Validation Methodology Development for Predicted Posture 2007-01-2467
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.
Citation: Marler, T., Yang, J., Rahmatalla, S., Abdel-Malek, K. et al., "Validation Methodology Development for Predicted Posture," SAE Technical Paper 2007-01-2467, 2007, https://doi.org/10.4271/2007-01-2467. Download Citation
Author(s):
Timothy Marler, Jingzhou Yang, Salam Rahmatalla, Karim Abdel-Malek, Chad Harrison
Affiliated:
University of Iowa
Pages: 16
Event:
2007 Digital Human Modeling Conference
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
SAE 2007 Transactions Journal of Passenger Cars: Electronic and Electrical Systems-V116-7
Related Topics:
Optimization
Tools and equipment
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