Transfer learning algorithm design for feature transfer problem in motor imagery brain-computer interface

The non-stationary of the motor imagery electroencephalography(MI-EEG) signal is one of the main limitations for the development of motor imagery brain-computer interfaces(MI-BCI). The non-stationary of the MI-EEG signal and the changes of the experimental environment make the feature distribution of the testing set and training set deviates, which reduces the classification accuracy of MI-BCI. In...