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GB/T 23698-2023: General requirements for 3-D scanning anthropometric methodologies
Status: Valid GB/T 23698: Evolution and historical versions
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General requirements for 3-D scanning anthropometric methodologies
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GB/T 23698-2023
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| GB/T 23698-2009 | English | 799 |
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General requirements for 3-D scanning anthropometric methodologies
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Basic data | Standard ID | GB/T 23698-2023 (GB/T23698-2023) | | Description (Translated English) | General requirements for 3-D scanning anthropometric methodologies | | Sector / Industry | National Standard (Recommended) | | Classification of Chinese Standard | A25 | | Classification of International Standard | 13.180 | | Word Count Estimation | 34,332 | | Date of Issue | 2023-05-23 | | Date of Implementation | 2023-12-01 | | Older Standard (superseded by this standard) | GB/T 23698-2009 | | Issuing agency(ies) | State Administration for Market Regulation, China National Standardization Administration | GB/T 23698-2023: General requirements for 3-D scanning anthropometric methodologies---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
ICS 13:180
CCSA25
National Standards of People's Republic of China
Replacing GB/T 23698-2009
General requirements for 3D scanning anthropometric methods
extracted from 3-Dbodyscans, and ISO 20685-2:2015, Ergonomics-
Released on 2023-05-23 Implemented on 2023-12-01
State Administration for Market Regulation
Released by the National Standardization Management Committee
table of contents
Preface I
Introduction II
1 Scope 1
2 Normative references 1
3 Terms and Definitions 1
4 Measurement accuracy3
4:1 Selection of measurement items 3
4:2 Standard value 5
5 Validity Study Design for Determining the Accuracy of 3D Scanning Measurements6
5:1 General 6
5:2 Validation study protocol 6
5:3 Sample size and selection of subjects 6
5:4 Analysis step 6
5:5 Validity Research Report 7
6 Methods for estimating the required sample size 7
7 Surface shape measurement evaluation test procedures 8
7:1 General 8
7:2 Test ball 8
7:3 Test procedure 8
8 Marker position repeatability evaluation test 10
8:1 General 10
8:2 Test object 10
8:3 Marking point 10
8:4 Test procedure 11
9 Missing region assessment 12
9:1 General 12
9:2 Subject recruitment 12
9:3 Posture control and measurement 12
9:4 Evaluation procedure 12
9:5 Test report 13
Appendix A (informative) Methods for reducing measurement errors in 3D scanning 14
Appendix B (Informative) Test Ball Example 21
Appendix C (Informative) Test and Report Example 22
Appendix D (Informative) Simultaneously superimpose the coordinate data of marker points obtained by 10 scans 27
Appendix E (Informative) Example of Missing Area Assessment Report 28
Reference 30
foreword
This document is in accordance with the provisions of GB/T 1:1-2020 "Guidelines for Standardization Work Part 1: Structure and Drafting Rules for Standardization Documents"
drafting:
This document replaces GB/T 23698-2009 "General Requirements for Three-dimensional Scanning Anthropometry Methods", and is consistent with GB/T 23698-2009
In addition to structural adjustments and editorial changes, the main technical changes are as follows:
--- Changed the normative references (see Chapter 2, Chapter 2 of the:2009 edition);
---Delete 24 terms such as "acromion point" and "anterior superior iliac spine point", and directly refer to the corresponding terms in GB/T 5703-2023
and added four terms "spherical measurement error", "spherical dispersion", "radial distance standard deviation" and "diameter measurement error" (see
Chapter 3, Chapter 3 of the:2009 edition);
--- Added the calculation method and example of the 95% confidence interval of the difference between the three-dimensional scanning measured value and the measured true value (see 5:4);
--- Added the chapter "Surface shape measurement evaluation test procedures" (see Chapter 7);
--- Added the chapter "Repeatability Evaluation Test of Marking Point Position" (see Chapter 8);
--- Added the chapter "Missing Region Assessment" (see Chapter 9);
---Delete the "nipple point", "thyroid cartilage point", "shoulder end point" and "scapula inferior angle point" in the anatomical marker points of the recommended mark (see
Appendix A:2:2 of the:2009 edition);
--- Added an informative appendix "Test Ball Example" (see Appendix B);
--- Added an informative appendix "Examples of tests and reports" (see Appendix C);
--- Added an informative appendix "Mark point coordinate data obtained by superimposing 10 scans at the same time" (see Appendix D);
--- Added an informative appendix "Missing area assessment report example" (see Appendix E):
This document refers to ISO 20685-1:2018 "Three-dimensional scanning method applied to the international compatible anthropometric database - Part 1: from human
Evaluation procedures for extracting human body size data from volumetric 3D scanning" and ISO 20685-2:2015 "Ergonomics applied to internationally compatible human bodies
Three-dimensional scanning methods for surveying databases - Part 2: Procedures for the evaluation of the repeatability of surface shapes and associated marker positions" drafted, consistent
degree of non-equivalent:
Please note that some contents of this document may refer to patents: The issuing agency of this document assumes no responsibility for identifying patents:
This document is proposed and managed by the National Ergonomics Standardization Technical Committee (SAC/TC7):
This document is drafted by: China National Institute of Standardization, Beijing Jinfa Technology Co:, Ltd:, Jiangsu Jitong Garment Co:, Ltd:, Shenzhen Wei
Plastic Intelligent Technology Co:, Ltd:, Air Force Medical University Air Force Special Medical Center, Zhejiang Youyi Medical Devices Co:, Ltd:, Donghua University, Zhejiang
Jiang Qiaodun Clothing Co:, Ltd:, and the Institute of Chemical Defense of the Academy of Military Sciences of the Chinese People's Liberation Army:
