Triaging is a time sensitive process that involves determining the priority of patients’ treatments by the severity of their condition or likelihood of recovery with and without treatment. To assist with the process of categorization, it is extremely important to first facilitate data understanding and then, visual categorization of the information extracted for faster and efficient transportation.
While the traditional method for mass-casualty incident (MCI) triaging consists of placing a prefabricated label on each patient, our research combined the cutting edge Augmented Reality (AR) technology with the Internet of Things (IoT) using wearables that can easily extract viable information and communicate with Microsoft HoloLens directly with the help of Edge computing. This method not only improve response times for first responders, but also saves bandwidth for faster data processing and visualizations.
Part of the X-Reality Research at Texas State
Director X-Reality Lab: Dr. George Koutitas
Director ALERRT: Dr. Pete Blair
Faculty Researchers: Dr. Scott Smith, Grayson Lawrence, Hunter Martaindale
Student Researchers: Shivesh S Jadon, Chaitanya Vyas, Shashwat Vyas
