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Calibration-Free BCI Based Control

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Academic year: 2021

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Figure 2: Results from the online experiment: Evolution of the probability of the correct task for each subject and run.
Figure 3: Comparison of different exploration methods. Our proposed method, based on the uncertainty on the task and the signals interpretation, allows to lead the system to  re-gions that improve disambiguation among hypotheses in a faster way
Figure 5: Number of targets correctly identified in 400 it- it-erations (the markers show the median values and the  er-ror bars the 2.5th and 97.5th percentiles)

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