DOI: 10.5281/zenodo.18803236
title: Eye Tracking Dataset for Comprehensive Eye Tracking Feature Extraction

description: 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.18660836, 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.
description: Funding

Nadica Miljković kindly acknowledges the support from the Grant No. 451-03-137/2025-03/2001 funded by the Ministry of Science, Technological Development, and Innovation of the Republic of Serbia.  This work has been financially supported also by the European Union’s Horizon Europe research and innovation program for the project FRODDO, grant agreement no. 101147819 and by the Slovenian Research and Innovation Agency within the program ICT4QL, grant no. P2-0246.