Not supported. Measure 8 EEG channels with Shield PiEEG and RaspberryPi in C library

Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application

This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.

Must-read papers on machine learning, deep learning, reinforcement learning and other learning methods for brain-computer interfaces.

This project explores the impact of Multi-Scale CNNs on the classification of EEG signals in Brain-Computer Interface (BCI) systems. By comparing the performance of two models, EEGNet and MSTANN, the study demonstrates how richer temporal feature extractions can enhance CNN models in classifying EEG signals

A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualization & analysis), papers(research and summary), deep learning models(reproduction and experiments).

EEG Brain-Computer Interface to play Flappy Bird and use SSVEP to communicate

Cerebral Signal's Instantaneous Parameters (Phase, Frequency & Envelope) Estimation & Analysis MATLAB Toolbox

A Darwin Ecosystem open source Cognitve project with BCI systems and IBM Watson Technology

Developed an Electroencephalography(EEG) based Brain Computer Interface to play Pong with brain activity

Code to accompany our International Conference on Robotics and Automation (ICRA) paper entitled - Using variable natural environment brain-computer interface stimuli for real-time humanoid robot navigation.

Projects corresponding to the domain of electronic and vision-based bio-medical engineering.

Contains all the code that was used to make a mind controlled drone using the Neurosky Mindwave Headset.

A MATLAB toolbox for classification of motor imagery tasks in EEG-based BCI system with CSP, FB-CSP and BSSFO

Quadcopter Control Along with sensor fusion of EEG data along with eye tracking data using the Extended Kalman Filter

Eye-Blink Artefact Detection From Low-Cost EEG Brain Computer Interface with k-means++

The Emotion 300 Project: An Emotion Classification Messaging App w/ P300 Speller.

Quantification of ERD/ERS brain patterns in Motor Imagery Based BCI

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 .