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Muse-MotorImageryClassification

imported

software/muse-motorimageryclassification

Record EEG data from a Muse 2 headband using the MInd Monitor app and python osc module. Build and train a CNN model in Keras framework to classify Left-Right Motor Imagery. Make real-time…

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
brain-computer-interface · eeg-classification · motor-imagery-classification · muse-eeg
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    EEG Classification API using Flask

  • bcibrain-computer-interface · eeg-classification

    Framework for P300 wave detection and noise-based cyberattacks in Brain-Computer Interfaces - Enrique Tomás Martínez Beltrán

  • Brain-Computer-Interface-with-Neuroskybrain-computer-interface · eeg-classification

    Brain Computer Interface (BCI) with Neurosky Mindwave Mobile 2 that enables anyone to use computer, mobilephone etc. with his/her thoughts.

  • Brain-Computer-Interface-with-Neuroskybrain-computer-interface · eeg-classification

    Brain Computer Interface (BCI) with Neurosky Mindwave Mobile 2 that enables anyone to use computer, mobilephone etc. with his/her thoughts.

  • CTNetbrain-computer-interface · eeg-classification

    CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification

sources
  1. api.github.com/repos/vinayakr99/Muse-MotorImageryClassification
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-03-02, 16 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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/v1/entries/41.json→ .entries["muse-motorimageryclassification"]

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