TY - JOUR
T1 - Validation methodology development for predicted posture
AU - Marler, Timothy
AU - Yang, Jingzhou
AU - Rahmatalla, Salam
AU - Abdel-Malek, Karim
AU - Harrison, Chad
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85072436512&partnerID=8YFLogxK
U2 - 10.4271/2007-01-2467
DO - 10.4271/2007-01-2467
M3 - Conference article
AN - SCOPUS:85072436512
SN - 0148-7191
JO - SAE Technical Papers
JF - SAE Technical Papers
T2 - Digital Human Modeling for Design and Engineering Conference and Exhibition
Y2 - 12 June 2007 through 14 June 2007
ER -