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| Hierarchical Analysis Method and Model Based Data of Controlling Parts of the Body for Clothing
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Abstract In order to study the accuracy of human measurement data more systematically, the analytic hierarchy
model was established to evaluate the degree of measurement diffculty. Based on the manual measurement
experiment, we extracted and analyzed the data from different angles, such as the proficiency of work,
parts of human body, error correcting frequency and single factor. The three factors, diffculty of
recognizing the defined points, dimension of the moving points and measuring path, are used as the
standard of criterion level. The results showed that the structure of the body's parts of is the key to
producing the measurement di±culty and the diffculty of recognizing the deffned points is the most.
Besides, shoulder width is the most diffcult part to measure and the chest circumference is the least.
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| Fund:Project supported by the Priority Academic Program Development of Jiangsu Higher Education Institutions.
Partially supported by Soochow University. |
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| Cite this article: |
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Xiaomei Shang,Xiaoyu Xing,Peipei Gao. Hierarchical Analysis Method and Model Based Data of Controlling Parts of the Body for Clothing
[J]. Journal of Fiber Bioengineering and Informatics, 2014, 7(4): 479-494.
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| [1] Peng Z. Application and progress of anthropometric and digital human modeling techniques. Er-
gonomics 2007; 4: 67-69.
[2] Peng SX, Chan CK, Ip WH. 3D parametric body model based on Chinese female anthropometric
analysis. Lecture Notes in Computer Science 2011; 6777: 22-29.
[3] Kuang CY. Study of young male body non-contact measurement system based on a digital image.
Soochow University 2011.
494 X. Shang et al. / Journal of Fiber Bioengineering and Informatics 7:4 (2014) 479{494
[4] Ma YZ, Lee K, Li LL, Kwon Junghoon. Nonlinear regression equations for segmental mass-inertial
characteristics of Korean adults estimated using three-dimensional range scan data. Applied Er-
gonomics 2011; 2: 297-308.
[5] Lu D. 3D body scanning technology overview and outlook. Henan Science and Technology 2010;
22: 1-4.
[6] Huang HQ, Mok PY, Kwok YL. Block pattern generation: From parameterizing human bodies to
fit feature-aligned and flat tenable 3D garments. Computers in Industry 2012; 7: 680-691.
[7] Au CK, Yuen MM. Feature-based reverse engineering of mannequin for garment design Original
Research Article. Computer-Aided Design 1999; 12: 751-759.
[8] Wang X, Wang ZQ, Li ML. Anthropometric error analysis based on the reference method. Indus-
trial Control Computer 2012; 8: 108-109.
[9] Zhu FF, Luo RL. Human body measurement system based on incomplete data. Journal of Zhejiang
Sci-Tech University 2011; 5: 710-713.
[10] Ren Y. Apparel anthropometric status and technology. Journal of Ningbo Clothing Vocational
and Technical College 2004; 6: 17-19.
[11] Cao B, Shang XM. Analysis and Optimization of the Body Measurement Program supporting the
Clothing Ergonomics. Advanced Materials Research 2013; 796: 443-446.
[12] Chong YZ, Leong XJ. Preliminary findings on anthropometric data of 19-25 year old Malaysian
university students. IFMBE Proceedings 2011; 35: 193-196.
[13] Wang QM, Zhang WY. Comparative study on clothing anthropometric approach. Sichuan Silk
2007; 1: 39-41.
[14] Sims RE, Marshall R, Gyi DE, et al. Collection of anthropometry from older and physically
impaired persons: Traditional methods versus TC2 3D body scanner. International Journal of
Industrial Ergonomics 2012; 1: 65-72.
[15] Pan L, Wang J, Yao T, Yu ZJ. Contact and non-contact anthropometric data comparison. Journal
of Dalian Polytechnic University in China 2013; 02: 140-142.
[16] Wang YZ, Zhang Y, Zhang T, et al. . Comparative accuracy studies of 3D scanning with manual
measurement. Shandong Textile Science and technology 2013; 03: 46-48.
[17] Zhang SJ, Ding XJ, Zhou FY. Study on the relationship between 3D scanning data and manual
measurement data. Journal of Zhejiang Sci-Tech University 2006; 03: 298-301.
[18] Ren H, Wang XT, Wu XW, Chen J. Application of 3D body scanning technology in the measure-
ment of body form. Journal of Beijing Sport University 2013; 01: 51-54.
[19] Li HL. Introduction and improvement of mathematical modeling. Beijing: National Defence In-
dustry Press 2013.
[20] GB/T 16160-2008. Location and method of anthropometric surveys for garments [S]. 8.
[21] Bonnechµere B, Jansen B, Salvia P, et al. Determination of the precision and accuracy of morpho-
logical measurements using the Kinect sensor: Comparison with standard stereo-photogrammetry.
Ergonomics 2014; 4: 622-631.
[22] Zhu SY, Mok PY, Kwok YL. An e±cient human model customization method based on orthogonal-
view monocular photos. Computer-Aided Design 2013; 11: 1314-1332.
[23] Xu JH, Chen XF, Zhang WB. A Study on Area Ease Distribution between Body and Garment.
J. Fiber Bioengineering Informatics 2009; 02: 101-107.
[24] Yang YC, Zou FY, Ji XF. A Case Study on Developing Virtual Dress Form Based on Body Shape
Classification. J. Fiber Bioengineering Informatics 2011; 02: 77-186.
[25] Jiao J, Yao L, Li Y, et al. Thermal Physiology and Local Responses of Human Body During
Exercise in Hot Condition. J. Fiber Bioengineering Informatics 2012; 2: 115-124.
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2014, Vol. 7 
