Intelligent Human Motion Detection Sensor

Award Information
Agency: Department of Defense
Branch: Army
Contract: W15P7T-11-C-H225
Agency Tracking Number: A102-093-0422
Amount: $69,036.00
Phase: Phase I
Program: SBIR
Awards Year: 2011
Solicitation Year: 2010
Solicitation Topic Code: A10-093
Solicitation Number: 2010.2
Small Business Information
Yotta Navigation Corporation
3365 Mauricia Avenue, Santa Clara, CA, -
DUNS: 808453588
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 William Deninger
 CTO
 (408) 242-7026
 william.deninger@yottanav.com
Business Contact
 Joseph Schlesselman
Title: PM
Phone: (408) 930-5048
Email: joe.schlesselman@yottanav.com
Research Institution
 Stub
Abstract
Yotta Navigation proposes to develop a rugged, secure, compact, real-time human motion detection sensor. This navigation aid device will be suitable for military operations. Yotta Navigation"s approach will provide reliable positioning, attitude (orientation), and altitude (elevation) data at rates of up to 50 Hz, in the total absence of GPS. This device will augment and improve navigation equipment developed under the Future Force Warrior program. Each solider can be equipped with a compact, low-cost device. The primary function of the system is to measure, log, analyze and determine the current location, orientation, mode and posture of the soldier and securely communicate that information. The system will maximize the use of recent advances in commercial-off-the-shelf (COTS) components such as digital signal processors (DSP) and Micro-Electro-Mechanical Systems (MEMS) technologies. Because the proposed SBIR solution can build on the existing Yotta MOUTman platform, a field-testable prototype system is achievable by the end of the Phase I. This Phase I effort will culminate in a high-quality proof-of-concept design, testable prototype, and quantifiable performance results. Yotta Navigation will provide (1) an extensive human motion profile database, (2) profile calculation and error estimation algorithms and (3) prototype devices at the conclusion of this Phase I effort.

* information listed above is at the time of submission.

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