Human-Computer adaptation for EEG based communication
Brain-computer interface (BCI) systems allow the user to interact with a computer by merely thinking. Successful BCI operation depends on the continuous adaptation of the system to the user and on the user motivation. This paper presents a model of continuous adaptation using kernel based dynamic data characterization. Additionally, the adaptive capabilities of the brain are engaged by providing feedback to the user who can modulate her mental activity so as to make the BCI accomplish her intents.