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diff --git a/docs/index.md b/docs/index.md index c351421..7565c5e 100644 --- a/docs/index.md +++ b/docs/index.md @@ -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**. - + ## 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>. - + -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.* |