• Title/Summary/Keyword: 3D 인체 스캔 데이터

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Analysis of Body Surface Area by Fitness Motion Using 3D Scan Data of Korean Elderly Female (한국 여성 노인 3D 스캔 데이터를 활용한 피트니스 동작별 체표면적 분석)

  • Jeon, Eun-Jin;Jung, Ha-young;Kim, Hee-Eun;You, Hee-Cheon
    • Fashion & Textile Research Journal
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    • v.22 no.5
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    • pp.650-659
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    • 2020
  • The present study provides reference data required for the design of clothing for the elderly by analyzing the body surface area during fitness motion based on 3D scan data of Korean elderly women. This study was conducted with the procedures of (1) survey of motions and main muscles for fitness, (2) acquisition of 3D scan data, and (3) analysis of rate of change for body surface area during fitness motion. Acquisition of 3D body scan data was obtained from seven elderly females (age: 64-77). We selected 66 anatomical landmarks (40 upper body and 22 lower body) by referring to previous studies. Body surface was segmented by connecting the landmarks marked on the 3D scan data acquired. Analysis of body surface area was conducted in terms of the change rate of surface area in 9 postures of elbow 0°, 90° and 180° for flexion, shoulder 90°, 180° for flexion, shoulder 0°, 180° for abduction, hip 90° for flexion, and knee 90° for flexion compared to the those in the standing posture. The amount of changes in body surface area were 12%-62% in the upper body, 15%-77% in the arm, and 10%-51% in the lower body. A future study on the rate of change of body surface length is needed; in addition, a study on how to apply the results of body surface area and body surface length analysis to clothing pattern design is also necessary.

Analysis of Foot Shape and Size System of Male High School Students Using 3D Scan Data (3D 스캔 데이터를 활용한 남자 고등학생의 발 형태 및 치수체계 분석)

  • Shin, Yu Jin;Park, Soonjee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.44 no.1
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    • pp.53-67
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    • 2020
  • The purpose of this study is to analyze the foot shape and size specification of male high school students. 3D modeling programs such as 'Artec Studio', 'CATIA', and 'Auto CAD' measured the 3D scan data of 361 male high school students provided by KATS. Through principal factor analysis, 10 factors were extracted, including foot length, medial-lateral ratio, and foot length ratio. As the result of the cluster and ANOVA with post-hoc test (Duncan method), the differences among types were clarified. Type 1 (24.7%) represented outward medial-lateral ratio (M-L ratio) with the lowest instep, ankle and little deformed first toe. Type 2 (41.8%) was characterized by the shortest, even M-L ratio, thin ankle and heel, the highest instep and ankle. Type 3 (33.5%) showed the longest, inward M-L ratio, thick ankle and heel, and deformed first toe. As the cross-tabulation of foot length and ball circumference, 17.2 percent was not covered by KS standard; in addition, the foot length was longer than the KS standard. The correlation analysis of key dimensions showed that foot length and ball circumference were highly correlated with other items; therefore, regression equations were derived to estimate other foot measurements using these two items as independent variables.

2D Pattern Development of Body Surface from 3D Human Scan Data Using Standing and Cycling Postures (3D 스캔을 이용한 사이클 동작 전후 체표 변화 고찰 및 2D 전개 패턴의 비교)

  • Jeong, Yeonhee;Lee, Yejin
    • Korean Journal of Human Ecology
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    • v.21 no.5
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    • pp.975-988
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    • 2012
  • Although the pattern development for tight-fitting clothing has been carried out using 3D data on humans, the pattern development using 3D scan data obtained for various postures still remains an interesting subject. In this study, we have developed the 2D pattern using the 3D human body reflecting standing and cycling postures. The 3D scan data of a subject was obtained using Cyberware. 2C-AN program(Triangle simplification and the Runge-Kutta method) was used in the system to reduce the 3D scan data points and to make segmented triangular patches in a plane from 3D data. As results, surface distance and area of each body part of standing and cycling postures were also provided for the future application of the functional clothing construction. The area of center piece on the front (c.front) decreased by $106.45cm^2$(-13.08%) and that of lateral piece(s.back) on the back increased by $144.96cm^2$(18.69%) in the patterns of cycling posture. The girth of neck and waist for the cycling posture increased by 0.88cm (3.92%) and 1.56cm(4.40%) respectively, and the that of thigh decreased by 1.01cm(-2.24%). The differences between the area in the 2D pattern obtained from the 3D scan data and that in the 3D scan surface data for standing and cycling postures were very small($-10.34cm^2$(-0.32%) and $-44.33cm^2$(-1.32%)).

