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@@ -18,13 +18,13 @@ First of all, **ArGaze** provides extensible modules library allowing to select
* **Area Of Interest (AOI) matching**: focus point inside, deviation circle coverage, ...
* **Scan path analysis**: transition matrix, entropy, exploit/explore ratio, ...
-Once incoming data formatted as required, all those gaze analysis features can be used with any screen-based eye tracker devices.
+Once incoming data are formatted as required, all those gaze analysis features can be used with any screen-based eye tracker devices.
[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 based on ArUco markers pipeline
-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>.
+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 [OpenCV ArUco markers](https://www.sciencedirect.com/science/article/abs/pii/S0031320314000235).
![ArUco pipeline axis](img/aruco_pipeline_axis.png)