Multi-directional one-handed strength assessments using AnyBody Modeling Systems

Area of Science:

• Ergonomics
• Biomechanics
• Human Factors Engineering

Background:

• Digital human modeling (DHM) tools are crucial for proactive ergonomics in optimizing work tasks and workplace layouts.
• Empirical-statistical models are commonly used for estimating operator force exertion capabilities.

Purpose of the Study:

• To investigate the usability of the AnyBody Modeling System (AMS), a musculoskeletal model-based software.
• To evaluate AMS's accuracy in estimating one-handed isometric strength at various workspace locations and exertion directions.

Main Methods:

• Simulated empirical postures using an existing literature database.
• Compared predicted strength with experimental data at 8 hand locations and 26 exertion directions.
• Focused on the modeling approach and accuracy of AMS for isometric strength estimation.

Main Results:

• A correlation coefficient of 0.7 was found between simulated and experimental strength.
• AMS highlighted biomechanical strength advantages when force exertion aligns with the shoulder.
• Identified and discussed discrepancies between model predictions and empirical data.

Conclusions:

• AMS demonstrates potential for evaluating operator force exertion capabilities in ergonomic assessments.
• The software's accuracy in isometric strength estimation warrants further investigation and refinement.
• Findings support the use of AMS in optimizing workspace design and task analysis for improved ergonomics.