Validation methodology development for predicted posture

Timothy Marler, Jingzhou Yang, Salam Rahmatalla, Karim Abdel-Malek, Chad Harrison

Research output: Contribution to journalConference article

7 Scopus citations

Abstract

As predictive capabilities advance and human-model fidelity increases, so must validation of such predictions and models. However, subjective validation is sufficient only as an initial indicator; thorough, systematic studies must be conducted as well. Thus, the purpose of this paper is to validate postures that are determined using single-objective optimization (SOO) and multi-objective optimization (MOO), as applied to the virtual human Santos™. In addition, a general methodology and tools for posture-prediction validation are presented. We find that using MOO provides improvement over SOO, and the results are realistic from both a subjective and objective perspective.

Original languageEnglish
JournalSAE Technical Papers
DOIs
StatePublished - 2007
EventDigital Human Modeling for Design and Engineering Conference and Exhibition - Seattle, WA, United States
Duration: Jun 12 2007Jun 14 2007

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