Data-driven spatial filtering algorithms optimize scores, such as the contrast between two conditions to extract oscillatory brain signal components. Most machine learning approaches for the filter estimation, however, disregard within-trial temporal …
With growing availability of robots and rapid advances in robot autonomy, their proximity to humans and interaction with them continuously increases. In such interaction scenarios, it is often evident what a robot should do, yet unclear how the …