A Study on the 3D Body Scan Data Editing Process and Errors Analysis for Clothing Design

2021 ◽  
Vol 21 (1) ◽  
pp. 14-24
Author(s):  
Kyoung Sun Kim ◽  
Younglim Choi
Keyword(s):  
Body Scan ◽  
Clothing Design ◽  
Data Editing ◽  
Scan Data ◽  
Errors Analysis ◽  
Editing Process

scholarly journals Automated and Manual Data Editing: A View on Process Design and Methodology

2013 ◽  
Vol 29 (4) ◽  
pp. 511-537 ◽  
Author(s):  
Jeroen Pannekoek ◽  
Sander Scholtus ◽  
Mark Van der Loo
Keyword(s):  
Process Design ◽  
A Priori ◽  
Empirical Evaluation ◽  
Efficiency Gains ◽  
Specific Nature ◽  
Editing Efficiency ◽  
Data Editing ◽  
Optimal Mix ◽  
Editing Process ◽  
Statistical Functions

Abstract Data editing is arguably one of the most resource-intensive processes at NSIs. Forced by everincreasing budget pressure, NSIs keep searching for more efficient forms of data editing. Efficiency gains can be obtained by selective editing, that is, limiting the manual editing to influential errors, and by automating the editing process as much as possible. In our view, an optimal mix of these two strategies should be aimed for. In this article we present a decomposition of the overall editing process into a number of different tasks and give an upto- date overview of all the possibilities of automatic editing in terms of these tasks. During the design of an editing process, this decomposition may be helpful in deciding which tasks can be done automatically and for which tasks (additional) manual editing is required. Such decisions can be made a priori, based on the specific nature of the task, or by empirical evaluation, which is illustrated by examples. The decomposition in tasks, or statistical functions, also naturally leads to reuseable components, resulting in efficiency gains in process design.

Extraction of Encumbered Anthropometric Measures from Whole-Body Scan Data

2014 ◽  
Vol 58 (1) ◽  
pp. 934-938 ◽  
Author(s):  
Monica L.H. Jones ◽  
Matthew Lamb ◽  
Jen M.V. Shih ◽  
Lois A. Sy ◽  
Allan A. Keefe
Keyword(s):  
Whole Body ◽  
Whole Body Scan ◽  
Body Scan ◽  
Anthropometric Measures ◽  
Scan Data

Development of bulletproof pad design system using 3D body scan data

2019 ◽  
Vol 31 (6) ◽  
pp. 802-812
Author(s):  
Yeong Hoon Kang ◽  
Sungmin Kim
Keyword(s):  
Three Dimensional ◽  
Upper Body ◽  
Design System ◽  
Standard Normal Distribution ◽  
Shape Modification ◽  
Body Scan ◽  
Content Type ◽  
Standard Normal ◽  
Scan Data ◽  
Definition Of

Purpose The purpose of this paper is to develop a system to design a bulletproof pad for chest protection using three-dimensional body scan data. Design/methodology/approach Body data were divided into arbitrary number of groups based on the standard normal distribution theory, considering the width and height of the upper body. Several parameters were used to define the cover area of the bulletproof pad, and the shape of this area of each model in a group was averaged to generate the standard bulletproof pad model for that group. Findings It is possible to use three-dimensional body scan data in the design process of a mass-customized bulletproof pad for chest protection. Practical implications It is expected that it would be possible to design not only bulletproof pad but also many kinds of body-related products that need to reflect the shape of body using the methodology developed in this study. Social implications Using this system, the mass customization of special garments and equipment would be possible, which will improve the wearers’ comfort and work efficiency. Originality/value Three-dimensional body measurement, parametric definition of cover area and user interface for shape modification developed in this study will facilitate the consumer-oriented product design.

Classification of Breast Shape of Women Aged 11~15 Using 3D Body Scan Data

2017 ◽  
Vol 19 (6) ◽  
pp. 786-794 ◽  
Author(s):  
Tingting Han ◽  
Hwa Kyung Song ◽  
Kyu Sun Lee
Keyword(s):  
Body Scan ◽  
Breast Shape ◽  
Scan Data
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