Asynchronous BCI and local neural classifiers: an overview of the Adaptive Brain Interface project.
In this communication, we give an overview of our work on an asynchronous brain-computer interface (where the subject makes self-paced decisions on when to switch from one mental task to the next) that responds every 0.5 s. A local neural classifier tries to recognize three different mental tasks; it may also respond "unknown" for uncertain samples as the classifier has incorporated statistical rejection criteria. We report our experience with 15 subjects. We also briefly describe two brain-actuated applications we have developed: a virtual keyboard and a mobile robot (emulating a motorized wheelchair).
Millán
José del R
Jdel R
Joint Research Centre, European Commission, 1-21020 Ispra (VA), Italy. jose.millan@idiap.ch
Mouriño
Josep
J
D000222:Adaptation, Physiological / Q000502:physiology*; D000465:Algorithms; D001921:Brain / Q000502:physiology*; D004569:Electroencephalography / Q000145:classification / Q000379:methods*; D005071:Evoked Potentials / Q000502:physiology; D006801:Humans; D010363:Pattern Recognition, Automated; D013850:Thinking / Q000145:classification / Q000502:physiology*; D014584:User-Computer Interface