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손 관련 인체측정자료를 이용한 한국인의 손 모양 유형 분류 및 특성 분석

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dc.contributor.author기도형-
dc.contributor.author김상호-
dc.date.available2020-04-24T13:25:27Z-
dc.date.created2020-03-31-
dc.date.issued2012-
dc.identifier.issn1229-6783-
dc.identifier.urihttps://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/2684-
dc.description.abstractIn this study, the representative hand shapes for the adult Koreans were analyzed by factor analysis and cluster analyses. The analyses were conducted on the anthropometric data of 58 hand dimensions from 325 subjects having nonhomogeneous demographics. Maximum hand circumference, first phalanx length of index finger, and ratio between the two measures were the independent variables for the cluster analyses. The results of the study showed that Korean hand shapes can be divided into 2 clusters irrespective of their size for each of the male and female group. There were slight differences in component ratio of hand shapes with respect to the occupation and the age, but their differences were not statistically significant. The representative Korean hand shapes and their anthrpometric dimensions could be used to design and establish proper sizing system for various hand operating devices.-
dc.language한국어-
dc.language.isoko-
dc.publisher대한안전경영과학회-
dc.title손 관련 인체측정자료를 이용한 한국인의 손 모양 유형 분류 및 특성 분석-
dc.title.alternativeClassification and Identification of Korean Hand Shapes based on Anthropometric Hand Data Analysis-
dc.typeArticle-
dc.contributor.affiliatedAuthor김상호-
dc.identifier.bibliographicCitation대한안전경영과학회지, v.14, no.1, pp.75 - 85-
dc.citation.title대한안전경영과학회지-
dc.citation.volume14-
dc.citation.number1-
dc.citation.startPage75-
dc.citation.endPage85-
dc.type.rimsART-
dc.identifier.kciidART001648067-
dc.description.journalClass2-
dc.subject.keywordAuthorRepresentative Hand Shapes-
dc.subject.keywordAuthorKorean Adults-
dc.subject.keywordAuthorFactor Analysis-
dc.subject.keywordAuthorCluster Analysis-
dc.subject.keywordAuthorRepresentative Hand Shapes-
dc.subject.keywordAuthorKorean Adults-
dc.subject.keywordAuthorFactor Analysis-
dc.subject.keywordAuthorCluster Analysis-
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