A novel hybrid method based on task-related component and canonical correlation analyses (H-TRCCA) for enhancing SSVEP recognition
Remarkably H-TRCCA achieves comparable performance to other methods that require five trials, utilizing only two or three training trials. The proposed H-TRCCA method outperforms state-of-the-art techniques, showing superior performance and robustness with limited calibration data.
Authors
- Tahereh Ghadiri (ORCID: https://orcid.org/0000-0002-3568-8699)
- Nasser Samadzadehaghdam (ORCID: https://orcid.org/0000-0002-5027-3416)
- Amin Besharat
Institutions
- Tabriz University of Medical Sciences (IR)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2025-04-25
- DOI
- https://doi.org/10.3389/fnins.2025.1544452
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Tabriz University of Medical Sciences
- University of Tabriz