Multi-directional one-handed strength assessments using AnyBody Modeling Systems. (February 2018)

• Record Type: Journal Article
• Authors: Chander, Divyaksh Subhash; Cavatorta, Maria Pia
• Is Part Of: Applied ergonomics. Volume 67(2018)
• Page Start: 225
• Page End: 236
• Publication Date: 2018-02
• Subjects: Musculoskeletal modeling -- Workplace optimization -- Standing exertion; Human engineering -- Periodicals; 620.82
• DOI: 10.1016/j.apergo.2017.09.015
• Languages: English
• ISSNs: 0003-6870

Abstract

Abstract: Digital human modeling tools support proactive ergonomics in optimizing work tasks and workplace layouts. Empirical-statistical model based tools are often used to estimate the force exertion capability of the operators. This work is intended to serve as an initial probing into the usability of a musculoskeletal model based software, AnyBody Modeling Systems (AMS), in evaluating the force exertion capability at different points in the workspace and for various exertion directions. As a first step, it focuses on the modeling approach and the accuracy of one-handed isometric strength estimates of AMS. An existing literature database was used to compare the predicted strength at 8 hand locations and in 26 exertion directions, while simulating the empirical postures. The results show a correlation coefficient of 0.7 between the simulated and the experimental strength. AMS emphasizes the biomechanical advantages in strength due to the alignment of force exertion direction with the shoulder. Additionally, some discrepancies have been identified and discussed. Highlights: This work investigates the use of musculoskeletal modeling to estimate strength. It focuses on the strength variation in diverse hand locations and force directions. A literature strength database was used as reference for the simulations. Isometric strength was simulated at 8 hand locations and in 26 exertion directions. Correlation coefficient of 0.7 was observed between simulated and empirical data.