Title: Low-parametric control of human body shape modelling via the web using 3D scan data
Authors: Igor Goncharenko; Katsuaki Takashiba; Masaaki Mochimaru; Makiko Kouchi; Satoko Usui; Masakazu Odahara
Addresses: 3D Incorporated, 2-3-8 Shin-Yokohama, Yokohama 222-0033, Japan ' 3D Incorporated, 2-3-8 Shin-Yokohama, Yokohama 222-0033, Japan ' Digital Human Research Centre, AIST, 2-3-26 Aomi, Koto-ku, Tokyo 135-0064, Japan ' Digital Human Research Centre, AIST, 2-3-26 Aomi, Koto-ku, Tokyo 135-0064, Japan ' Nihon Unisys Ltd., 1-1-1 Toyosu, Koto-ku, Tokyo 135-8560, Japan ' Nihon Unisys Ltd., 1-1-1 Toyosu, Koto-ku, Tokyo 135-8560, Japan
Abstract: The purpose of this work is to develop a system to model variations of prognostic body shapes by individual 3D scan data and to provide the modelling results to the users via the internet. The client interface allows the users to browse the processed data in a 3D GUI, to simulate body shapes with new desired body measurements (such as weight, waist, chest circumferences, etc.), and to generate printed reports. Modelling can be controlled by a few body dimensions, or even by one measurement. Statistical ground of the modelling control method is given.
Keywords: human body models; body shape modelling; simulation; 3D web interfaces; 3D scan data; body measurements; internet; digital human models; digital human modelling; DHM.
DOI: 10.1504/IJHFMS.2012.051096
International Journal of Human Factors Modelling and Simulation, 2012 Vol.3 No.2, pp.187 - 203
Received: 02 Jan 2012
Accepted: 19 Aug 2012
Published online: 29 Aug 2014 *