Title: Posture evaluation for the full-body dynamic simulation in JACK Siemens PLM

Authors: Xiaoxu Ji; Saeed Tiari

Addresses: Department of Biomedical, Industrial and Systems Engineering, Gannon University, 109 University Square, Erie, Pennsylvania, 16541, USA ' Department of Biomedical, Industrial and Systems Engineering, Gannon University, 109 University Square, Erie, Pennsylvania, 16541, USA

Abstract: The objective of this study is to evaluate the accuracy of predicted postures in JACK Siemens software via comparing with the actual human movement recorded by the Xsens motion tracking system. Seventeen student volunteers were recruited in this study and required to perform a common lift task with different loads. Our statistical results revealed the significant difference of joint angular displacements (e.g., trunk, hips, elbows, knees, and shoulders) between the simulated human movements and actual measurements. Additionally, we estimated the spinal forces imposed on the lower back of participants, which were highly correlated to the joint poses. To provide robust ergonomics analysis, the manufacturers need to continue the efforts to improve their software by reconsidering the significant individual factors, such as the muscle strength between males and females, and the effect of loads on the adopted postures during task performance.

Keywords: musculoskeletal disorder; ergonomics; digital human model; full-body dynamic simulation; posture; prediction; spinal force; JACK Siemens PLM; TSB; Xsens.

DOI: 10.1504/IJHFE.2022.126127

International Journal of Human Factors and Ergonomics, 2022 Vol.9 No.3, pp.261 - 281

Received: 09 Dec 2021
Accepted: 20 May 2022
Published online: 11 Oct 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article