The main drafters of this document: Zhang Xin, Ran Linghua, Zhao Qichao, Liu Taijie, Hu Huimin, Dong Xiaopeng, Yang Shaoyi, Guo Xiaochao, Li Weiping, Zheng Rong,
Shen Yingqin, Zheng Xiaohui, Wang Rui, Zhao He, Luo Ling, Wang Zhongting, Chu Zhiwei, Yang Ronghui, Wu Haimei:
The release status of previous versions of this document and the documents it replaces are as follows:
---First published as GB/T 23698-2009 in:2009;
--- This is the first revision:
Introduction
Anthropometric data are an important basis for many standards: There are a variety of devices that can be used for the collection of human body size data, among which 3D scanners are
A relatively new anthropometric device: The 3D point cloud data of the human body surface collected by the 3D scanner can be applied to clothing design, automobile design, etc:
Design and the fields of engineering and medicine: Digital human models created from 3D point clouds can be used in various applications related to technical design:
There is currently no standardized method for using 3D point cloud data in the design process, therefore, many users extract 1D data from 3D point cloud data:
According to use: Different applications have different quality requirements for anthropometric data, so it is extremely important to control the quality of 3D scanning anthropometric data:
Existing types of 3D scanning systems have different technical bases: These include stereo photography, ultrasound and light (laser, white light and
Infrared), etc:, and the way the software processes the scan data varies: In addition, different software are extracting dimensions similar to traditional dimensions
There are also significant differences in their characteristics and performance when using data: Different systems have different methods of extracting marker locations: In some systems, people
After the anthropometrician determines the position, he pastes the marking sticker on the corresponding position, and the scanner system can calculate the position of the corresponding marking point accordingly;
Some other systems can automatically calculate the position of the marker point from the surface shape data: The accuracy of the position judgment of the marker point, for scanning
The quality of the extracted 1D measurements and digital human models created from these landmarks is critical:
The 3D scanning system can be used to collect various body size data such as length and girth, but due to the different technical foundations of software and hardware, different systems
There will be significant differences in the measurement of the same individual by the 3D system, so it is obvious to develop standards to help users determine whether the 3D system meets their needs:
extremely important:
This document aims to ensure the consistency of the items specified in GB/T 5703-2023 when using a three-dimensional scanner for the human body, and
The extracted data can be applied to the database stipulated in GB/T 22187 "General Requirements for Establishing Anthropometry Database": This file can be 3D
Agreement between scanner users and suppliers, and between 3D anthropometric database providers and data users on body scanner performance
provide the basis for proposals:
General requirements for 3D scanning anthropometric methods
1 Scope
This document specifies the rules for the acquisition of human body shape data using a three-dimensional surface scanning system, and the use of a three-dimensional surface scanning system to measure
The rules for human body size items that can be extracted from three-dimensional scanned images defined in GB/T 5703-2023;
Test procedures for 3D surface scanning systems for shape data and body dimensions:
This document applies to body scanners and body segment scanners (such as head scanners, hand scanners and foot scanners): this document
Body scanner for body measurements in a single view: When evaluating handheld scanners, operators themselves may
body error: When the target object in the evaluated system has rotation, motion artifacts may be generated, which also affect the total error:
The test procedures for the repeatability assessment of marker position recognition given in this document are applicable to markers determined by anthropometry, not suitable for
For marker positions automatically calculated by point cloud software:
This document does not apply to devices that measure the position and/or motion of a single marker:
The intended users of this document include the use of people, anthropometric data utilizing 3D scanners to create 1D and 3D anthropometric databases
makers, designers and manufacturers of 3D scanners:
2 Normative references
The contents of the following documents constitute the essential provisions of this document through normative references in the text: Among them, dated references
For documents, only the version corresponding to the date is applicable to this document; for undated reference documents, the latest version (including all amendments) is applicable to
this document:
GB/T 5703-2023 Anthropometric basic items for technical design
3 Terms and Definitions
The following terms and definitions defined in GB/T 5703-2023 apply to this document:
3:1
three-dimensional three-dimensional;3-D
The value of three two-by-two orthogonal coordinate axes is used to represent the form of space points, and the three coordinate values of X, Y, and Z can give any one in the space:
The exact location of the relevant anatomical points:
NOTE: Many anthropometric length values can be calculated from the coordinates of anatomically marked points: A few extra points are required when calculating girth:
3:2
3D Body Scanner 3-Dbodyscanner
A software and hardware system that can generate digital data that can represent the shape of the whole or part of the human body in three-dimensional form:
3:3
3-D scanner software 3-Dscannersoftware
The operating system, user interface, program, algorithm and instructions related to the 3D scanning system:
3:4
3D scanner hardware 3-Dscannerhardware
The physical components of a 3D scanner and associated computer:
3:5
Accuracyaccuracy
The degree to which a measured value deviates from the true value:
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