docs/index.md


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---
title: What is ArGaze?
---

# Enable gaze tracking in AR environment

**Useful links**: [Installation](installation) | [Source Repository](https://git.recherche.enac.fr/projects/argaze/repository) | [Issue Tracker](https://git.recherche.enac.fr/projects/argaze/issues) | [Contact](mailto:achil-contact@recherche.enac.fr)

**ArGaze** python toolkit provides solutions to build 3D modeled **Augmented Reality (AR)** environment defining **Areas Of Interest (AOI)** mapped on <a href="https://docs.opencv.org/4.x/d5/dae/tutorial_aruco_detection.html" target="_blank">OpenCV ArUco markers</a> and so ease experimentation design with wearable eye tracker device.

Further, tracked gaze can be projected onto AR environment for live or post **gaze analysis** thanks to **timestamped data** features.

![AR environment axis](img/ar_environment_axis.png)

ArGaze can be combined with any wearable eye tracking device python library like Tobii or Pupil glasses.

!!! note
   
      *This work is greatly inspired by [Andrew T. Duchowski, Vsevolod Peysakhovich and Krzysztof Krejtz article](https://git.recherche.enac.fr/attachments/download/1990/Using_Pose_Estimation_to_Map_Gaze_to_Detected_Fidu.pdf) about using pose estimation to map gaze to detected fiducial markers.*