A number of EOG datasets are being made publicly available. Queries related to these datasets may be forwarded to nathaniel.barbara@um.edu.mt.
Dataset Overview:
This dataset contains the horizontal and vertical bipolar EOG channel data recorded for trials each containing two saccades and a blink. In each trial, the subject was instructed to perform: (i) a saccade originating from the centre of the screen towards an indicated random position on the screen, (ii) a return saccade from the latter random position back towards the centre of the screen, and (iii) a blink. The data was recorded while the subjects rested their head on a chin-and-forehead rest. More information is available in the ‘Data Description’ file made available within the downloadable zip file.
The dataset may be accessed from this link: DATASET [Zip]
Citation:
If you are using this data, please cite the following research paper:
N. Barbara, T. A. Camilleri, and K. P. Camilleri, “A comparison of EOG baseline drift mitigation techniques,” Biomedical Signal Processing and Control, vol. 57, Mar. 2020. doi: https://doi.org/10.1016/j.
Dataset Overview:
This dataset contains the monopolar EOG channel data recorded for trials each containing two saccades and a blink. In each trial, the subject was instructed to perform: (i) a saccade towards an indicated random position on the screen, (ii) a second saccade towards a different indicated random position on the screen, and (iii) a blink. The data was recorded while the subjects rested their head on a chin-and-forehead rest. More information is available in the ‘Data Description’ file made available within the downloadable zip file.
The dataset may be accessed from this link: DATASET_STATIONARY [Zip]
Citation:
If you are using this data, please cite the following research paper:
N. Barbara, T. A. Camilleri, and K. P. Camilleri, “Real-Time Continuous EOG-based Gaze Angle Estimation with Baseline Drift Compensation Under Stationary Head Conditions,” Biomedical Signal Processing and Control, vol. 86, Sep. 2023. doi: https://doi.org/10.1016/
Dataset Overview:
This dataset contains the head pose and position data and monopolar EOG channel data recorded for trials each containing two saccades and a blink. In each trial, the subject was instructed to perform: (i) a saccade towards an indicated random position on the screen, (ii) a second saccade towards a different indicated random position on the screen, and (iii) a blink. The subjects were allowed to perform any natural head movements as necessary while attending to the targets. More information is available in the ‘Data Description’ file made available within the downloadable zip file.
The dataset may be accessed from this link: Dataset_NonStationary.zip [Zip]
Citation:
If you are using this data, please cite the following research paper:
N. Barbara, T. A. Camilleri, and K. P. Camilleri, “Real-Time Continuous EOG-based Gaze Angle Estimation with Baseline Drift Compensation Under Non-Stationary Head Conditions,” Biomedical Signal Processing and Control, vol. 90, Apr. 2024. doi: https://doi.org/10.1016/
Dataset Overview:
This dataset contains monopolar EOG data recorded for trials, each containing two saccades and a blink. In each trial, the subject was instructed to perform: (i) a saccade from the centre of the screen towards an indicated target position on the screen, (ii) a return saccade back towards the centre, and (iii) a blink. The target positions were chosen so that the saccades were carried out in isotropic directions and were of the same displacement. More information is available in the ‘Data Description’ file made available within the downloadable zip file.
The dataset may be accessed from this link: Dataset_Isotropic.zip
Citation:
If you are using this data, please cite the following research paper:
N. Barbara, T. A. Camilleri, and K. P. Camilleri, “A Systematic Quantitative Analysis on Bipolar Channel Selection for EOG-Based Gaze Displacement Estimation,” Biomedical Signal Processing and Control.
