Detection and automated interpretation of attention-related or intention-related brain activity carries significant promise for many military and civilian applications. This interpretation of brain activity could provide information about a person's intended movements, imagined movements, or attentional focus, and thus could be valuable for optimizing or replacing traditional motor-based communication between a person and a computer or other output devices. We describe here the objective and preliminary results of our studies in this area. © 2009 Springer.
CITATION STYLE
Brunner, P., & Schalk, G. (2009). Brain-computer interaction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5638 LNAI, pp. 719–723). https://doi.org/10.1007/978-3-642-02812-0_81
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