Journal of Textile Research ›› 2022, Vol. 43 ›› Issue (05): 150-155.doi: 10.13475/j.fzxb.20210508006

• Apparel Engineering • Previous Articles     Next Articles

Study on somatotype classification of elderly women in Dalian area

JIN Jindi1, YAO Tong1,2, WANG Jun1,2, SUN Jianmei1, PAN Li1,2()   

  1. 1. College of Fashion, Dalian Polytechnic University, Dalian, Liaoning 116034, China
    2. Liaoning Key Laboratory of Digital Fashion Design and Engineering, Dalian Polytechnic University, Dalian, Liaoning 116034, China
  • Received:2021-05-28 Revised:2021-09-30 Online:2022-05-15 Published:2022-05-30
  • Contact: PAN Li E-mail:1020404190@qq.com

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Abstract:

In order to gain in-depth understanding of somatotype characteristics of elderly women and to classify the somatotype of elderly women scientifically, human body data of the elderly women aged from 60 to 80 years old in Dalian area were collected, and the somatotype characteristics of the elderly women in Dalian area were analyzed using principal component factor analysis, comparative analysis and K-means dynamic clustering method. The combination classification method was employed to achieve accurate somatotype subdivision. The results show that the chest and waist-abdomen are protruding obviously and the arms are longer in the elderly women in Dalian area. The somatotype of the elderly women can be divided into four types: normal type, short type, high chest type, fat broad chest type and obese wide chest protruding abdomen type. Based on the combination of chest-waist difference and hip-waist difference, the somatotype of elderly women is divided into four categories, with a population coverage rate of 96.57%. The reference values of the control position of the intermediate body are found to be height 160 cm, chest circumference 97 cm, waist circumference 86 cm, abdominal circumference 95 cm, hip circumference 97 cm, arm length 52 cm, total shoulder width 40 cm, which provides a theoretical basis for the design of elderly women's clothing.

Key words: somatotype characteristics, principal component factor analysis, K-means clustering, somatotype classification, elderly women in Dalian area

CLC Number: 

  • TS941.79

Tab.1

Human body width and length factor component matrix"

成分 总肩宽 后背宽 前胸宽 前腰长 后背长 臂长
成分1 0.604 0.615 0.292 0.720 0.709 -0.222
成分2 0.516 0.523 -0.115 -0.321 -0.339 0.579
成分3 -0.077 -0.180 -0.750 0.303 0.368 0.464

Tab.2

Circumference factor component matrix"

成分 颈围 胸围 腰围 腹围 臀围 大腿围 上臂围
成分1 0.143 0.880 0.926 0.972 0.928 0.880 0.927
成分2 0.981 0.059 0.047 -0.031 -0.123 -0.123 0.018

Tab.3

Height factor component matrix"

成分 身高 颈椎点高 胸高 腰高 跨高 躯干长
成分1 0.993 0.993 0.979 0.990 0.951 0.846

Tab.4

Comparison of basic positions of average body of sample and intermediate of body B in national standardcm"

类别 身高 颈围 胸围 腰围 腹围 臀围 臂长 总肩宽
样本均值 161.4 36.0 95.4 86.8 96.4 97.5 52.6 39.7
国标B体型 160.0 34.6 88.0 78.0 — 96.0 50.5 39.8
项目差值 1.4 1.4 7.4 8.8 — 1.5 2.1 -0.1

Fig.1

Schematic diagram of PFS changing with number of classes"

Tab.5

Number and proportion of cases in each cluster category"

聚类类别 1 2 3 4
个案数 68 51 48 36
占比/% 33.3 25.0 23.5 17.6

Tab.6

Comparison table of values of main control parts of each clustering center and national standard series cm"

样本类别 身高 胸围 腰围 臀围 臂长 总肩宽 胸腰差 臀腰差
国标B体型 160.0 88.0 78.0 96.0 50.5 39.8 10.0 18.0
国标C体型 160.0 88.0 82.0 96.0 50.5 39.2 6.0 14.0
聚类中心1 165.1 97.1 86.4 99.0 52.9 39.7 8.7 12.6
聚类中心2 160.0 103.7 96.6 102.3 52.3 40.7 7.0 5.7
聚类中心3 161.3 88.1 77.8 92.9 52.6 38.9 10.7 15.0
聚类中心4 156.8 93.7 85.6 94.2 52.0 39.4 8.2 8.6

Fig.2

Somatotype of each cluster center"

Tab.7

Somatotype classification based on chest-waist difference"

体型代号 A B C D
胸腰差范围/cm 14~18 9~13 4~8 -1~3

Tab.8

Somatotype classification based on hip-waist difference"

体型代号 F0 F1 F2 F3 F4
臀腰差范围/cm 18~21 14~18 9~13 4~8 -1~3

Tab.9

Somatotype classification and distribution based on chest-waist difference-hip-waist difference combination"

体型类别 细分 占比/% 体型类别 细分 占比/%
AF类 AF0 0.98 BF类 BF0 5.88
AF1 1.47 BF1 6.86
AF2 2.45 BF2 22.06
AF3 0.98 BF3 11.27
CF类 CF0 2.45 BF4 3.43
CF1 10.78 DF类 DF1 0.98
CF2 15.20 DF2 0.49
CF3 5.88 DF3 1.47
CF4 1.96 DF4 1.47

