Eye Tracking Dataset for Comprehensive Eye Tracking Feature Extraction

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Authors: Smilja Stokanović, Jaka Sodnik, Nadica Miljković
Cited by: 0

Abstract

This repository contains eye tracking signals from the Tobii Pro Glasses 3 eye tracker. The study was conducted in a simulated driving environment using a motion-based driving simulator. The database contains signals from 26 healthy individuals. The task included Baseline, driving under normal conditions (Ride), and driving during fog (Fog). Sampling frequency is 100 Hz and the resolution is 1920 x 1080 pixels. Naming convention for files: ID_gazedata_output. For convenient test download and appropriate preview, we provided all signals in a .rar. Dataset contents Eyetracking-database.rar, data files, text format README.txt, metadata for data files, text format If you find these signals useful for your own research or teaching class, please cite both the relevant paper and dataset as: Stokanović, S., Sodnik, J., and Miljković, N., "From Raw Gaze to Meaningful Features: Assessment of Visual Behavior in Driving Simulator." ArXiv, 2025, https://doi.org/10.48550/arXiv.2511.02689. Stokanović, S., Sodnik, J., and Miljković, N., 2026. Software for Comprehensive Eye Tracking Feature Extraction [Software]. Zenodo, https://doi.org/10.5281/zenodo.18660155, GitHub: https://github.com/smiljastokanovic/Eye-Tracking-Parameters-Calculation, Accessed on: February 26th, 2026. Stokanović, S., Sodnik, J., and Miljković, N., 2026. Eye Tracking Dataset for Comprehensive Eye Tracking Feature Extraction [Dataset]. Zenodo, https://doi.org/10.5281/zenodo.18803236. # Eye-Tracking Parameters Dataset This repository contains **eye-tracking data** collected for gaze analysis. The dataset includes **2D and 3D gaze coordinates**, **eye origins**, **eye directions**, and **pupil sizes** for both the left and right eyes. --- ## Dataset Format The data is stored in **txt files**. Each row corresponds to a timestamped measurement. ### Columns | Column Name | Description | |------------------------|-------------| | `timestamp` | Time of recording (seconds) | | `gaze2d_x`, `gaze2d_y` | 2D gaze coordinates on the screen (normalized units) | | `gaze3d_x`, `gaze3d_y`, `gaze3d_z` | 3D gaze coordinates in space (scene coordinates) | | `eyeleft_origin_x`, `eyeleft_origin_y`, `eyeleft_origin_z` | 3D position of the left eye origin | | `eyeleft_dir_x`, `eyeleft_dir_y`, `eyeleft_dir_z` | 3D gaze direction vector of the left eye | | `pupil_left` | Pupil diameter for the left eye | | `eyeright_origin_x`, `eyeright_origin_y`, `eyeright_origin_z` | 3D position of the right eye origin | | `eyeright_dir_x`, `eyeright_dir_y`, `eyeright_dir_z` | 3D gaze direction vector of the right eye | | `pupil_right` | Pupil diameter for the right eye | --- ## Notes on Data - Some rows at the beginning may contain **`NaN` values** where the eye-tracker did not record valid data. - `NaN` values are common in initial samples or during blinks. - Users should handle missing data appropriately before analysis.

Fields of Study & Subjects

Gaze Tracking and Assistive Technology Human-Automation Interaction and Safety Sleep and Work-Related Fatigue

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 February 2026
Language
EN
Document type
Dataset