diff options
Diffstat (limited to 'docs/use_cases/pilot_gaze_monitoring/introduction.md')
| -rw-r--r-- | docs/use_cases/pilot_gaze_monitoring/introduction.md | 46 |
1 files changed, 0 insertions, 46 deletions
diff --git a/docs/use_cases/pilot_gaze_monitoring/introduction.md b/docs/use_cases/pilot_gaze_monitoring/introduction.md deleted file mode 100644 index 453a443..0000000 --- a/docs/use_cases/pilot_gaze_monitoring/introduction.md +++ /dev/null @@ -1,46 +0,0 @@ -Real time head-mounted eye tracking interactions -================================================ - -**ArGaze** enabled a cognitive assistant to support a pilot's situation awareness. - -The following use case has integrated the [ArUco marker pipeline](../../user_guide/aruco_marker_pipeline/introduction.md) to map pilot gaze onto many cockpit instruments in real-time and then enable AOI fixation matching with the [gaze analysis pipeline](../../user_guide/gaze_analysis_pipeline/introduction.md). - -## Background - -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) and the Electronic Centralized Aircraft Monitor (ECAM). - - - -## Environment - -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. - - - -The [ArUco marker pipeline](../../user_guide/aruco_marker_pipeline/introduction.md) has enabled real-time gaze mapping onto multiple screens and panels around pilot-in-command position while [gaze analysis pipeline](../../user_guide/gaze_analysis_pipeline/introduction.md) was identifying fixations and matching them with dynamic AOIs related to each instruments. -To identify the relevant AOIs, a 3D model of the cockpit describing the AOI and the position of the markers has been realized. - - - -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. - -## Setup - -The setup to integrate **ArGaze** to the experiment is defined by 3 main files: - -* 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) - -As any **ArGaze** setup, it is loaded by executing the following command: - -```shell -python -m argaze load live_streaming_context.json -``` - -## Performance - |