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Ontologies for Human Modeling (OHM)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-20-C-0602
Agency Tracking Number: N201-009-0290
Amount: $140,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N201-009
Solicitation Number: 20.1
Solicitation Year: 2020
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-06-02
Award End Date (Contract End Date): 2020-11-23
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138-4555
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Steve Hookway
 (617) 491-3474
Business Contact
 Erica Hartnett
Phone: (617) 491-3474
Research Institution

Researchers across the DoD rely on digital human models (DHMs) to study a wide range of problems, such as improving the survivability of vehicle crashes by improving the ergonomics of cockpit seating arrangements; optimizing the position, shape, and composition of body armor; or understanding the cognitive load placed on soldiers during combat. Unfortunately, these DHMs are built for highly specialized applications with little forethought into making their output consumable by other models. To address this issue, Charles River Analytics proposes a framework using Ontologies for Human Modeling (OHM), which enables information exchange between DHMs, yielding a more complete model of the digital human. The OHM framework includes a design for data wrappers that provides a shareable format for information exchange and metadata that enables that information to be used effectively by other models, including existing DHMs.

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

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