Dataset Information and codes

  • EEG-IO:Voluntary single eye-blinks (external stimulation was provided) and EEG was recorded for frontal electrodes (Fp1, Fp2) for 20 subjects using OpenBCI Device and BIOPAC Cap100C. One session was conducted including around 25 blinks per subject. Manual annotation was done using video feed.
  • EEG-VV, EEG-VR:Involuntary eye-blinks (natural blinks) and EEG was recorded for frontal electrodes (Fp1, Fp2) for 12 subjects using OpenBCI Device and BIOPAC Cap100C. Subjects performed two activities - watching a video (EEG-VV) and reading an article (EEG-VR). Manual annotation was done using video feed.
[Paper] [Codes]

Citation

The dataset and codes are freely available for research use. Please cite the following publication for using the codes and dataset

Blink: A Fully Automated Unsupervised Algorithm for Eye-Blink Detection in EEG Signals,
Mohit Agarwal and Raghupathy Sivakumar,
57th Annual Allerton Conference on Communication, Control, and Computing, 2019 [PDF]


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Mohit Agarwal

PhD Candidate
School of Electrical and Computer Engineering
Georgia Tech
Email: me.agmohit@gmail.com