Date of Award

December 2015

Degree Type

Thesis

Degree Name

Master of Science

Department

Engineering

First Advisor

Brian Armstrong

Committee Members

Naira Campbell-Kyureghyan, Yi Hu

Keywords

3D Motion Tracking, Image Metrology, Mobile Device, Photogrammetry, Rapid Upper Limb Assessment, Rula

Abstract

The accelerating technologies of mobiles devices such as tablets and phones provide an ability to

perform high intensity calculations all while obtaining precise data with increasingly more accurate

sensors. Image metrology and 3D motion tracking can take advantage of these improvements as

they require both significant processing power and camera controls not seen in mobile devices until

very recently. This thesis discusses the development of 3D motion tracking using Google Nexus

tablets and applying the technology to the Rapid Upper Limb Assessment (RULA) to demonstrate

the technology’s application to field measurements. RULA analysis determines the stress placed on

a human body by lifting, turning, and twisting, among other factors and is normally estimated by

trained personnel. However, this low-cost and mobile image metrology system inherently calculates

angles and motion, allowing for a quicker and more precise instrumented RULA versus simply an

observation analysis.

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