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Wireless IMU Sensing for Activity Control of Ankle Prosthesis

Award Information
Agency: Department of Defense
Branch: Defense Health Agency
Contract: W81XWH-17-C-0168
Agency Tracking Number: H17A-005-0031
Amount: $150,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: DHA17A-005
Solicitation Number: 2017.0
Solicitation Year: 2017
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-08-01
Award End Date (Contract End Date): 2018-02-28
Small Business Information
2414 W. 12th St
Tempe, AZ 85281
United States
DUNS: 808441963
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jeffrey Ward
 Vice President, Research and Development
 (480) 704-3592
Business Contact
 Matthew Holgate
Phone: (480) 704-3592
Research Institution
 Arizona State University
 Matt Holgate
660 S. Mill Ave STE 312
Tempe, AZ 85281
United States

 (480) 704-3592
 Nonprofit College or University

This proposal aims to develop a wireless IMU (WIMU) activity recognition system for SpringActive`s powered ankle prosthesis, Odyssey. Robust activity detection via WIMU will revolutionize the state-of-the-art in powered, lower limb prosthetics by integrating (i) bio-inspired intelligence with (ii) biomimetic mechanics into a highly-maneuverable, smart, ankle-foot prosthesis system. Odyssey is the ideal powered ankle platform for this development due to its large range of controllable dorsiflexion and plantarflexion, smooth and natural energy store and release strategy, and its continuous low level control structure which already seamlessly modulates its output based on user gait speed. Merging the low-level controller with a high-level activity recognition system based on WIMUs will provide the maximum benefit to the amputee user by optimizing Odyssey`s capabilities in varied terrain, e.g. steep slopes, and stairs. This Phase 1 project will lead to the development of a small, low power, wearable wireless IMU system capable of sending accurate and precise physiological data from body limb segments to a laptop or PC as a proof of concept. A model based on IMU data from the thigh, shank, and foot will determine the user`s activity, laying the foundation for system refinements and human subject validations in phase 2.

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

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