From a4d35335db238955baac2723eba9edece805b83a Mon Sep 17 00:00:00 2001
From: Théo de la Hogue
Date: Mon, 8 Jul 2024 09:50:13 +0200
Subject: Improving pilot monitoring use case.

---
 docs/use_cases/pilot_gaze_monitoring/introduction.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

(limited to 'docs/use_cases/pilot_gaze_monitoring/introduction.md')

diff --git a/docs/use_cases/pilot_gaze_monitoring/introduction.md b/docs/use_cases/pilot_gaze_monitoring/introduction.md
index 453a443..f5de773 100644
--- a/docs/use_cases/pilot_gaze_monitoring/introduction.md
+++ b/docs/use_cases/pilot_gaze_monitoring/introduction.md
@@ -30,7 +30,7 @@ Finally, fixation events were sent in real-time through [Ivy bus middleware](htt
 
 ## Setup
 
-The setup to integrate **ArGaze** to the experiment is defined by 3 main files:
+The setup to integrate **ArGaze** to the experiment is defined by 3 main files detailled in the next chapters:
 
 * The context file that captures gaze data and scene camera video: [live_streaming_context.json](context.md)
 * The pipeline file that processes gaze data and scene camera video: [live_processing_pipeline.json](pipeline.md)
@@ -42,5 +42,6 @@ As any **ArGaze** setup, it is loaded by executing the following command:
 python -m argaze load live_streaming_context.json
 ```
 
-## Performance
+This command opens a GUI window that allows to start gaze calibration, to launch recording and to monitor gaze mapping.
 
+![ArGaze load GUI for Haiku](../../img/argaze_load_gui_haiku.png)
-- 
cgit v1.1