Improving digital human modelling for proactive ergonomics in design

Abstract

This paper presents the need to improve existing digital human models (DHMs) so they are better able to serve as effective ergonomics analysis and design tools. Existing DHMs are meant to be used by a designer early in a product development process when attempting to improve the physical design of vehicle interiors and manufacturing workplaces. The emphasis in this paper is placed on developing future DHMs that include valid posture and motion prediction models for various populations. It is argued that existing posture and motion prediction models now used in DHMs must be changed to become based on real motion data to assure validity for complex dynamic task simulations. It is further speculated that if valid human posture and motion prediction models are developed and used, these can be combined with psychophysical and biomechanical models to provide a much greater understanding of dynamic human performance and population specific limitations and that these new DHM models will ultimately provide a powerful ergonomics design tool.

Keywords:

• Modelling
• Digital human modelling
• Physical design

Acknowledgments

The authors wish to thank the following organizations that have supported this work. General Motors, Ford, DaimlerChrysler, US Army (TACOM), Johnson Controls Inc. International Truck, Lockheed-Martin, US Postal Service, TRW Foundation, the UM Automotive Research Center and the National Institute for Disability Rehabilitation and Research.