Classification of EEG signals in the ambiguity domain for brain computer interface applications

Human-computer interaction research for motor impaired people has led to the design of various brain computer interfaces (BCI) based on the analysis of electroencephalographic signals (EEG). We propose a flexible and modular BCI system to allow subjects to interact with a computer based on EEG classification in the ambiguity domain.

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