A brain computer interface for robust wheelchair control application based on pseudorandom code modulated Visual Evoked Potential

Ali Mohebbi, Signe K.D. Engelsholm, Sadasivan Puthusserypady, Troels W. Kjaer, Carsten E. Thomsen, Helge B.D. Sorensen

Publikation: Bidrag til bog/antologi/rapportKonferencebidragForskningpeer review

Abstrakt

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.

OriginalsprogEngelsk
Titel2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
ForlagInstitute of Electrical and Electronics Engineers Inc.
Sider602-605
Antal sider4
ISBN (Elektronisk)9781424492718
DOI
StatusUdgivet - 4 nov. 2015
Begivenhed37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italien
Varighed: 25 aug. 201529 aug. 2015

Publikationsserier

NavnProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Vol/bind2015-November
ISSN (Trykt)1557-170X

Konference

Konference37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
LandItalien
ByMilan
Periode25/08/1529/08/15

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