An Adaptive Approach for Task-Driven BCI Calibration
One of the most significant obstacles for the everyday use of systems based on BrainComputer Interfaces (BCIs) is the tediousness of calibration. Successful improvements on calibration, particularly the time needed and the userexperience, have been made with, e.g., transfer learning, gamification, and task estimation [1, 2, 3]. Inthis work, we present an adaptive approach to BCI systems’ calib