National Academic Course
In the course we'll learn about Brain-Computer Interfaces, from hardware to code, and implement this knowledge into a working real-time system with and for people with ALS.
On this page below we'll keep you updated on the different teams, and their progress.
If you're looking for ways to support this effort or you are an engineer wanting to volunteer time and knowledge to help the teams - please contact us.
Finished the first semester!
The students finished learning about the technical aspects of BCI, and are now starting to work with their designated ALS mentors.
In the next semester, the student teams will meet with their mentors and record EEG activity to individualize the machine learning algorithms they developed in the first semester.