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A Wearable Multi-Sensor Navigation Device for the Visually Impaired

Award Information

Agency:
Department of Health and Human Services
Branch:
N/A
Award ID:
80544
Program Year/Program:
2006 / STTR
Agency Tracking Number:
EY017516
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
CASTLEROCK ENGINEERING
1252 CEDAR HEIGHTS LOGAN, UT 84341 3067
View profile »
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: Yes
 
Phase 1
Fiscal Year: 2006
Title: A Wearable Multi-Sensor Navigation Device for the Visually Impaired
Agency: HHS
Contract: 1R41EY017516-01A1
Award Amount: $126,120.00
 

Abstract:

DESCRIPTION (provided by applicant): The long-term objective of this application is to develop a wearable multi-sensor way finding device for the visually impaired that can function reliably both indoors and outdoors. The Phase I specific aims are to: 1) assemble and test a hardware platform that consists of a pocket-size computer and four sensors: a wireless signal receiver inside a wearable computer, a pedometer, a GPS receiver, and a digital compass; 2) implement and test sensor fusion algorithms that fuse data from the four sensors both indoors and outdoors; and 3) develop an unobtrusive mechanical package that will enable the wear ability, durability, and extended use. The project is relevant to the NIH mission, because its long-term objective addresses a fundamental need of the target population: the ability to navigate dynamic and complex indoor and outdoor environments with comfort and ease. In particular, the project will give a new way finding technology to visually impaired and blind students that will improve their access to university and college campuses. The Phase I R&D will include three major steps: 1) To design and develop a wearable way finding hardware platform that consists of a single board computer and four sensors; 2) To implement and a Markov Localization sensor fusion framework for indoors and outdoors; 3) To develop a detailed mechanical design based upon the hardware platform that will enable device wear ability, durability, and extended use. The methods will consist of iterative hardware design, sensory data collection, testing of sensor fusion algorithms with respect to localization accuracy, and 3D computer aided design (CAD). This research is relevant to public health, because the proposed way finding technology will enable visually impaired navigators to safely navigate unfamiliar environments and avoid accidents caused by lack of vision.

Principal Investigator:

Vladimir A. Kulyukin
vladimir.kulyukin@usu.edu

Business Contact:

Angela Minichiello
4357576294
aminichiello@castlerockengineering.com
Small Business Information at Submission:

CASTLEROCK ENGINEERING, INC.
CASTLEROCK ENGINEERING, INC. 1252 CEDAR HEIGHTS LOGAN, UT 84341

EIN/Tax ID: 201930546
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
UTAH STATE UNIVERSITY
UTAH STATE UNIVERSITY
SPONSORED PROGRAMS OFFICE
LOGAN, UT 84322
RI Type: Nonprofit college or university