Brain-Computer Interface for Navigation in Virtual Environments
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Updated
Feb 7, 2024
Brain-Computer Interface for Navigation in Virtual Environments
A display for training phase for motor imagery-based BCI (MI-based BCI) training using pygame.
Data and code related to BCI experiments with neurofeedback
Functional connectivity and brain network analysis for motor imagery data in stroke patients
Neuroexon presents a hybrid-BCI system that utilizes motor imagery (MI) and steady-state visual-evoked potential (SSVEP) to control a one degree of freedom arm exoskeleton which provides the user with haptic feedback.
This repo contains the code for my Bachelor-Thesis: Feature engineering for motor imagery classification.
Code accompanying the publication "Guiding Soft Robots with Motor-Imagery Brain Signals and Impedance Control" that received the Best Paper Award at the RoboSoft 2024.
University MS Thesis Project, Controlling an avatar in a Virtual Environment via EEG Motor Imagery
Classic BCI Algorithms implementation in MALTAB
Application to collect eeg data, analyze, and decode motor imagery classes in real time.
Deep Learning toolbox for EEG based Brain-Computer Interface signals decoding and benchmarking
This repository contains all the code used in the experiments of the paper Restricted Exhaustive Search for Frequency Band Selection in Motor Imagery Classification as well as additional information of the experiments and results, and how to reproduce them.
OpenViBE BCI paradigm for controlling a drone
Codes for employing PySimMIBCI for MI-EEG data generation and for using such data with FBCNetToolbox models
Motor Imagery System Using a Low-Cost EEG Brain Computer Interface.
Some studies regarding the selection of optimal channels in a BCI based on motor imagery
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