Welcome to our HackRU project discussion forum. This repository is dedicated to developing an interface that leverages the MUSE EEG headband to control applications with brain activity.
Our goal is to utilize the MUSE EEG headband to detect concentration levels in real-time and translate them into actions in various applications, such as automating the Chrome Dino game based on the user's focus.
We are building upon the work of existing repositories to interface with the MUSE EEG headband and stream data in real-time:
For detailed information on operating the MUSE EEG headband, refer to the MUSE User Guide.
We successfully connected to the MUSE device with the following identifier:
Muse-3E67, MAC Address 00:55:DA:B3:3E:67.
The attached figure Agora_Hills_Figure_1.png demonstrates a sample EEG data output with each line representing the electrical activity from different electrodes placed on the scalp. Here's a brief on the label conventions:
TP9,TP10: Represent electrode locations in the temporal regions of the brain.AF7,AF8: Indicate frontal electrode sites near the prefrontal areas.Right AUX: Refers to an auxiliary channel on the right side.
Each label is followed by the signal amplitude in microvolts (µV), indicative of the EEG signal strength at that location.
We welcome contributions from the community. Please feel free to fork the repo, create feature branches, and submit pull requests for review.
For queries, discussions, and collaboration, please use the Issues section of this repository.
This project is licensed under the MIT License - see the LICENSE file for details.
Special thanks to the authors and contributors of the muse-lsl, BlueMuse, and pylsl repositories.