Abstract
This paper presents first results of an Adaptive Brain Interface suitable for deployment outside controlled laboratory settings. It robustly recognizes three cognitive mental states from on-line spontaneous EEG signals and may have them associated to simple commands. Three commands allow interacting intelligently with a computer-based system through task decomposition. Our approach seeks to develop individual interfaces since not two people are the same either physiologically or psychologically. Thus the interface adapts to its owner as its neural classifier learns user-specific filters.
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© 1999 Springer-Verlag Berlin Heidelberg
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Millán, J.d.R. et al. (1999). Adaptive Brain Interfaces. In: Mira, J., Sánchez-Andrés, J.V. (eds) Engineering Applications of Bio-Inspired Artificial Neural Networks. IWANN 1999. Lecture Notes in Computer Science, vol 1607. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0100488
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DOI: https://doi.org/10.1007/BFb0100488
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