Adaptation of Moiré Phase Tracking to a Mobile Device for Field 3D Data Collections

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.