# ArGaze documentation

**Useful links**: [Installation](getting_started#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)

![Logo](logo-large.png){ width=640px }

**ArGaze** is a python toolkit to deal with gaze tracking in **Augmented Reality (AR) environment**.

The ArGaze toolkit provides solutions to build 3D modeled 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. 

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/1942/Using_Pose_Estimation_to_Map_Gaze_to_Detected_Fidu.pdf) about using pose estimation to map gaze to detected fiducial markers.*