A Digital Human Model for Performance-Based Design

A Digital Human Model for Performance-Based Design

Journal Article

Abstract

​​​Real-time optimization-based posture prediction has fostered the development of zone differentiation, whereby performance-measure values resulting from a predicted posture are evaluated and displayed for large volumes of target points surrounding an avatar. To date, this tool was limited with respect to computational speed and practical applications. This paper presents a series of improvements and new features, including new algorithms for sphere filling and collision avoidance, significant increases to computational speed, incorporation of whole-body posture prediction, new methods for visualizing results, and multi-dimensional zone differentiation, which is the ability to automatically calculate multiple zones for various sets of problem parameters. These new tools collectively advance human systems integration. They are successfully applied to three example problems and demonstrate the ability to direct product design virtually, based on human performance.​​​

Details

PUBLISHED IN
Digital Human Modeling. Applications in Health, Safety, Ergonomics and Risk Management, Lecture Notes in Computer Science Volume 8529, pp 136-147
PUBLICATION DATE
01 janv. 2014
AUTHORS
T. Marler, S. Beck, U. Verma, R. Johnson, V. Roemig, B. Dariush