Statistics for digital human motion modeling in ergonomics

J Faraway, M P Reed

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

Modern manufacturing demands that products be designed for the comfort and accessibility of consumers as well the health and safety of employees in the workplace. Speed of implementation requires that these designs be constructed in a virtual world. Digital human models are required for these virtual worlds for the exploration of vehicle and manufacturing designs from an ergonomic perspective. This article provides an overview of the ergonomic issues and statistical methods for human motion modeling. We first describe methods for modeling the basic elements of motion, decomposed into univariate curves, three-dimensional trajectories, and orientation trajectories. We then present methods for combining the components of the motion into a coherent whole. Two application examples in truck driver behavior and sheet metal assembly illustrate the methodology.
Original languageEnglish
Pages (from-to)277-290
Number of pages14
JournalTechnometrics
Volume49
Issue number3
DOIs
Publication statusPublished - 2007

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