Augmented Reality Body Image (ARBI) - Credits

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Identifier 038_GAPP2017_credits_ARBI.pdf
Title Augmented Reality Body Image (ARBI) - Credits
Creator Greg Bayles; Spencer Nelson; Chloe Zeng; Yash Bangera; Samrat Nagarjuna; Siddartha Vangala; Roger Altizer; Julia Franklin
Subject Body Dysmorphia
Description This application gives users the opportunity to compare and adjust a virtual avatar with an actual image of themselves through AR technology. Using real patient data from the EMR, this application presents an avatar of the patient, assuming proportions in relation to the data that is fetched. The user/patient then adjusts the avatar to more accurately represent themselves, while comparing the avatar to a photograph or other real-life representation. The goal of the application is to help those who struggle with body dysmorphia have a more healthy and realistic vision of their body image. Features: Fetching patient data (height and weight) from MyChart; Rough avatar representation generated by application; Customization features for avatar; Comparison scene; User compares avatar to a photograph of themselves in real space; Hand-gesture controls/input: pointing, grabbing, dragging through HoloLens technology.
Relation is Part of Spring 2017 GApp Lab Wrap Kits
Publisher Spencer S. Eccles Health Sciences Library, University of Utah
Date Digital 2017
Date 2017
Format application/pdf
Rights Management Copyright 2017. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright
Language eng
ARK ark:/87278/s6wq4m51
Setname ehsl_gapp
Date Created 2019-06-12
Date Modified 2019-06-12
ID 1427713
Reference URL https://collections.lib.utah.edu/ark:/87278/s6wq4m51