Transferring Subject-Specific Knowledge Across Stimulus Frequencies in SSVEP-Based BCIs
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DOI: 10.1109/tase.2021.3054741
Abstract: Learning from subject’s calibration data can significantly improve the performance of a steady-state visually evoked potential (SSVEP)-based brain–computer interface (BCI), for example, the state-of-the-art target recognition methods utilize the learned subject-specific and stimulus-specific model parameters.… read more here.
Keywords: calibration; ssvep based; stimulus frequencies; model parameters ... See more keywords