Working on pilot gaze monitoring use case.

1 files changed, 16 insertions, 13 deletions

diff --git a/docs/use_cases/pilot_gaze_monitoring/introduction.md b/docs/use_cases/pilot_gaze_monitoring/introduction.md
index 0faf4b1..453a443 100644
--- a/docs/use_cases/pilot_gaze_monitoring/introduction.md
+++ b/docs/use_cases/pilot_gaze_monitoring/introduction.md
@@ -1,5 +1,5 @@
-Overview
-========
+Real time head-mounted eye tracking interactions
+================================================
 
 **ArGaze** enabled a cognitive assistant to support a pilot's situation awareness.
 
@@ -9,15 +9,15 @@ The following use case has integrated the [ArUco marker pipeline](../../user_gui
 
 The [HAIKU project](https://haikuproject.eu/) aims to pave the way for human-centric intelligent assistants in the aviation domain by supporting, among others, the pilot during startle or surprise events. 
 One of the features provided by the assistant through **ArGaze** is a situation awareness support that ensures the pilot updates his awareness of the aircraft state by monitoring his gaze and flight parameters. 
-When this support is active, relevant information is highlighted on the Primary Flight Display (PFD).
+When this support is active, relevant information is highlighted on the Primary Flight Display (PFD) and the Electronic Centralized Aircraft Monitor (ECAM).
 
 ![SA alert](../../img/haiku_sa_alert.png)
 
-## Experiment context
+## Environment
 
-Pilot eye tracking data were provided by Tobii Pro Glasses 2, a head-mounted eye tracker. 
-The gaze and scene camera video were captured through the Tobii SDK and processed in real-time on NVIDIA Jetson Xavier. 
-Since the eye tracker model is head-mounted, ArUco markers were placed at various locations within a A320 cockpit simulator to ensure that several of them were constantly visible in the field of view of the eye tracker camera.
+Due to the complexity of the cockpit simulator's geometry, pilot's eyes are tracked with a head-mounted eye tracker (Tobii Pro Glasses 2). 
+The gaze and scene camera video were captured through the Tobii SDK and processed in real-time on an NVIDIA Jetson Xavier computer. 
+ArUco markers were placed at various locations within the cockpit simulator to ensure that several of them were constantly visible in the field of view of the eye tracker camera.
 
 ![SimOne cockpit](../../img/simone_cockpit.png)
 
@@ -28,16 +28,19 @@ To identify the relevant AOIs, a 3D model of the cockpit describing the AOI and
 
 Finally, fixation events were sent in real-time through [Ivy bus middleware](https://gitlab.com/ivybus/ivy-python/) to the situation awareness software in charge of displaying attention getter onto the PFD screen.
 
-## ArGaze setup
+## Setup
 
-The project defines 3 main files to integrate **ArGaze** to the experiment:
+The setup to integrate **ArGaze** to the experiment is defined by 3 main files:
 
-* The context that captures gaze data and scene camera video: [live_streaming_context.json](context.md)
-* The pipeline that processes gaze data and scene camera video: [live_processing_pipeline.json](pipeline.md)
-* The observers that send fixation events to Ivy bus middleware: [observers.py](observers.md)
+* 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)
+* The observers file that send fixation events via Ivy bus middleware: [observers.py](observers.md)
 
-The project is loaded by executing the following command:
+As any **ArGaze** setup, it is loaded by executing the following command:
 
 ```shell
 python -m argaze load live_streaming_context.json
 ```
+
+## Performance
+