This project aims to promote data literacy through the creative representation of the Quantified Self. It's meant to serve as a learning resource for students seeking to understand, play around, collect and visualize their physiological signals.
I wrote a bit of documentation that provides some of the basics:
- How to use and connect devices
- Add/edit P5.js visualizations
- A small guide on interpreting EEG signal metrics
And also includes advanced information to allow developers to contribute with new components that seamlessly interact with the data that's already streaming from the devices.
This is a simple web app built using React and Node.js. It leverages multiple frameworks for working with different devices and being able to process their data within JavaScript. The implementation of future devices is being explored through LSL and/or Brainflow. Currently it has support fot the devices listed here.
EEG sensing headband. The application interfaces with the Muse using the Chrome's Bluetooth API thanks to the muse-js module.
A variety of wireless EEG headsets. EMOTIV provides access to derived EEG metrics using their launcher and the Cortex API. Raw EEG metrics require a paid license in the EMOTIV launcher. Currently, the API keys and the license information can be specified in your own .env file.
The project uses P5.js as the basis for the creative visualizations. Since P5.js is being used in instance mode, rather than running its scripts within the header and providing a global namespace, the syntax is slightly different (more on this page). In the code base, you will also find a React implementation of three-js and Shaderpark.
This project was bootstrapped with Create React App. To install the required dependencies, navigate to the project directory and run:
Afterwards, you can run:
Runs the app in the development mode.
Open http://localhost:3000 to view it in your browser.
The page will reload when you make changes.
You may also see any lint errors in the console.
This app was created at NYU
