Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and learning using Sklearn tool.
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Updated
Nov 23, 2020 - Python
Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and learning using Sklearn tool.
Muse 2 EEG analysis with PyTorch + CNNs.
A Multi-Brand TouchDesigner Script CHOP for real-time EEG signal processing using Python BrainFlow package. Compatible with 15 brands and more then 33 different models. Includes Kalman filter, FFT, resampling, and OSC output. Tested with BrainBit.
EEG streaming web service (UDP) using spring boot. Device used to measures is Muse 2 (2016).
The README has way more actually important stuff, pretty cool project, kinda like Cyberpunk 2077, Star Wars, or Titanfall 2, basically we're trying to advance bci development through applications of ML and AI to interface between human input and computer understanding/output
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