Codes for the paper titled, "Blink: A Fully Automated Unsupervised Algorithm for Eye Blink Detection in EEG Signals"
The dataset and codes are freely available for research use. Please cite the following publication for using the codes and dataset
Mohit Agarwal, Raghupathy Sivakumar
BLINK: A Fully Automated Unsupervised Algorithm for Eye-Blink Detection in EEG Signals
57th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2019.
Dataset can be downloaded from the link
| Dataset | Type | Users | Blinks |
|---|---|---|---|
| EEG-IO | Involuntary | 20 | 500 |
| EEG-VV | Voluntary | 12 | 750 |
| EEG-VR | Voluntary | 12 | 600 |
Put EEG-IO or EEG-VV or EEG-VR dataset in data/ folder, and choose the appropriate options in blink.py
Run blink.py for replicating the results presented in the paper
File Name: S05_data.csv S05_labels.csv
Confusion Matrix:
[[26 0]
[ 0 26]]
Recall, Precision, F1 Score
1.0 1.0 1.0
Email: [email protected]
[1] Blink: A Fully Automated Unsupervised Algorithm for Eye Blink Detection in EEG Signals