Email:
Edgar Rojas Muñoz
Early career Faculty working in Mixed
Reality and Human-Computer Interaction
"Deja que tus sueños tejan tu futuro" - Elisa Sinclair
I am an early career Faculty exploring the uses of Mixed Reality for the Social Good. My interests include Mixed Reality for healthcare, cultural preservation and accessible workplaces, and education.
​
As a PhD student, I worked on Human-Computer Interaction under the supervision of Dr. Juan Wachs. As a member of the Intelligent Systems and Assistive Technologies Laboratory (ISAT Lab), I developed theories and technology to aid people, primarily in the healthcare domain. I received my Licenciatura (Lic.) degree in Computer Engineering at Instituto Tecnológico de Costa Rica.
I have a passion for Human-Computer Interaction (HCI) and Assistive Technologies, especially within the Mixed Reality (XR) field. However, the rate at which XR has been adopted by the general public should be increased. I am interested in taking XR from research labs to the world. I want to dedicate my research efforts for more people realize the potential that XR has to assist them in their daily life. Specifically, I will pursue three main research trusts: XR for healthcare, XR for accessible workplaces and education, and XR for cultural awareness.
RECENT ARTICLES
Evaluation of an augmented reality platform for austere surgical telementoring: a randomized controlled crossover study in cricothyroidotomies
​
This manuscript introduces a self-contained and portable version of our austere surgical telementoring platform. 20 US Navy corpsmen performed a practice cricothyroidotomy under two telementoring conditions: our STAR system and audio-only. The experiment was performed in an austere indoor environment that included loud background sounds, and smoke simulating low visibility due to explosions.
The AI-Medic: An Artificial Intelligent Mentor for Trauma Surgery
​
This paper summarizes the most recent progress in the development of an Artificial Intelligence platform for autonomous medical mentoring. The platform leverages a deep captioning neural network and a dataset of medical images and captions to predict medical instructions from the current view of a surgery. The paper reports objective and subjective evaluations that indicate that the AI-Medic is a promising first step towards autonomous medical mentoring.
RECENT & UPCOMING EVENTS
Special Session Organizing,
FG2020 Virtual Conference
Nov/17/2020
Outstanding Paper Award, AE-CAI Workshop
Oct/04/2020
We held a virtual special session as part of IEEE 15th International Conference on Automatic Face and Gesture Recognition. The title of this special session was “Challenges in Modeling and Representation of Gestures in Human Interactions", and it focused on fundamental challenges related to modelling and representation of gestures. Specifically, in the challenges associated with the gestures’ morphology, semantics, affective properties, motor characteristics, cognitive aspects, among others.
Our paper describing the AI-Medic platform got selected for the Outstanding Paper Award in the Augmented Environments for Computer Assisted Interventions workshop, part of the International Conference on Medical Image Computing and Computer Assisted Intervention. The paper describes our AI-based system that provides medical assistance while operating. Thanks to all our collaborators!
