An Initial Julia Simulation Approach to Material Handling Operations from Motion Captured Data
| Autor: | Miguel Hernandez, David C. Wierschem, George Koutitas, Jesus A. Jimenez, Francis Mendez, Semih Aslan, Rachel M. Koldenhoven, Damian Valles |
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| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
SIMPLE (military communications protocol) Computer science 020208 electrical & electronic engineering Work (physics) Repetitive task 02 engineering and technology Motion capture Motion (physics) Visualization 020901 industrial engineering & automation Computer engineering 0202 electrical engineering electronic engineering information engineering Code (cryptography) Material handling |
| Zdroj: | 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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