Spectral Transfer Learning using Information Geometry for a User-Independent Brain-Computer Interface
Recent advances in signal processing and machine learning techniques have enabled the application of Brain-Computer Interface (BCI) technologies to fields such as medicine, industry and recreation.However, BCIs still suffer from the requirement of frequent calibration Eyewear sessions due to the intra- and inter- individual variability of brain-sig