Open-Source Brain-Computer Interface, ADS1299 and STM32

Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth)

A terminal app written in Node.js to monitor brain signals in real-time

A Node.js library that reads your mind with Emotiv EPOC EEG headset

A driver, parser and real time plotter for NeuroSky MindWave EEG headset

Python API for Mentalab biosignal aquisition devices

Monitors the EEG data from NeuroSky ThinkGear compatible devices like the MindSet and MindWave and triggers audio tracks when rapid eye movement patterns are detected.

Personalized Training for the Sequence Learning task with the NAO robot and the MUSE EEG sensor

Some python scripts to get data about brain waves values from NeuroSky's Mindwave

NeuroSky MindWave & MindWave Mobile EEG Headset library for Windows 10 Universal applications

In this project, we address the problem of eye-blink detection and analysis of left and right human eye blinks using EEG signals with help of Neurosky Mindwave Mobile. The purpose of this project is to monitor and understanding of eye blinks for proper communication with a person

An android app that displays EEG readings from a NeuroSky Mindwave headset.

Live coding Web Bluetooth, a smart light bulb, Muse EEG headset and Chrome T-Rex game with React

maintainance of the code for complex network analysis based modeling of Event Related Potential (ERP) electroencephalography (EEG) data from baby brain, can be applied to other data, including human brain.

An interactive mobile application along with a desktop application and an EEG headset (Emotiv). The mobile application allows the user to view his/her emotion levels at the moment, explore the personalized happiness heatmap, and play music tracks while observing the change in the emotions' levels.

This project is based on work of OpenEEG project and Olimex's implementation of it. This project is free to use, but is bound by Creative Commons Attribution-Sharealike license. More info can be found at http://openeeg.sourceforge.net .

Neurosky Mindwave Mobile 2 based BCI

An OpenSesame 2 class motor imagery scenario with PL2303TA trigger

Openframeworks application displaying the brainwaves frequencies by connecting to an eeg headset through arduino

An app to disable notifications on your phone when you are concentrated.