Asynchronous BCI and local neural classifiers: an overview of the adaptive brain interface project
JR Millan, J Mouri�o�- IEEE transactions on neural systems and�…, 2003 - ieeexplore.ieee.org
JR Millan, J Mouri�o
IEEE transactions on neural systems and rehabilitation engineering, 2003•ieeexplore.ieee.orgIn 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�…
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�…
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).
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