An Initial Julia Simulation Approach to Material Handling Operations from Motion Captured Data

Abstract

Performing modeling simulations with visualization and control can be rather difficult for dynamical models or other diverse applications. This work demonstrates the utility of the Julia programming language to solve this problem by being able to keep a simple condensed code and creating a powerful visual model with various controls. The simulation application is based on material handling tasks that are analyzed for human fatigue from repetitive operations. The aim is to detect human motions when performing the tasks and predict fatigue levels associated with these activities. The Julia simulation development addresses developing a computational solution to generate human subjects performing material handling operations synthetically. With the use of several Julia packages, the simulation development used the data from the Qualisys Motion Capture Systems and rendered each of the 41 points of data of a human subject performing lifting and lowering repetitive task.