Automation of a Wheelchair using Hybrid BCI System

Authors(1) :-Vandana Akshath Raj

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 3 | Issue 3 | 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) : 29-34
Manuscript Number : CSEIT183328
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Vandana Akshath Raj, "Automation of a Wheelchair using Hybrid BCI System ", International 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.
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