Journal of Textile Research ›› 2019, Vol. 40 ›› Issue (09): 167-172.doi: 10.13475/j.fzxb.20181005606

• Apparel Engineering • Previous Articles     Next Articles

Data consistency and replaceability based on different human measurement methods

YU Jiajia, LI Jian()   

  1. School of Fashion, Beijing Institute of Fashion Technology, Beijing 100029, China
  • Received:2018-10-30 Revised:2019-06-11 Online:2019-09-15 Published:2019-09-23
  • Contact: LI Jian E-mail:jean.xiaoyu@163.com

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Abstract:

In order to explore consistency and substitutability between human data results obtained by three-dimensional (3-D) scanners and manual data as well as the data equivalence between the results obtained by different scanners, this paper used HumanSolutions and [TC]2 3-D scanners to scan the samples of women between the ages of 20-35, and 30 somatotype indexes of 388 samples were manually measured by Rapidform XOR3. The consistency of the 3-D data and their corresponding manual data were checked using line chart and intraclass correlation coefficient (abbreviate it to ICC). The replaceability of the data were checked according to the national standard. With manual data as a medium, the data consistency and replaceability between two kinds of 3-D data and the real size value were compared to judge the equivalence of different 3-D data. The results show that good consistency exists between 3-D data and manual data(ICC>0.75), and the three data of Human Solutions 3-D scan, [TC]2 3-D scanning and manual measurement are replaceable on partial measurement terms, and can be used equivalently in data processing and analysis.

Key words: manual measurement method, three-dimensional scan, consistency, replaceability, intraclass correlation coefficient

CLC Number: 

  • TS941.17

Tab.1

Anthropometric items"

仪器
名称		 国家 光源 扫描时间/
s		 数据密度/
(字节·s-1)		 准确度/
mm
Human
Solutions		 德国 激光 8~20 2 000 000 5~60
[TC]2 美国 白光 8 400 000 1~2

Fig.1

Different scanner data compared with manual data (chest circumference). (a) HumanSolutions data versus manual data ;(b) [TC]2 data versus manual data"

Tab.2

C between 3-D data and manual data"

测量项目 CH CT 测量项目 CH CT
颈根围 0.977 0.855 肩幅 0.950 0.921
胸围 0.982 0.983 颈根厚 0.973 0.766
乳下围 0.994 0.974 乳点位厚 0.992 0.968
腰围 0.998 0.982 胸围位中心厚 0.997 0.946
腹部前突点围 0.998 0.960 乳下围位厚 0.985 0.960
臀围 0.996 0.951 腰围位厚 0.995 0.960
小腿最突点围 0.999 0.967 腹部前突点厚 0.984 0.940
颈根宽 0.782 0.622 臀围位厚 0.989 0.940
乳点间距 0.967 0.899 小腿最突围厚 0.896 0.913
乳点位宽 0.974 0.938 后中心长 0.949 0.846
乳下围位宽 0.972 0.946 后长 0.883 0.692
腰围位宽 0.991 0.932 前中心长 0.912 0.790
腹部前突点宽 0.992 0.913 前长 0.932 0.693
臀围位宽 0.969 0.879 肩宽1 0.599 0.292
小腿最突围宽 0.940 0.916 肩宽2 0.541 0.322

Tab.3

Replaceability of 3-D data and manual data"

测量项目 ΔH ΔT 最大允
差/cm
颈根围 [-0.2,0.4] [-0.3,0.3] 0.4
胸围 [-1.0,-0.6] [-0.2, 1.0 ] 0.9
乳下围 [-0.4,-0.2] [-0.2,0.5] 0.9
围度 腰围 [-0.2,0.5] [-0.2,1.7] 0.9
腹部前突点围 [-0.1,0.4] [-0.2,0.9] 0.9
臀围 [-0.4,-0.2] [-0.2,1.2] 0.9
小腿最突点围 [-0.4,-0.2] [-0.1,0.4] 0.4
颈根宽 [-0.5,0.2] [-0.5,-0.1] 0.4
乳点间距 [-0.2,0.3] [-0.2,0.2] 0.4
乳点位宽 [-0.6,-0.4] [-0.2,0.5] 0.4
乳下围位宽 [-0.5,-0.4] [-0.1,0.6] 0.4
宽度 腰围位宽 [0.2, 0.7] [-0.1,1.3] 0.4
腹部前突点位宽 [-0.2,0.1] [-0.1,0.8] 0.4
臀围位宽 [-0.6,-0.4] [-0.1,1.5] 0.4
小腿最突围宽 [0.1,0.7] [-0.1,1.1] 0.4
肩幅(SP1) [0.3,0.7] [-0.1, 0.5] 0.4
颈根厚 [0.2,0.4] [-0.1,0.3] 0.5
乳头点位厚 [0.1,0.7] [-0.1,1.3] 0.5
胸围位中心厚 [0.1,0.3] [-0.2,1.6] 0.5
厚度 乳下围位厚 [0.0,0.6] [-0.1,1.1] 0.5
腰围位厚 [0.0,0.3] [-0.1,1.2] 0.5
腹部前突点厚 [0.1,0.6] [-0.1,0.7] 0.5
臀围位厚 [-0.1,0.3] [-0.1,1.5] 0.5
小腿最突围厚 [-0.1,0.5] [-0.1,1.3] 0.5
后中心长 [0.7,1.0] [0.5,0.7] 0.5
后长 [0.3,0.5] [-0.3,0.5] 0.5
实长 前中心长 [-0.8,-0.5] [-0.7,-0.2] 0.5
前长 [-0.5,-0.3] [-0.4, 0.4] 0.5
肩宽2 [-0.1,0.2] [-0.5,-0.2] 0.5
肩宽1 [-0.5,-0.1] [-0.2,0.5] 0.5

Fig.2

Points cloud comparison between HumanSolutions and [TC]2"

Fig.3

[TC]2-cross section of waist point cloud"

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