title: A brain computer interface for robust wheelchair control application based on pseudorandom code modulated Visual Evoked Potential.
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.
authors.forename: Ali
authors.initials: A
authors.lastname: Mohebbi
authors.forename: Signe K D
authors.initials: SK
authors.lastname: Engelsholm
authors.forename: Sadasivan
authors.initials: S
authors.lastname: Puthusserypady
authors.forename: Troels W
authors.initials: TW
authors.lastname: Kjaer
authors.forename: Carsten E
authors.initials: CE
authors.lastname: Thomsen
authors.forename: Helge B D
authors.initials: HB
authors.lastname: Sorensen
mesh_terms: D001921:Brain; D062207:Brain-Computer Interfaces; D004569:Electroencephalography; D005074:Evoked Potentials, Visual; D006801:Humans; D010775:Photic Stimulation; D010865:Pilot Projects; D014584:User-Computer Interface; D014910:Wheelchairs