Changing the P300 brain computer interface.
Brain-computer interfaces (BCIs) are now feasible for use as an alternative control option for those with severe motor impairments. The P300 component of the evoked potential has proven useful as a control signal. Individuals do not need to be trained to produce the signal, and it is fairly stable and has a large evoked potential. Even with recent signal classification advances, on-line experiments with P300-based BCIs remain far from perfect. We present two potential methods for improving control accuracy. Experimental results in an evoked potential BCI, used to control items in a virtual apartment, show a reduced response exists when items are accidentally controlled. The presence of a P300-like signal in response to goal items means that it can be used for automatic error correction. Preliminary results from an interface experiment using three different button configurations for a yes/no BCI task show that the configuration of buttons may affect on-line signal classification. These results will be discussed in light of the special considerations needed when working with an amyotrophic lateral sclerosis (ALS) patient.
Bayliss
Jessica D
JD
Computer Science Department, Rochester Institute of Technology, Rochester, New York, USA. jdb@cs.rit.edu
Inverso
Samuel A
SA
Tentler
Aleksey
A
D001921:Brain / Q000502:physiology*; D003201:Computers; D018913:Event-Related Potentials, P300 / Q000502:physiology*; D006801:Humans; D008962:Models, Theoretical; D014584:User-Computer Interface