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diff --git a/docs/index.md b/docs/index.md index 2d00d16..ca9271a 100644 --- a/docs/index.md +++ b/docs/index.md @@ -7,20 +7,26 @@ title: What is ArGaze? **Useful links**: [Installation](installation.md) | [Source Repository](https://gitpub.recherche.enac.fr/argaze) | [Issue Tracker](https://git.recherche.enac.fr/projects/argaze/issues) | [Contact](mailto:argaze-contact@recherche.enac.fr) **ArGaze** is an open and flexible Python software library designed to provide a unified and modular approach to gaze analysis or gaze interaction. -**ArGaze** facilitates **real-time and/or post-processing analysis** for both **screen-based and head-mounted** eye tracking systems. + By offering a wide array of gaze metrics and supporting easy extension to incorporate additional metrics, **ArGaze** empowers researchers and practitioners to explore novel analytical approaches efficiently.  +## Eye tracking context + +**ArGaze** facilitates the integration of both **screen-based and head-mounted** eye tracking systems for **live data capture and afterward data playback**. + +[Learn how to handle various eye tracking context by reading the dedicated user guide section](./user_guide/eye_tracking_context/introduction.md). + ## Gaze analysis pipeline -**ArGaze** provides an extensible modules library, allowing to select application-specific algorithms at each pipeline step: +Once incoming eye tracking data available, **ArGaze** provides an extensible modules library, allowing to select application-specific algorithms at each pipeline step: * **Fixation/Saccade identification**: dispersion threshold identification, velocity threshold identification, etc. * **Area Of Interest (AOI) matching**: focus point inside, deviation circle coverage, etc. * **Scan path analysis**: transition matrix, entropy, explore/exploit ratio, etc. -Once the incoming data is formatted as required, all those gaze analysis features can be used with any screen-based eye tracker devices. +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 the dedicated user guide section](./user_guide/gaze_analysis_pipeline/introduction.md). @@ -37,3 +43,9 @@ This ArUco marker pipeline can be combined with any wearable eye tracking device !!! note *ArUco marker 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.* + +## Demonstration + + + +[Test **ArGaze** by reading the dedicated user guide section](./user_guide/utils/demonstrations_scripts.md).
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