Our research aims at developing the online BCI system for motor rehabilitation. 
We mainly investigate user's motor intention using electroencephalograph(EEG) so that the device or robot can help patients who have motor disorder such as Stroke and Parkinson's disease.
It is important to detect motor intention from motor imagery, because there are some cases that patients have completely lost their motor function.
In order to make more accurate and safer BCI system, now we are focusing on stop motor intention and carrying out the project including proper task design, model for EEG feature detection and application of online BCI to external device.