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Automated Visual Anthropometry for Three-Dimensional Assessment of Respirators (AVATAR)

Award Information
Agency: Department of Defense
Branch: Office for Chemical and Biological Defense
Contract: W911SR-16-C-0030
Agency Tracking Number: C161-005-0032
Amount: $149,923.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: CBD161-005
Solicitation Number: 2016.1
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-07-18
Award End Date (Contract End Date): 2017-01-18
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Mr. Camille Monnier
 (617) 753-3382
Business Contact
 Mark Felix
Phone: (617) 491-3474
Research Institution

Military respirator masks provide the Warfighter with life critical protection against chemical, biological, radiological, and nuclear (CBRN) threats. To ensure the safety, comfort, and effectiveness of the American Warfighter, it is essential that every Warfighter be assigned a respirator that is properly sized and fitted. However, current methods for sizing and fitting respirators depend on manual, partially subjective processes, and no single tool enables end-to-end automatic quantitative assessment and comparison of protective fit.We propose a software system enabling Automated Visual Anthropometry for Three-dimensional Assessment of Respirators (AVATAR). The AVATAR system consists of advanced 3D reconstruction and respirator fit assessment software, requiring only a smartphone with an integrated camera. The software processes 2D video of the users face, taken at arms length from multiple viewpoints, and estimates the users 3D facial shape parameters to produce a robust quantitative prediction of respirator fit. AVATAR directly supports the Warfighter by enabling untrained personnel to self-administer respirator sizing and fitting procedures through the automatic extraction and analysis of useful anthropometric data.

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

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