A Bayesian dynamic stopping method for evoked response brain-computer interfacing
We validate our proposed method on a publicly available dataset, comparing it with established static and dynamic stopping methods. Our results demonstrate that our approach offers a broad range of accuracy-speed trade-offs and achieves higher precision than baseline stopping methods.
Authors
- Peter Desain
- Jordy Thielen (ORCID: https://orcid.org/0000-0002-6264-0367)
- Sara Ahmadi (ORCID: https://orcid.org/0000-0002-0919-8565)
Institutions
- Radboud University Nijmegen (NL)
Publication Details
- Journal
- Frontiers in Human Neuroscience
- Published
- 2024-12-24
- DOI
- https://doi.org/10.3389/fnhum.2024.1437965
- Citations
- 4
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.37