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® MINDSTORM® 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.
Originalsprog | Engelsk |
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Titel | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC |
Antal sider | 4 |
Forlag | IEEE |
Publikationsdato | 2015 |
Sider | 602-605 |
DOI | |
Status | Udgivet - 2015 |
Begivenhed | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italien Varighed: 25 aug. 2015 → 29 aug. 2015 |
Konference
Konference | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 |
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Land/Område | Italien |
By | Milan |
Periode | 25/08/2015 → 29/08/2015 |