Interacting with the environment using a brain-computer interface involves mapping a decoded user command to a desired real-world action, which is typically achieved using screen-based user interfaces. This indirection can increase cognitive workload …
Attention-based brain-computer interface (BCI) paradigms offer a way to exert control, but also to provide insight into a user's perception and judgment of the environment. For a sufficient classification performance, user engagement and motivation …
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 …
Interpreting the brain activity to identify user goals or to ground a robot's hypotheses about them is a promising direction for non-intrusive and intuitive communication. Such a capability can be of particular relevance in the context of human-robot …