3DBODY.TECH 2017 - Paper 17.347

K. Watanabe, "Body Type Classification of the Three-dimensional Torso Shape of Japanese Men Aged 20 to 70 Years for Efficient Clothing Design", in Proc. of 3DBODY.TECH 2017 - 8th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies, Montreal QC, Canada, 11-12 Oct. 2017, pp. 347-355, https://doi.org/10.15221/17.347.


Body Type Classification of the Three-dimensional Torso Shape of Japanese Men Aged 20 to 70 Years for Efficient Clothing Design



Kyoto Women's University, Kyoto, Japan


In Japan, the men's clothing industry has faced repeated price competition. However, it seems that price competition is also reaching its limit. Consumers are looking for new added value, and clothes that fit the body by a new made-to-measure system could be one solution. An appropriate classification system of body types is needed for an efficient made-to-measure system. However, analysis of male bodies has rarely been performed in Japan. The final purposes are to classify the body types among Japanese men, and create a new made-to-measure system using three-dimensional body scanning data. In this study, our aims were to clarify factors that account for the diversity among Japanese men's body shapes, and to develop a classification system for Japanese men's body shapes. The data of 50 men in each age group of men in their 20s, 30s, 40s, and 50s and 50 men in their 60s and 70s, totaling 250 men, were randomly selected from 429 men aged 20 to 79 years old. A body line scanner was used to measure each person's body. In this study, the trunk, which was restricted to the inside of the arm hole, below the neckline, and above the trochanter point, was analyzed. The origin was unified based on the landmarks: the back-neck point was the origin of the X-axis (transverse direction), the trochanter point was the origin of the Y-axis (vertical direction) and the right-side neck point was the origin of the Z-axis (sagittal direction). To enable statistical analysis, the data from each individual were transformed to a homologous model by HBM software. The homologous models were analyzed by principal component analysis with DHRC-HBS Human Body Shape Statistics software. Seven factors were extracted and interpreted as follows. The first principal component (PC1) was the factor of height of the trunk. PC2 was inclination of the torso forward or backward above the waistline. PC3 was thickness of the torso. PC4 and PC5 were left / right difference. PC6 was forward or backward shoulder. PC7 was considered as distortion of the shoulder relative to the lower trunk. The principal component scores for PC1, PC2, PC3, and PC6 were used in cluster analysis with the statistics software IBM SPSS Statistics. The analysis resulted in seven clusters. CL1 and CL4 were similar to the average shape of the 250 subjects, although CL4 was taller than CL1. CL1 and CL4 accounted for 50% of the men in the groups of men in their 30s, 40s, and 50s. CL6 was slenderer than CL1; in CL6, the body trunk was thin and showed swayback, and its frequency was relatively high among men in their 20s. CL7 represented good posture with a developed chest. CL3 had a round back and front shoulder and these men were short; CL3 comprised 50% or more of the men in their 60s and 70s. CL2 was bending backward with a protruded stomach, which is considered to be the so-called metabolism type, and comprised 20% of men in their 50s. This body classification system is considered to be applicable for virtual dress dummy design and for a made-to-measure system.


Full paper: 17.347.pdf
Proceedings: 3DBODY.TECH 2017, 11-12 Oct. 2017, Montreal QC, Canada
Pages: 347-355
DOI: 10.15221/17.347

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