3차원 인체데이터를 이용한 20~30대 남성의 가슴 형태 유형화
Classification of Chest Shapes in Men in Their 20s and 30s Using 3D Body Data
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초록
This study classified the chest shapes of adult men using three-dimensional body scan data. Fifteen landmarks and 30 body measurements related to the chest and nipple area were obtained from three-dimensional body data of 500 men in their 20s and 30s. Subsequently, the participants were divided into three groups based on Drop(Chest-Waist), and the morphological characteristics of each group were analyzed. Twenty-four out of the 30 body measurements showed significant differences between the upper body shape groups. Six factors representing male chest shape were extracted and cluster analysis was conducted, resulting in a four-type male chest classification. The clusters appeared to be well-differentiated according to the morphological characteristics of the chest, confirming distinct differences in chest shapes among the groups. Using cross-tabulation analysis, the age groups constituting each cluster were identified, revealing that cluster distribution varied by age.
Abstract
This study classified the chest shapes of adult men using three-dimensional body scan data. Fifteen landmarks and 30 body measurements related to the chest and nipple area were obtained from three-dimensional body data of 500 men in their 20s and 30s. Subsequently, the participants were divided into three groups based on Drop(Chest-Waist), and the morphological characteristics of each group were analyzed. Twenty-four out of the 30 body measurements showed significant differences between the upper body shape groups. Six factors representing male chest shape were extracted and cluster analysis was conducted, resulting in a four-type male chest classification. The clusters appeared to be well-differentiated according to the morphological characteristics of the chest, confirming distinct differences in chest shapes among the groups. Using cross-tabulation analysis, the age groups constituting each cluster were identified, revealing that cluster distribution varied by age.
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