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@@ -8,7 +8,7 @@ title: What is ArGaze?
**ArGaze** python toolkit provides a set of classes to build **custom-made gaze processing pipelines** that works with **any kind of eye tracker devices** whether on **live data stream** or for **data post-processing**.
-![AGaze pipeline](img/argaze_pipeline.png)
+![ArGaze pipeline](img/argaze_pipeline.png)
## Gaze analysis pipeline
@@ -22,14 +22,16 @@ Once incoming data formatted as required, all those gaze analysis features can b
[Learn how to build gaze analysis pipelines for various use cases by reading user guide dedicated section](./user_guide/gaze_analysis_pipeline/introduction.md).
-## Augmented reality pipeline
+## Augmented reality based on ArUco markers pipeline
-Things goes harder when gaze data comes from head-mounted eye tracker devices. That's why **ArGaze** enable 3D modeled **Augmented Reality (AR)** environment description including **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>.
+Things goes harder when gaze data comes from head-mounted eye tracker devices. That's why **ArGaze** provides **Augmented Reality (AR)** support to map **Areas Of Interest (AOI)** on <a href="https://docs.opencv.org/4.x/d5/dae/tutorial_aruco_detection.html" target="_blank">OpenCV ArUco markers</a>.
-![AR environment axis](img/ar_environment_axis.png)
+![ArUco pipeline axis](img/aruco_markers_pipeline_axis.png)
-This AR pipeline can be combined with any wearable eye tracking device python library like Tobii or Pupill glasses.
+This ArUco markers pipeline can be combined with any wearable eye tracking device python library like Tobii or Pupill glasses.
+
+[Learn how to build ArUco markers pipelines for various use cases by reading user guide dedicated section](./user_guide/aruco_markers_pipeline/introduction.md).
!!! note
- *AR pipeline 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.*
+ *ArUco markers pipeline 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.*