aboutsummaryrefslogtreecommitdiff
path: root/docs/index.md
diff options
context:
space:
mode:
Diffstat (limited to 'docs/index.md')
-rw-r--r--docs/index.md20
1 files changed, 19 insertions, 1 deletions
diff --git a/docs/index.md b/docs/index.md
index 563ed56..7e679e3 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -1 +1,19 @@
-{!README.md!}
+---
+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.*