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| -rw-r--r-- | docs/index.md | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/docs/index.md b/docs/index.md index 385275a..d179007 100644 --- a/docs/index.md +++ b/docs/index.md @@ -2,11 +2,11 @@ title: What is ArGaze? --- -# Develop post- or real-time gaze processing applications +# Develop post- or real-time gaze analysis applications **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 a Python software library that lets you build **custom-made gaze processing pipelines** for **any kind of eye tracker device,** whether for **post- or real-time data processing**. +**ArGaze** is a Python software library that lets you build **custom-made gaze analysis pipelines** for **any kind of eye tracker device,** whether for **post- or real-time data processing**.  @@ -14,9 +14,9 @@ title: What is ArGaze? **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, ... -* **Area Of Interest (AOI) matching**: focus point inside, deviation circle coverage, ... -* **Scan path analysis**: transition matrix, entropy, explore/exploit ratio, ... +* **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. |