2009 Special Issue: The MindGame: A P300-based brain-computer interface game

  • Authors:
  • Andrea Finke;Alexander Lenhardt;Helge Ritter

  • Affiliations:
  • Research Institute for Cognition and Robotics - CoR-Lab, Bielefeld University, Germany and Neuroinformatics Group, Faculty of Technology, Bielefeld University, Germany;Neuroinformatics Group, Faculty of Technology, Bielefeld University, Germany;Research Institute for Cognition and Robotics - CoR-Lab, Bielefeld University, Germany and Neuroinformatics Group, Faculty of Technology, Bielefeld University, Germany

  • Venue:
  • Neural Networks
  • Year:
  • 2009

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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.