Analysis of non-extension line on upper body using 3D scanning (3차원 스캔을 활용한 상체 피부표면의 Non-extension line 분석)

  • Choe, Ji-Yeong;O, Yeom-Gun;Hong, Gyeong-Hui;Seo, Hye-Won;Kim, Si-Jo
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2009.05a
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    • pp.239-242
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    • 2009
  • 최근 3 차원 측정 기술을 활용한 운동 기능성의 향상을 위한 연구가 활발히 진행되고 있다. 그 예로 3 차원 인체 정보를 이용한 의복패턴 제작 시에 필요한 절개선으로 피부상에서 동작 시 늘어나지 않는 선(Lines of Non-Extension, LoNE)을 찾아내어 활용한 연구가 발표된 바 있다. 이러한 LoNE 은 기존 의복구성을 위한 봉제선이나 기능선으로 활용될 때 동작기능성을 저해하지 않는 특징이 있다. 이에 본 연구에서는 스포츠웨어에서 활동성이 큰 상체의 어깨부위에서 Lines of Non-Extension 을 탐색하고자 하였다. 연구 방법으로는 20 대 후반 남성 2 명을 대상으로 체표의 등 부분에서 3cm 간격으로 계측점을 표시한 후 3D 인체 데이터 (Cyberware, WB)를 획득하였다. 측정시의 자세는 팔을 $30^{\circ}$, $90^{\circ}$, $135^{\circ}$, $180^{\circ}$ 외전시켰다. 피부 표면에서의 길이 변화는 구획의 크기를 달리하면서 가로, 세로, 사선방향으로 동작에 따라서 측정하였다. 변화량은 정자세($30^{\circ}$)를 기준으로 A 라 하였을 때, 기준자세와의 차이가 가장 큰 변화량을 보인 자세를 B 라 하고 A 와 B 간의 차이로 계산하였다. 연구결과, NASA 의 Biosuit 에서 소개된 Iberall(1970)의 LoNE 중 진동둘레를 포함한 팔 부위와 등, 어깨 부위에서 유사한 라인을 찾았다. 본 연구에서와 같이 구획별 사선방향 피부 변화량을 측정하는 것은 피부면에 숨겨진 인간공학적 의복 기능선을 탐색하는 데 효과적임을 확인하였다.

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A Study of Elementary School Students' Feet Growth by 3D Scan Data (3차원 스캔 데이터에 의한 초등학생의 발 성장에 관한 연구)

  • Lee, Jeong-Eun;Do, Wol-Hee
    • Fashion & Textile Research Journal
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    • v.16 no.6
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    • pp.935-944
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    • 2014
  • This study was about to investigate the characteristics of elementary school students' feet growth, comparing and analyzed the measured values and the index values of 3D scan data. As the results from analyzing the measured values, the all measurement items excluding 'Toe 5 angle' showed some significant differences among the age classes, knowing that the elementary school students' feet were continually grown. Although, the items of length, thickness, width, height and circumference indicate some rapid growth of feet at 11 years old, but it appears slowing growth of 'Foot width' after the age of 11 years old. The angle item didn't show any sequential differences according to ages. As the results from analyzing the index values, the children in higher grades have longer 'Toe 5', thicker ankles, wider and thicker the superior part of feet than the children in lower grades. For the superior and the middle part of feet were lowly raised, their Arch height was low and thick. The inferior part of feet showed narrow width and higher height. Giving that the Medial ball width was wide and the Toe 1 angle is high for the children in higher grades, it is expected that the Metatarsophalangeal I might be more projected than that of children in lower grades. Likewise, knowing that the male students' feet shape was bigger than female students' feet from the result that the male students' index values were higher.

Classification of Breast Shape of Women Aged 11~15 Using 3D Body Scan Data (3D 인체 스캔 데이터를 이용한 11~15세 성장기 여성의 유방형태에 따른 유형 분류)

  • Han, Tingting;Song, Hwa Kyung;Lee, Kyu Sun
    • Fashion & Textile Research Journal
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    • v.19 no.6
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    • pp.786-794
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    • 2017
  • The purpose of this study is to analyze and classify breast shape of women aged 11~15 using 3D body scan data. In this study, 250 women's body scans were selected from the 6th Size Korea dataset, and 30 items from each of the scan were measured using RapidForm XOR 3 program. The principal component analysis and cluster analysis were conducted using statistical program SPSS 17.0. The five principal components were identified; breast drooping and breast capacity, size from chest to under bust area, breast protrusion, breast height, and under breast angle & outer distance of breast. As the results of cluster analysis, woman's breast types were classified into four types. The breast type 1 was protrusion type (25.1%) which is considered as the breast maturity stage. The breast type 2 had the most drooped breast covering a large area (20.2%). The breast type 3 had the least prominent breast with a highest nipple point, which was considered as the early breast development stage (38.9%). The breast type 4 had the obesity of the chest and breast circumferences with the slightly prominent and the least drooped breast (15.8%). This study can provide fundamental information to develop sizing system and brassiere pattern for junior girls.

