Unsupervised Accuracy Estimation for Brain–Computer Interfaces Based on Selective Auditory Attention Decoding
In neuro-steered hearing aids, the accuracy estimates provided by our approach could support time-adaptive decoding, dynamic gain control, and neurofeedback. In BCIs, it could support a robust communication paradigm with accuracy feedback for caregivers.
Authors
- Simon Geirnaert (ORCID: https://orcid.org/0000-0002-4120-4232)
- M. A. López-Gordo (ORCID: https://orcid.org/0000-0002-5470-1764)
- Alexander Bertrand (ORCID: https://orcid.org/0000-0002-4827-8568)
Institutions
- Universidad de Granada (ES)
- Dynamic Systems (United States) (US)
- KU Leuven (BE)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1109/tbme.2025.3542253
- Citations
- 3
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 4.29