Asynchronous BCI and local neural classifiers: an overview of the adaptive brain interface project

José del R. Millán, J. Mouriño

IEEE Transactions on Neural Systems and Rehabilitation Engineering · 2003 · 291 citations · 16 references

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Abstract

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).

References

16