BLINK
Codes for the paper titled, "Blink: A Fully Automated Unsupervised Algorithm for Eye Blink Detection in EEG Signals"
Citation
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
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 |
Codes
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
Sample Output
File Name: S05_data.csv S05_labels.csv
Confusion Matrix:
[[26 0]
[ 0 26]]
Recall, Precision, F1 Score
1.0 1.0 1.0
Contact
Email: me.agmohit@gmail.com
References
[1] Blink: A Fully Automated Unsupervised Algorithm for Eye Blink Detection in EEG Signals