Duke-I3T-Lab/AR_CPR_SA

The official code repository for the ISMAR 2025 paper "Will You Be Aware? Eye Tracking-Based Modeling of Situational Awareness in Augmented Reality"

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Experimental

This project helps medical trainers and researchers understand how well people maintain situational awareness during augmented reality (AR) guided cardiopulmonary resuscitation (CPR). By analyzing eye-tracking data from AR devices like Magic Leap 2, it can predict if a user has good or poor awareness when unexpected incidents occur, such as a patient bleeding or vomiting. This is useful for evaluating and improving AR training systems for emergency medical procedures.

Use this if you are a researcher or medical educator studying human performance and situational awareness in AR-guided medical training scenarios, particularly for CPR.

Not ideal if you need a plug-and-play solution for real-time patient monitoring or a general AR development kit, as it is focused on research modeling of awareness during training.

medical-training augmented-reality situational-awareness eye-tracking-analysis emergency-medicine
No Package No Dependents
Maintenance 6 / 25
Adoption 5 / 25
Maturity 15 / 25
Community 0 / 25

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Stars

9

Forks

Language

Python

License

MIT

Last pushed

Nov 10, 2025

Commits (30d)

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