Riemannian Procrustes Analysis: Transfer Learning for Brain–Computer Interfaces

Conclusion and significance: We present a simple yet powerful method for matching the statistical distributions of two datasets, thus paving the way to BCI systems capable of reusing data from previous sessions and avoid the need of a calibration procedure.

Source: IEEE Transactions on Biomedical Engineering - July 19, 2019 Category: Biomedical Engineering Source Type: research