Conference proceeding
Validation Methodology Development for Predicted Posture
SAE Technical Paper Series
Digital Human Modeling Conference, 2007
06/12/2007
DOI: 10.4271/2007-01-2467
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.
Details
- Title: Subtitle
- Validation Methodology Development for Predicted Posture
- Creators
- Timothy Marler - University of IowaJingzhou Yang - University of IowaSalam Rahmatalla - University of IowaKarim Abdel-MalekChad Harrison
- Resource Type
- Conference proceeding
- Conference
- Digital Human Modeling Conference, 2007
- Series
- SAE Technical Paper Series
- DOI
- 10.4271/2007-01-2467
- ISSN
- 0148-7191
- eISSN
- 2688-3627
- Language
- English
- Date published
- 06/12/2007
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Civil and Environmental Engineering; Injury Prevention Research Center; Mechanical Engineering
- Record Identifier
- 9984196554302771
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