Brain-Computer Interface Designers Hackathon, Linz, 2018.

In September 2018, I entered the international brain-computer interface hackathon ‘BR41N’ in Linz, Austria. Using a 32 channel EEG across the motor cortex, I built a two category classification model within a specific programme in MATLAB. This allowed me to use the principles of motor imagery to neurally control an orthosis device. I developed a device that allowed Locked in Syndrome (LIS) patients to not only control a music player but also provide them with haptic feedback to the fingertips to stimulate the feeling of playing the piano. Applying the principles of neuroscience to provide artistic freedom to LIS patients was one of the most rewarding things I’ve ever achieved. I earned 3rd place with my invention and received a monetary prize from the Institute of Electrical and Electronics Engineers (IEEE).

Team members: Laurence Richard Freemann, Timar Ivo Batis, Sophie Richter





Step 1: Using a 32 channel EEG to control a music database by skipping and selecting songs


Step 2: Using classified signal input for individual finger control to play the piano keys


Step 3: Haptic feedback and full prosthetic hand control for an authentic piano playing experience