Inspiration
This project was inspired by our class, CS 491/591 - Brain Computer Interfaces. We had fleshed out the idea previously and had some put together a small proof of concept to demonstrate the idea.
For the hackathon, we redid all of the implementation from scratch, including a total rewrite in a different framework and the addition of several new features.
What it does
The app focuses on measuring EEG data provided by the OpenBCI framework correlated with a particular song. It then displays the relative frequencies on two axes. Each quadrant is correlated to a particular mood.
| X | Low Alpha | High Alpha |
|---|---|---|
| High Beta | Stressed, Quick and Brash | Study, Beat-Driven |
| Low Beta | Angsty, Sporadic | Spaced Out, Mellow |
How we built it
Using the OpenBCI toolkit, Python, Flask, and Angular
Challenges we ran into
Correlating BCI data to time data for the song.
Built With
- angular.js
- openbci
- python
