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 publications 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]

Charge for a whole day: Extending Battery Life for BCI Wearables using a Lightweight Wake-Up Command,
Mohit Agarwal and Raghupathy Sivakumar,
CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing System, 2020 [PDF]

Blink to Get In: Biometric Authentication for Mobile Devices using EEG Signals,
Ekansh Gupta, Mohit Agarwal, and Raghupathy Sivakumar,
ICC 2020 - 2020 IEEE International Conference on Communications , 2020 [PDF]

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Mohit Agarwal

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