Automation of a Wheelchair using Hybrid BCI System

Authors

  • Vandana Akshath Raj  Department of electronics and Communication, AJIET, Mangalore, Karnataka, India

Keywords:

EEG, P300, SSVEP, motor imagery, BCI,CSP transformation matrix.

Abstract

To translate brain activity signals into control signals for external devices a system called Brain–computer interface (BCI) is used. It is difficult for current BCI systems to provide the multiple independent control signals necessary for the multi-degree continuous control of a wheelchair. The present paper address this challenge by adopting the motor imagery based mu rhythm and the P300 potential to control a brain-actuated real time wheelchair. The main objective of the present work is to provide a greater number of commands for a wheelchair with increased accuracy to the user.

References

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  3. S. Bermúdez i Badia, A. Garcia Morgade, H. Samaha, and P. F. M. J. Verschure, "Using a Hybrid Brain Computer Interface and Virtual Reality System to Monitor and Promote Cortical Reorganization through Motor Activity and Motor Imagery Training" IEEE transactions on neural systems and rehabilitation engineering, VOL. 21, NO. 2, March 2013
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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Vandana Akshath Raj, " Automation of a Wheelchair using Hybrid BCI System , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.29-34, March-April-2018.