2026/06/29 by Markus Crell, Kyriaki Kostoglou, Patrick Suwandjieff +2 · 1 voice
Neuroscience · Computer Science · Medicine · #EEG and Brain-Computer Interfaces #Gaze Tracking and Assistive Technology #Neurological disorders and treatments
paper · doi:10.64898/2026.06.23.733968
openalex publication_date 2026/06/29 · openalex created_date 2026/06/30 · openalex updated_date 2026/07/15
ABSTRACT Non-invasive brain-computer interfaces (BCIs) have substantially advanced in the field of continuous cursor control over the past decade. Yet, current methods lack key control aspects such as initiation and termination of cursor movements as well as evaluation in real-world applications. In this study, we introduce a framework for continuous, electroencephalography-based cursor control that supports both active movement and no-movement states, thereby allowing for inactive periods of the user when no control input is desired. We demonstrate its applicability in healthy participants and show its performance in real-world application through the selection of targets on a screen. This demonstrates that participants can leverage the continuous control cursor control and the intentional starting and stopping of motions to effectively select targets on a screen through dwell-time selection. On average, 7.1 out of 40 targets were correctly selected (level of significant performance: 4.5 targets), while experienced BCI users achieved an average of 12.8 targets. The proposed framework additionally demonstrates compatibility with motor-impaired people without residual hand motions since it does not rely on observable movements for model training.