Validation Methodology Development for Predicted Posture University of Iowa

Format:

Conference/Event

Author/Creator:

Marler, Timothy, author.

Conference Name:

2007 Digital Human Modeling Conference (2007-06-12 : Seattle, Washington, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2007

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2007-01-2467

Access Restriction:

Restricted for use by site license