Summary: I detected my blinking using the OpenBCI biosensing kit and wrote a python program to convert it into pressing the space bar.

How this works: Implemented electrooculography (EOG)! So, the eyeball is positively charged near the front (cornea) and negatively charged near the back. Blinks are vertical movements that cause significant spikes and valleys in the amplitudes of recorded brainwaves. A threshold is set in python script.

Video demo

Summary: How do your users feel about the ad? Getting non-sugarcoated feedback seems impossible--but wait: Smiling and frowning each correspond to activating of a muscle group. We can detect changes in voltage of these groups and connect the results to lighting up LEDs.

Unless the user is under muscle relaxants, this method always picks up the accurate responses, one-up surveys and computer vision analyses. This method can be combined to also output gaze direction and emotional response intensity, which has strong applications in marketing.

Summary:

First, a 20 sec musical sample is generated. The amplitudes of brainwaves are mapped into a good-sounding musical scale (C Locrian).

Then we iterate: The sample is repeatedly passed into MuseNet for 7+ times, which is an AI model for extending music.

Summary:

The current diagnosis for ADHD is subjective and slow. Some BCIs are approved to improve the accuracy of a specific subtype of ADHD.

The current medical treatment involves guess and checking the right drug, while CBT is an indirect solution and depend on willpower.

Some BCIs can directly alter biology by stimulating the brain. Some can provide fast feedback on focus while offering engaging games