A P300-based EEG-BCI for spatial navigation control.
In this study, a Brain Computer Interface (BCI) based on the P300 oddball paradigm has been developed for spatial navigation control in virtual environments. Functionality and efficacy of the system were analyzed with results from nine healthy volunteers. Each participant was asked to gaze at an individual target in a 3×3 P300 matrix containing different symbolic navigational icons while EEG signals were collected. Resulting ERPs were processed online and classification commands were executed to control spatial movements within the MazeSuite virtual environment and presented to the user online during an experiment. Subjects demonstrated on average, ∼89% online accuracy for simple mazes and ∼82% online accuracy in longer more complex mazes. Results suggest that this BCI setup enables guided free-form navigation in virtual 3D environments.
Drexel University School of Biomedical Engineering Science & Health Systems, Philadelphia, PA 19104, USA. abc48@drexel.edu
Adrian
A
Curtin
Hasan
H
Ayaz
Yichuan
Y
Liu
Patricia A
PA
Shewokis
Banu
B
Onaral
D001921:Brain / Q000502:physiology*; D004569:Electroencephalography; D018913:Event-Related Potentials, P300 / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D009949:Orientation / Q000502:physiology*; D010775:Photic Stimulation; D015203:Reproducibility of Results; D014584:User-Computer Interface; D055815:Young Adult