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Categorization of lower body shapes of abdominal obese men using a script-based 3D body measurement software

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dc.contributor.authorLee, Kyu Sun-
dc.contributor.authorSong, Hwa Kyung-
dc.contributor.authorKim, Sungmin-
dc.date.accessioned2020-07-30T00:32:23Z-
dc.date.available2020-07-30T09:35:17Z-
dc.date.issued2020-02-05-
dc.identifier.citationFashion and Textiles. 2020 Feb 05;7(1):3ko_KR
dc.identifier.issn2198-0802-
dc.identifier.urihttps://hdl.handle.net/10371/168651-
dc.description.abstractThe objectives of this study are to identify the principal components that represent distinctive shapes from the silhouette and profile views of the lower body shapes of abdominal obese Korean men and to categorize their body types. Using 3D scans of 625 men aged 35–64 in the 6th SizeKorea dataset, 173 scans (27.7%) of men in abdominal obese category (BMI value of 25, waist girth to height ratio of 0.53, and waist girth to hip girth ratio of 0.9 or higher) were utilized. We developed a script to measure 38 items such as front/back crotch length and front/back depths and angles using the SNU-BM program, which is a script-based automated 3D body scan measurement software. The measurements used for principal component (PC) analysis were 31 drops, 2 heights, 2 lengths and 4 angles. Ten PCs representing distinctive silhouettes and profiles of lower body shapes were extracted. The PCs were interpreted as follows: abdomen prominence, thigh to knee profile, upper buttocks prominence, waist to hip drop, thigh to knee silhouette, lower body tilt angle, waist to crotch length, vertical height, abdomen to crotch height, and lower buttocks slope. The three body shape groups were categorized using a K means cluster analysis with ten PC scores. Group 1 had a flat abdomen but prominent buttocks. Group 2 had a developed abdomen and buttocks with vertical thighs. Group 3 had drooped buttocks with tilted thighs.ko_KR
dc.description.sponsorshipThis work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korean Government
(MSIP) (NRF-2017R1C1B5017733).
ko_KR
dc.language.isoenko_KR
dc.publisherSpringer Openko_KR
dc.subjectObese men-
dc.subjectLower body shape-
dc.subject3D scan data-
dc.subjectScript-based measurement software-
dc.titleCategorization of lower body shapes of abdominal obese men using a script-based 3D body measurement softwareko_KR
dc.typeArticleko_KR
dc.contributor.AlternativeAuthor이규선-
dc.contributor.AlternativeAuthor송화경-
dc.contributor.AlternativeAuthor김성민-
dc.author.alternative-
dc.identifier.doi10.1186/s40691-019-0199-8-
dc.citation.journaltitleFashion and Textilesko_KR
dc.language.rfc3066en-
dc.rights.holderThe Author(s)-
dc.date.updated2020-06-17T12:55:13Z-
dc.citation.number1ko_KR
dc.citation.startpage3ko_KR
dc.citation.volume7ko_KR
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