Classification of Sole Types for Female High School Students by 2D scan data (2D 데이터에 의한 여고생의 발바닥 유형 분석)

  • Lee, Jeong-Eun;Do, Wol-Hee
    • Fashion & Textile Research Journal
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    • v.15 no.6
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    • pp.977-984
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    • 2013
  • This study classified the type of sole for female high school students and analyzed the characteristics of each type by the shape of the sole (plantar view) using 2D scan data. The data were collected from a foot anthropometry of 310 female high school students in Gwangju and Jeollanam-do. Left feet and right feet were measured indirectly by using flatbed scanner. The sole anthropometric measurements consisted of 24 items. The results of the investigation into the differences between left and right feet soles by the 2D measurements data indicated that there was no significant statistical differences in the length of items. The left sole had higher values than right sole in the width items and angle items; however, the lateral side of the right feet projected to the outside more often than left feet. In analyzing foot sole of female high school students, the shapes of sole were classified into three types. Type 1(41.94%), Type 2(36.77%), Type 3(21.29%). The most characteristic sole type for female high school students was Type 1. Type 1 referred to a narrow foot width with little or no curvature of the toe. Type 2 represented the longest foot, with foot width shown as a spacious and distinctive feature in width at the medial area of the foot. Type 3 represented the shortest and widest of ball width, gathered inside toe 5, and lateral side as the most projected among the three types.

Upper Back Somatotype Analysis for Development of Hanbok Jeogori Pattern of Female in Late 20s (20대 후반 성인 여성의 한복 저고리 패턴 개발을 위한 상반신 뒷면의 체형 분석)

  • Eom, Ran-I;Lee, Yejin
    • Korean Journal of Human Ecology
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    • v.23 no.5
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    • pp.891-904
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    • 2014
  • The objective of this study is to classify somatotypes of back-surface shape of women in their late 20s by using 3D body scan data(Size Korea 2010) in order to improve fitness of Hanbok Jeogori. The results were as follows: 1. According to the in-depth survey of the experienced expert's interview, most problems related to the fit were caused by the back area of Jeogori. 2. The result of factor analysis indicated that 6 factors were extracted and those factors comprised 82.85% of total variance. 3. According to the cluster analysis, back somatotypes of women in their late 20s were categorized by two types : straight type(54.1%) and bending type(46.9%). The results could be used as the Hanbok Jeogori to improve the fitness of back-surface shape.

Pattern Development using the Curvature Plot of 3D Human Scan Data (3차원 인체의 곡률분포를 이용한 패턴 전개)

  • Jeong, Yeon-Hee;Hong, Kyung-Hi
    • Journal of the Korean Society of Clothing and Textiles
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    • v.32 no.9
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    • pp.1478-1486
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    • 2008
  • The human body composed of concave and convex curvatures, and the current 3D scanning technology which involves inherent measurement errors make it difficult to extract distinct curvature plot directly. In this study, a method of extracting the clear curvature plot and its application to the cycling pants design were proposed. We have developed the ergonomic pattern from the 3D human body reflecting cycling posture. For the ergonomic design line on the 3D human body, the 3D information on the lower part of four male bodies with flexed posture was analyzed. The 3D scan data of four subjects were obtained using Cyberware. As results, the iteration of the tessellated shell was executed 100 times to obtain optimized curvature plots of the muscles on the body surface, and the boundaries of the curvature plots were applied to the design lines. Maximum(Max-pattern) and mean curvature plots(Mean-pattern) were adopted in the design line of the cycling pants, and performance of those lines was compared with that of conventional princess line(Con-pattern). The average error of total area and length in the 2D pattern developed from the 3D flexed body surface in this study were very minimal($4.58cm^2$(0.19%) and 0.15mm(0.46%)), which was within the range of tolerable limits in clothing production. The pattern obtained from the flexed body reflecting cycling posture already included the contraction and extension of the cycling skin, so that the extra ease for movement and good fit was not need to be considered.

Synthesis of Human Body Shape for Given Body Sizes using 3D Body Scan Data (3차원 스캔 데이터를 이용하여 임의의 신체 치수에 대응하는 인체 형상 모델 생성 방법)

  • Jang, Tae-Ho;Baek, Seung-Yeob;Lee, Kun-Woo
    • Korean Journal of Computational Design and Engineering
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    • v.14 no.6
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    • pp.364-373
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    • 2009
  • In this paper, we suggest the method for constructing parameterized human body model which has any required body sizes from 3D scan data. Because of well developed 3D scan technology, we can get more detailed human body model data which allow to generate precise human model. In this field, there are a lot of research is performed with 3D scan data. But previous researches have some limitations to make human body model. They need too much time to perform hole-filling process or calculate parameterization of model. Even more they missed out verification process. To solve these problems, we used several methods. We first choose proper 125 3D scan data from 5th Korean body size survey of Size Korea according to age, height and weight. We also did post process, feature point setting, RBF interpolation and align, to parameterize human model. Then principal component analysis is adapted to the result of post processed data to obtain dominant shape parameters. These steps allow to reduce process time without loss of accuracy. Finally, we compare these results and statistical data of Size Korea to verify our parameterized human model.