Quantifying Spatial Domain Explanations in BCI using Earth Mover's Distance

arXiv:2405.01277v1 Announce Type: cross
Abstract: Brain-computer interface (BCI) systems facilitate unique communication between humans and computers, benefiting severely disabled individuals. Despite decades of research, BCIs are not fully integrated into clinical and commercial settings. It's crucial to assess and explain BCI performance, offering clear explanations for potential users to avoid frustration when it doesn't work as expected. This work investigates the efficacy of different deep learning and Riemannian geometry-based classification models in the context of motor imagery (MI) based BCI …

abstract arxiv bci brain brain-computer interface clear clinical commercial communication computer computers cs.et cs.hc cs.lg domain earth humans mover performance research spatial systems type unique