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Data Driven Intent Recognition Framework

Award Information
Agency: Department of Defense
Branch: Special Operations Command
Contract: H92222-16-C-0111
Agency Tracking Number: S2-0302
Amount: $1,492,399.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: NSF13-599
Solicitation Number: 2013.0
Solicitation Year: 2013
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-09-01
Award End Date (Contract End Date): 2018-03-01
Small Business Information
3101 20th St
San Francisco, CA 94110
United States
DUNS: 830681800
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Tim Swift
 (559) 917-9891
Business Contact
 Tim Swift
Phone: (559) 917-9891
Research Institution
 Rehabilitation Institute of Chicago
 Jim McBride
345 E. Superior Street
Chicago, CA 60611
United States

 (415) 225-3618
 Nonprofit College or University

A critical aspect of exoskeleton control that has to date introduced a performance limitation is the ability of the exoskeleton to recognize the intent of the operator so it can apply assistance to their desired motion. This intent recognition effort is typically solved using ad-hoc methods where subject matter experts make design decisions and tune transitions to identify intended maneuvers as reliably, quickly and robustly as possible. This approach however, is limited by the capacity of the expert designers and is not readily optimized, extended, or validated. With this effort, we will build a salable intent recognition framework that allows for reliable development of intent recognition algorithms using data driven techniques to allow for quantitative design decisions and performance optimization that can scale across almost any hardware system.

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

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