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AugmentedBCIFramework

imported

software/augmentedbciframework

The UniPA BCI Framework is an Augmented Brain-Computer Interface framework based on the P300 paradigm with further additional modules to perform the acquisition of eye gaze and physiological features.

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

AugmentedBCIFramework project image
GitHub preview card for slabua/AugmentedBCIFramework. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
bci · brain-computer-interface · eeg · eeg-signals · framework · hci · hmi · human-computer-interaction
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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    Create real-time BCI's with the LSL, PyTorch, SKLearn and TensorFlow packages.

  • AugmentBrainbci · eeg · hci

    In AugmentBrain we investigate the performance of different data augmentation methods for the classification of Motor Imagery (MI) data using a Convolutional Neural Network tailored for EEG named…

  • Wheelchair-controlled-by-Brain-Signalbrain-computer-interface · eeg · eeg-signals · human-computer-interaction

    wheelchair helps disabled people to move using EEG signals from brain

  • Altiumeegbci · brain-computer-interface · eeg · human-computer-interaction

    Open-hardware 32-channel EEG/BCI acquisition board — quad TI ADS1299 AFE + ARM Cortex-M3 (ATSAM3U4EA-AU), Altium source, 2015. ARM sibling to Adam-EEG.

  • NeuralFlightbci · brain-computer-interface · eeg-signals

    Neural control framework for drones using motor imagery EEG classification. Achieves 73% cross-subject accuracy with PyTorch and enables hands-free drone control through imagined hand/feet movements.

  • SSVEP-BCI-Researchbci · brain-computer-interface · eeg-signals

    High School SSVEP-BCI Research Project to improve classification accuracy of captured EEG signals

sources
  1. api.github.com/repos/slabua/AugmentedBCIFramework
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2019-04-12, 10 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/3.json→ .entries["augmentedbciframework"]

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