Abstract
In this pilot study, a novel and minimalistic
Brain Computer Interface (BCI) based wheelchair control
application was developed. The system was based on pseudorandom
code modulated Visual Evoked Potentials (c-VEPs).
The visual stimuli in the scheme were generated based on the
Gold code, and the VEPs were recognized and classified using
subject-specific algorithms. The system provided the ability of
controlling a wheelchair model (LEGO
R MINDSTORM
R EV3
robot) in 4 different directions based on the elicited c-VEPs. Ten
healthy subjects were evaluated in testing the system where an
average accuracy of 97% was achieved. The promising results
illustrate the potential of this approach when considering a real
wheelchair application.
Original language | English |
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Title of host publication | Proceedings of 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
Publisher | IEEE |
Publication date | 2015 |
Pages | 602-605 |
ISBN (Print) | 978-1-4244-9270-1 |
DOIs | |
Publication status | Published - 2015 |
Event | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Milan, Italy Duration: 25 Aug 2015 → 29 Aug 2015 Conference number: 37 |
Conference
Conference | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Number | 37 |
Country/Territory | Italy |
City | Milan |
Period | 25/08/2015 → 29/08/2015 |