An Adaptive Approach for Task-Driven BCI Calibration

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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]. In
this work, we present an adaptive approach to BCI systems’ calibration with a model that evaluates if more calibration is needed. We inspect the model in its simplest form to showcase its versatility.
StatusPublished - 2021 juni
EvenemangBCI meeting 2021 - Virtual
Varaktighet: 2021 juni 72021 juni 9


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