Unsupervised adaptive GMM for BCI
Bashar Hasan, John Q. Gan · 2009
An unsupervised adaptive Gaussian mixture model is introduced for online brain-computer interfaces (BCI). The method is tested on two BCI data sets, demonstrating significant performance improvement in comparison with a static model.