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author | Théo de la Hogue | 2023-11-07 15:54:45 +0100 |
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committer | Théo de la Hogue | 2023-11-07 15:54:45 +0100 |
commit | 78ce6ffc892ef7d64a8d1da0dbdfcbf34d214bbd (patch) | |
tree | 4509c14aa1800d2666c50c47549a044e5a6c11d0 /docs/index.md | |
parent | bc9257268bb54ea68f777cbb853dc6498274dd99 (diff) | |
parent | f8b1a36c9e486ef19f62159475b9bf19a5b90a03 (diff) | |
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Merge branch 'master' of ssh://git.recherche.enac.fr/interne-ihm-aero/eye-tracking/argaze
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diff --git a/docs/index.md b/docs/index.md index 2306490..00e2e29 100644 --- a/docs/index.md +++ b/docs/index.md @@ -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) |