Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
405603 | Neural Networks | 2009 | 5 Pages |
Abstract
We present a Brain–Computer Interface (BCI) game, the MindGame, based on the P300 event-related potential. In the MindGame interface P300 events are translated into movements of a character on a three-dimensional game board. A linear feature selection and classification scheme is applied to identify P300 events and calculate gradual feedback features from a scalp electrode array. The classification during the online run of the game is computed on a single-trial basis without averaging over subtrials. We achieve classification rates of 0.65 on single-trials during the online operation of the system while providing gradual feedback to the player.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Andrea Finke, Alexander Lenhardt, Helge Ritter,