From c4552e04e1271a9210a934233beae5be1943d034 Mon Sep 17 00:00:00 2001 From: Théo de la Hogue Date: Wed, 7 Jun 2023 14:34:14 +0200 Subject: Writing User guide and use cases section. --- README.md | 18 ++---------------- 1 file changed, 2 insertions(+), 16 deletions(-) (limited to 'README.md') diff --git a/README.md b/README.md index 31a5b63..f33dd18 100644 --- a/README.md +++ b/README.md @@ -1,17 +1,3 @@ -# ArGaze documentation +# Welcome into ArGaze package -**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 OpenCV ArUco markers 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.* +Please visit [ArGaze documentation website](http://achil.recherche.enac.fr/features/eye/argaze/index.html) to get started. \ No newline at end of file -- cgit v1.1