pp. 162–165, Jan. 2007.
  9. F. Popescu, Y. Fazli, S. Badower, B. Blankertz, and K. -R. Muller,¨ "Single trial classification of motor imagination using 6 dry EEG electrodesm," PLoS ONE, vol. 2, no. 7, 2007.
  10. A. Taheri, R. Knight, and R. Smith, "A dry electrode for EEG recording", Electroencephalogr. Clin. Neurophysiol. vol. 90, no. 5, pp. 376–383,May 1994.
  11. A. Searle and L. Kirkup, "A direct comparison of wet, dry and insulating bioelectric recording electrodes," Physiol. Meas. , vol. 21, no. 2, pp. 71– 83, May 2000.
  12. G. Gargiulo, P. Bifulco, R. A. Calvo, M. Cesarelli, C. Jin, A. McEwan, and A. van Schaik, Intelligent and Biosensors. Rijeka, Croatia: In Tech, Jan. 2010, ch. 6.
  13. E. W. Sellers, P. Turner, W. A. Sarnacki, T. Mcmanus, T. M. Vaughan, and B. Matthews, "A novel dry electrode for brain–computer interface," in Proc. 13th Int. Conf. Human–Computer Interac. , San Diego, CA, 2009, pp. 623–631.
  14. T. J. Sullivan, S. R. Deiss, T. P. Jung, and G. Cauwenberghs, "A brain– machine interface using dry-contact low-noise EEG sensors," in Proc. Conf. Rec. 2008 IEEE Int. Symp. Circuits Syst. , Seattle, WA, May 2008,pp. 1986–1989.
  15. J. d. R. Millan, R. Rupp, G. R. Muller-Putz, R. Murray-Smith, C. Giugliemma, M. angermann, C. Vidaurre, F. Cincotti, A. Kubler, R. Leeb, C. Neuper, K. -R. Muller, and D. Mattia, "Combining brain–computer interfaces and assistive technologies state-of-the-art and challenges," Frontiers Neurosci. , vol. 4, pp. 1–15, 2010.
  16. Neurosky, "Mind-set instruction manual", [online] Available: http://developer. neurosky. com/docs/doku. php?id=mindset_instruction_manual.
Index Terms

Computer Science
Information Sciences

Keywords

EEG sensor Brain Computer Interface (BCI) communication module relay Driver.

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