Real-time processing and plotting of data streamed over LSL, with a focus on student-led BCI projects.
-
Updated
Mar 15, 2019 - Python
Real-time processing and plotting of data streamed over LSL, with a focus on student-led BCI projects.
A set of tools to analyze and create charts from Muse EEG devices.
Personalized Training for the Sequence Learning task with the NAO robot and the MUSE EEG sensor
Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and learning using Sklearn tool.
A tool for visualizing EEG brainwaves from Muse headsets
Lucid dreaming tools: dream journal, random-voice-prompt engine, user scripts
A set of scripts to integrate sensor/actuator data with LXStudio over OSC
This project collects raw EEG signals sent by a Muse EEG Headband, parses it and writes it into a .csv file locally. This was a part of a project conducted in University of Missouri-Columbia, vSocial, a Virtual Reality Learning Environment for children with Autism.
EEG multiplayer game using Muse headbands
Hackathon project: ADHD treatment using real-time brainwave biofeedback.
AnalytiCeM is a mobile application that retrieve and analyze brain data, thanks to Muse headband.
A therapy app that interfaces with the Muse Headband to aid physicians in treating mental health concerns
POC to play with Muse EEG headset
a low-cost, convenient, remote, and consistent platform for research into Dementia
Live coding Web Bluetooth, a smart light bulb, Muse EEG headset and Chrome T-Rex game with React
Add a description, image, and links to the muse-headband topic page so that developers can more easily learn about it.
To associate your repository with the muse-headband topic, visit your repo's landing page and select "manage topics."