Irautak/FingerFlex
FingerFlex: a new state of the art model for prediction finger movements from brain activity (ECoG).
FingerFlex helps researchers and engineers working on motor brain-computer interfaces. It takes raw electrocorticography (ECoG) brain activity data and predicts precise finger movements, providing decoded finger trajectories. This is ideal for neuroscientists, biomedical engineers, and BCI developers aiming to create high-precision prosthetics or assistive devices.
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Use this if you need to accurately translate brain activity into continuous finger movement predictions for BCI development.
Not ideal if you are working with non-ECoG brain signals or require decoding of complex, multi-limb movements beyond individual finger trajectories.
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33
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9
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 17, 2024
Commits (30d)
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