Neetx/EEG-Person-Identification
Biometic Systems project, based on "EEG-based user identification system using 1D-convolutional long short-term memory neural networks"
This project helps researchers and practitioners in biometrics verify a person's identity using their unique brainwave patterns. It takes raw EEG data from the Physionet Motor Movement/Imagery dataset and processes it to identify individuals, outputting an identification accuracy score. It is intended for those working with biometric identification or brain-computer interfaces.
No commits in the last 6 months.
Use this if you need to reliably identify individuals based on their EEG recordings, specifically using the Physionet Motor Movement/Imagery dataset.
Not ideal if you need a complete CLDNN (CNN + LSTM) implementation or want to use a different EEG dataset without code modifications.
Stars
11
Forks
1
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Nov 23, 2021
Commits (30d)
0
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