TouchDesigner-EEG-BrainFlowCHOP
importedsoftware/touchdesigner-eeg-brainflowchop
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,…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- brainbit · braincomputerinterface · brainflow · eeg · muse2 · muse2touchdesginer · touchdesigner
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- bciBasedWheelchairbraincomputerinterface · eeg
Brain Control Interface based smart wheelchair. Actions include start, turn left, right, stop with your brain and eye blinks
- brainflowbrainflow · eeg
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
- BrainFlowAndroidTestbrainflow · eeg
App for BrainFlow developers to test it on Android
- openbci-brainflow-lslbrainflow · eeg
Use BrainFlow to read data from Open BCI board and send it as Lab Streaming Layer streams
- bci-mcpbrainflow · eeg
Stream live EEG brain state (focus, calm, attention) from any EEG device into Claude and any MCP client — a real Model Context Protocol server + brain-computer interface toolkit.
- EEG-Dataset-Recorderbrainflow · eeg
Python-based EEG data recorder and simulator for generating timestamped CSV datasets for research and machine learning.
- api.github.com/repos/saimgulay/TouchDesigner-EEG-BrainFlowCHOPretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2025-12-12, 10 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/58.json→ .entries["touchdesigner-eeg-brainflowchop"]
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