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Educational Medical Simulation and Training Augmented-Reality Tool

Award Information
Agency: Department of Defense
Branch: Defense Health Agency
Contract: W81XWH-17-C-0078
Agency Tracking Number: H163-002-0014
Amount: $150,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: DHP163-002
Solicitation Number: 2016.3
Timeline
Solicitation Year: 2016
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-04-26
Award End Date (Contract End Date): 2017-11-25
Small Business Information
1845 West 205th Street
Torrance, CA 90501
United States
DUNS: 153865951
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jason Holmstedt
 (310) 320-3088
 EOSProposals@poc.com
Business Contact
 Gordon Drew
Phone: (310) 320-3088
Email: gedrew@poc.com
Research Institution
N/A
Abstract

To address the DHP and USAMRMC need for a system to augment a dynamic 3D scene registration using augmented reality (AR) to provide anatomically accurate registration and overlays to aid in medical training, Physical Optics Corporation (POC) proposes to develop a new Educational Medical Simulation and Training Augmented-Reality (EMSTAR) tool. The tool is based on the unique combination of low-cost stick-on quick-response (QR) codes with joint color gradient features that when imaged by the mobile devices built-in camera provides accurate and dynamic registration of the standardized patients or mannequins and rendering anatomical overlays. Specifically, the innovative enhanced QR code fiducials and unique predictive algorithms with AR overlays will enable the mobile device running the EMSTAR tool to accurately provide dynamic overlays on the standardized patient or mannequin with high accuracy and occlusion resistance and to render AR content using multi-platform industry standard graphics engines. In Phase I, POC will develop a proof-of-concept demonstration tool that justifies the accuracy and sensitivity of the tool, reaching TRL-4. In Phase II, POC plans to improve EMSTAR by applying it over broader areas using fully dynamic models to support orientation and joint movement, as well as complete a user-group usefulness survey, reaching TRL-6.

* Information listed above is at the time of submission. *

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