Proposed System for Controlling of the Robot using the Brain Signal

  • Vrushali Shivaji More University of Pune
  • Sajid Shaikh
Keywords: EEG Signal Sensor, BCI Section

Abstract

This paper introduces proposed system which gives control of robot using brain signals (EEG) based on Brain–computer interfaces (BCI). Electroencephalography is a medical imaging technique that reads scalp electrical activity generated by brain structures. Electrodes read the signal from the head surface, amplifiers bring the microvolt signals into the range where they can be digitalized accurately, converter changes signals from analog to digital form, and personal computer (or other relevant device) stores and displays obtained data. BCIs are systems that provide direct communication and control between the human brain and physical devices by translating different patterns of brain activity into commands in real time. With these commands a robot can be controlled. The motto of the paper work is to develop a robot that can help the disabled or paralysed people in their daily life to do some work independently .

References

[1] K. Yendrapalli “The Brain Signal Detection for Controlling the Robot” International Journal of Scientific Engineering and Technology Volume No.3 [2] N. AGARWAL “Portable cost-effective EEG data acquisition system” Journal of Medical Engineering & Technology, 2011 [3] EEG SIGNAL PROCESSING, Saeid Sanei and J.A. Chambers January 2007 Centre of Digital Signal Processing Cardiff University, UK [4] M. Teplan “ FUNDAMENTALS OF EEG MEASUREMENT” MEASUREMENT SCIENCE REVIEW, Volume 2, Section 2, 2002 [5] J.D.Bronzino.1995.Principlesof Electroencephalography. In: J.D. Bronzino ed. The Biomedical
Engeneering Handbook, pp. 201-212, CRC Press, Florida. [6] Neuroscan, Product catalog, 2009, http://www.neuroscan.com/quick caps.cfm. [7] NeuroSky Products & Market , http://www.neurosky.com/productsmarket [8] http://mindwave.neurosky.com
Published
2018-03-23
How to Cite
More, V., & Shaikh, S. (2018). Proposed System for Controlling of the Robot using the Brain Signal. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 1(1). Retrieved from http://www.asianssr.org/index.php/ajct/article/view/116
Section
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