Title: Anthropometry model generation based on ANSUR II database

Authors: Xianlian Zhou; Kay Sun; Paulien E. Roos; Peng Li; Brian Corner

Addresses: CFD Research Corporation (CFDRC), Huntsville, AL, USA ' CFD Research Corporation (CFDRC), Huntsville, AL, USA ' CFD Research Corporation (CFDRC), Huntsville, AL, USA ' Natick Soldier Research, Development and Engineering Center (NSRDEC), Natick, MA, USA ' US Marine Corps (USMC), USA

Abstract: This paper presents a three-dimensional (3D) anthropometry model generation (AMG) software framework based on the latest US Army Anthropometric Survey (ANSUR II) database. The software utilises principal component shapes derived from 3D body scans in the database and employs two complementary methods (feature analysis method and database method) to generate 3D surface models directly from anthropometric feature specifications. Virtual landmarks and 3D features identified on the surface models are the keys for success of the present approaches. It is demonstrated that the features calculated from these models are in good agreement with traditional tape or caliper measurements with a few exceptions due to measurement methodology or posture. Besides surface anthropometry, the software is able to construct a dynamic joint segment framework from any of the models and morph associated bones, muscles, interior organs, and clothing accordingly. This AMG software is a valuable tool for AMG in digital human/warfighter/patient modelling for various applications in biomechanics, human factors or ergonomics, physiology, and medicine.

Keywords: anthropometry; ANSUR II; 3D body scans; principal component analysis; PCA; digital human model; DHM; subject-specific model.

DOI: 10.1504/IJDH.2016.084584

International Journal of the Digital Human, 2016 Vol.1 No.4, pp.321 - 343

Received: 17 May 2016
Accepted: 03 Jan 2017

Published online: 15 Jun 2017 *

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