Anthropometrics 2.0: Enrichment of Classical Anthropometry through Multidisciplinary Collaboration
DS 78: Proceedings of the 16th International conference on Engineering and Product Design Education (E&PDE14), Design Education and Human Technology Relations, University of Twente, The Netherlands, 04-05.09.2014
Editor: Erik Bohemia, Arthur Eger, Wouter Eggink, Ahmed Kovacevic, Brian Parkinson, Wessel Wits
Author: Verwulgen, Stijn; Lacko; De Bruyne, Guido; Danckaers, Femke; Christis, Naomi; Sijbers, Jan; Huysmans, Toon
Institution: 1Product Development, Faculty of Design Science, University of Antwerp, Belgium, 2iMinds-Vision Lab, Department of Physics, Faculty of Science, University of Antwerp, 3AnSyMo, Department of Mathematics and Computer Science, Faculty of Science, University of Antwerp
Section: Using Technology in Teaching
State of the art computational methods might offer the opportunity to handle 3D anthropometrical information: in a collection of similar 3D shapes, when there is a correspondence of points, certain mathematical operations, such as calculation of mean shape and even a standard deviation in each point, can be performed. As such, a statistical shape model can be interesting for the purpose of product development since it provides insight in the intrinsic variation of a 3D form within a given population and-if large enough- even contains all information to determine the shape of each individual, making statistical shape models potentially very interesting to design mass customization products. To that end, the information contained in statistical shape models should be made available for the purpose of product development, to enrich the classical use of anthropometry in the design process. The intended enrichment is further denoted "Anthropometrics 2.0". This concept was first explored through a multidisciplinary collaboration with master students in Product Development, Computer Science and Applied Engineering, supported by the Belgian industrial research and development conglomerate (BiR&D). The objective of this educational project was to explore how state of the art statistical shape models could be made available as digital models for the purpose of product development through CAD. In this paper we present the results towards this aim and how the different scientific disciplines with respective master student collaborated towards this purpose. The project was confined to the human head.