Tab.10

Value of main control position of intermediate typecm"

主要控制部位 计算值 采用值
身高 160.37 160
颈椎点高 139.96 140
颈围 36.04 36
胸围 96.63 97
腰围 85.9 86
腹围 95.31 95
臀围 96.61 97
臂长 52.23 52
总肩宽 39.97 40
[1] 国家统计局. 第七次全国人口普查主要数据情况[EB/OL]. 2021-05-11.
National Bureau of Statistics. Main Data of the 7th Population Census[EB/OL]. 2021-05-11.
[2] 中泽愈. 人体与服装[M]. 袁观洛,译. 北京: 中国纺织出版社, 2003:12-13.
NAKAZAWA Yu. Human body and clothing[M]. YUAN Guanluo, Tramslating. Beijing: China Textile & Apparel Press, 2003:12-13.
[3] SIMMONS K, LSTOOK C L. Female figure identification technique for apparel: part Ⅱ:development of shape sorting software[J]. Journal of Textile & Apparel Technology & Management, 2004, 4(1):1-14.
[4] SONG H K, ASHDOWN S P. Categorization of lower body shapes for females based on multiple view analy-sis[J]. Textile Research Journal, 2011, 81(9):914-931.
doi: 10.1177/0040517510392448
[5] CHOI Y L, NAM Y J. Classification of upper lateral body shapes for the apparel industry[J]. Human Factors and Ergonomics in Manufacturing & Service Industries, 2010, 20(5):378-390.
[6] 孙洁, 倪世明, 叶玲, 等. 基于体表角度的女子体型分类与识别[J]. 浙江理工大学学报, 2013, 30(2):184-188.
SUN Jie, NI Shiming, YE Ling, et al. Classification and recognition of female somatotype based on body surface point of view[J]. Journal of Zhejiang Sci-Tech University, 2013, 30(2):184-188.
[7] 刘咏梅, 代虹. 成都地区中老年女性体型研究[J]. 纺织学报, 2010, 31(10):110-115.
LIU Yongmei, DAI Hong. A study on the somatotype of middle-aged and elderly women in Chengdu[J]. Journal of Textile Research, 2010, 31(10):110-115.
[8] 钱露露, 王宏付, 胡潮江. 基于三维测量的江浙地区50-75岁中老年女性体型细分研究[J]. 山东纺织科技, 2014, 55(2):40-44.
QIAN Lulu, WANG Hongfu, HU Chaojiang. A study on somatotype subdivision of middle-aged and 75-year-old women aged 50 to 75 in Jiangsu and Zhejiang based on three-dimensional measurement[J]. Shandong Textile Science and Technology, 2014, 55(2):40-44.
[9] 夏凤勤, 毋戈, 谢昊洋, 等. 基于人体纵截面特征曲线的体型分类[J]. 纺织学报, 2017, 38(6):86-91.
XIA Fengqin, WU Ge, XIE Haoyang, et al. Somatotype classification based on the characteristic curve of human longitudinal section[J]. Journal of Textile Research, 2017, 38 (6):86-91.
[10] 王军, 李晓久, 潘力, 等. 东北地区青年女性腰臀部体型特征与分类[J]. 纺织学报, 2018, 39(4):106-110.
WANG Jun, LI Xiaojiu, PAN Li, et al. Somatotype characteristics and classification of waist and buttocks of young women in Northeast China[J]. Journal of Textile Research, 2018, 39(4):106-110.
[11] 骆嘉伟, 李仁发, 张白妮. 基于多维伪F统计量的基因表达动态聚类分析方法研究[J]. 系统仿真学报, 2006, 18(3):586-589.
LUO Jiawei, LI Renfa, ZHANG Baini. Studyondynamic clustering analysis method for gene expression data based on multidimensional pseudo F statistics[J]. Journal of System Simulation, 2006, 18(3):589-589.
[12] 吴瑕杰, 李龙源, 刘姝晗. 基于聚类分析对城市居民食品在零售价格方面分类的研究[J]. 科协论坛(下半月), 2011, 25(9):125.
WU Xiajie, LI Longyuan, LIU Shuhan. Study on the classification of retail price of food for urban residents based on cluster analysis[J]. Association of Science and Technology Forum (Second Half), 2011, 25(9):125.
[13] 丁中娟, 杜劲松. 女性体型分类研究概述[J]. 国际纺织导报, 2016, 44(12):57-61.
DING Zhongjuan, DU Jinsong. An overview of the study on the classification of female somatotype[J]. Melliand China, 2016, 44(12):57-61.
[14] 于晓坤, 胡帆, 朱达辉, 等. 上海地区中老年女性体型研究[J]. 北京服装学院学报(自然科学版), 2016, 36(4):9-17.
YU Xiaokun, HU Fan, ZHU Dahui, et al. A study on the somatotype of middle-aged and elderly women in Shanghai[J]. Journal of Beijing Institute of Fashion Technology (Natural Science Edition), 2016, 36(4):9-17.
[15] 潘力, 王军, 沙莎, 等. 东北地区青年女子体型分类与服装档差研究[J]. 纺织学报, 2013, 34(11):131-135.
PAN Li, WANG Jun, SHA Sha, et al. A study on the somatotype classification and clothing grade difference of young women in Northeast China[J]. Journal of Textile Research, 2013, 34(11):131-135.
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