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.
|Journal||SAE Technical Papers|
|State||Published - 2007|
|Event||Digital Human Modeling for Design and Engineering Conference and Exhibition - Seattle, WA, United States|
Duration: Jun 12 2007 → Jun 14 2007