Human-in-the-Loop Visualization and Emergency Remediation Using Augmented Reality and Sensors

Abstract

The research summarized in this paper develops a new human-in-the-loop visualization and emergency remediation that enables emergency care providers to observe real-time measurements of the patience condition, with applications for health providers training at the school, emergency responders, and also potentially transforming the emergency responses. The main aspect of the proposed work focuses on the sharing of data for emergency responders to accelerate their understanding of the conduction around them. The new architecture transforms the observation and intervention of health care providers with access to sensor, data, and visualization without distraction from the patience, which visually informs the remediation in the event of emergencies. The new architecture enables for the first time new medical knowledge about the patient-symptom-data in a new bidirectional intervention that can accelerate identification of the emergency and a more accurate caring solution that can save lives in emergencies. The paper summarizes the design of a new application for trachea monitoring and chocking remediation, with specific attention to respiratory flow, as the data of respiration will be connected to a finite element model of the trachea of the patience, as well as better respiratory understanding with this interface.