This project is about the development Motor imagery-based Brain-Computer Interface (MI-based BCI) system. We developed the system to detect the brain signals during a subject imagines, then translate them into proper commands for controlling the exoskeleton system such as sitting and standing.
This project can assist disabled people to sit and stand by using their imagination and also help them to rehabilitation training.
First, The result shows that our algorithm can not classify the difference of sit and stand.
Then, The result shows that our algorithm enhances the model effiency. However, we still have error points.
Finally, This is the best result, which shows that our algorithm can classify the difference of sit and stand. Accuracy is about 88 %.
Please click here for the live demo with Exoskeleton