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      KCI등재

      인간공학적 제품 설계를 위한 3차원 탬플릿 인체 모델의 활용

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      https://www.riss.kr/link?id=A106949622

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      다국어 초록 (Multilingual Abstract)

      Objective: This study aims to provide a comprehensive review of the literature on template model registration technologies and their applications in ergonomic product design. Background: The original 3D scan data of the human body has limitations i...

      Objective: This study aims to provide a comprehensive review of the literature on template model registration technologies and their applications in ergonomic product design.

      Background: The original 3D scan data of the human body has limitations in terms of its applicability due to lacking quality of mesh (e.g., missed scan areas and noise) and inconsistent postures between participants. Template model registration technologies are used to complement the lacking quality of raw 3D scan data in anthropometric research and ergonomic product design.

      Method: A literature review was conducted on 66 papers, which were selected by screening titles and abstracts of papers searched by keywords including template model, template matching, and template registration within ergonomics and computer graphics domains in Scopus.

      Results: A human template model generally consists of five elements: (1) point-cloud and mesh, (2) reference points, (3) skeletal structure of the body, (4) body segment, and (5) skin deformation characteristics. The template model is matched to a target image with a particular size, shape, and posture using a template model registration technology.

      Conclusion: The template model registration technology has a great potential in its applicability to ergonomic design and evaluation of products for a comfortable fit to the human body.

      Application: The template model registration technology can be effectively applied to the establishment of parameterized 3D human body database, automatic measurement of body sizes, analysis of the variation of body shapes, predictive analysis of the body posture, and customized design of a product.

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      목차 (Table of Contents)

      • 1. Introduction
      • 2. State-of-the-Art: Components of Template Model
      • 3. Template Model Registration
      • 4. Applications of Template Model
      • 5. Discussion
      • 1. Introduction
      • 2. State-of-the-Art: Components of Template Model
      • 3. Template Model Registration
      • 4. Applications of Template Model
      • 5. Discussion
      • References
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      참고문헌 (Reference)

      1 정기효, "가상 환경 상의 헬리콥터 조종실 설계를 위한 정량적인 인간공학적 평가 방법 개발" 대한인간공학회 29 (29): 203-210, 2010

      2 Peng Li, "Three-dimensional (3D) Analysis of Knee Shape for Designing a Knee-pad" Elsevier BV 3 : 3689-3693, 2015

      3 Brett Allen, "The space of human body shapes" Association for Computing Machinery (ACM) 22 (22): 587-594, 2003

      4 Biber, P., "The normal distributions transform : a new approach to laser scan matching" 2743-2748, 2003

      5 Korean Agency for Technology and Standards (KATS), "The Report on the 6th Size-Korea (Korean Body Measurement and Investigation), Size Korea" Ministry of Knowledge Economy 2010

      6 Korean Agency for Technology and Standards (KATS), "The Report on the 5th Size-Korea (Korean Body Measurement and Investigation), Size Korea" Ministry of Knowledge Economy 2004

      7 Luximon, Y., "The 3D Chinese head and face modeling" 44 (44): 40-47, 2012

      8 Yang, Y., "Semantic parametric reshaping of human body models" 41-48, 2014

      9 Tong, J., "Scanning 3D full human bodies using kinects" 18 (18): 643-650, 2012

      10 Matthew Loper, "SMPL: A skinned multi-person linear model" Association for Computing Machinery (ACM) 34 (34): 1-16, 2015

      1 정기효, "가상 환경 상의 헬리콥터 조종실 설계를 위한 정량적인 인간공학적 평가 방법 개발" 대한인간공학회 29 (29): 203-210, 2010

      2 Peng Li, "Three-dimensional (3D) Analysis of Knee Shape for Designing a Knee-pad" Elsevier BV 3 : 3689-3693, 2015

      3 Brett Allen, "The space of human body shapes" Association for Computing Machinery (ACM) 22 (22): 587-594, 2003

      4 Biber, P., "The normal distributions transform : a new approach to laser scan matching" 2743-2748, 2003

      5 Korean Agency for Technology and Standards (KATS), "The Report on the 6th Size-Korea (Korean Body Measurement and Investigation), Size Korea" Ministry of Knowledge Economy 2010

      6 Korean Agency for Technology and Standards (KATS), "The Report on the 5th Size-Korea (Korean Body Measurement and Investigation), Size Korea" Ministry of Knowledge Economy 2004

      7 Luximon, Y., "The 3D Chinese head and face modeling" 44 (44): 40-47, 2012

      8 Yang, Y., "Semantic parametric reshaping of human body models" 41-48, 2014

      9 Tong, J., "Scanning 3D full human bodies using kinects" 18 (18): 643-650, 2012

      10 Matthew Loper, "SMPL: A skinned multi-person linear model" Association for Computing Machinery (ACM) 34 (34): 1-16, 2015

      11 Dragomir Anguelov, "SCAPE" Association for Computing Machinery (ACM) 24 (24): 408-416, 2005

      12 von Marcard, T., "Recovering Accurate 3D Human Pose in the Wild Using IMUs and a Moving Camera" 614-631, 2018

      13 Seung-Yeob Baek, "Parametric human body shape modeling framework for human-centered product design" Elsevier BV 44 (44): 56-67, 2012

      14 Amberg, B., "Optimal step nonrigid ICP algorithms for surface registration" 1491-1498, 2007

      15 Tsoli, A., "Model-based anthropometry : Predicting measurements from 3D human scans in multiple poses" 2014

      16 Matthew Loper, "MoSh: Motion and shape capture from sparse markers" Association for Computing Machinery (ACM) 33 (33): 1-13, 2014

      17 Jung, H., "Measurement and analysis of internal shape deformation of power grip by wrist motion" 2018

      18 Hesse, N., "Learning an Infant Body Model from RGB-D Data for Accurate Full Body Motion Analysis" 792-800, 2018

      19 Johnson, H. J., "Landmark and Intensity-Based, Consistent Thin-Plate Spline Image Registration" 329-343, 2001

      20 Bogo, F., "Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image" 561-578, 2016

      21 Zhengyou Zhang, "Iterative point matching for registration of free-form curves and surfaces" Springer Science and Business Media LLC 13 (13): 119-152, 1994

      22 Liang, S., "Improved detection of landmarks on 3D human face data" 6482-6485, 2013

      23 Ziqing Zhuang, "Head-and-face shape variations of U.S. civilian workers" Elsevier BV 44 (44): 775-784, 2013

      24 J.C. Liu, "Facial landmark automatic identification from three dimensional (3D) data by using Hidden Markov Model (HMM)" Elsevier BV 57 : 10-22, 2017

      25 Bogo, F., "FAUST: Dataset and evaluation for 3D mesh registration" 3794-3801, 2014

      26 Golyanik, V., "Extended coherent point drift algorithm with correspondence priors and optimal subsampling" 1-9, 2016

      27 Chih-Hsing Chu, "Exemplar-based statistical model for semantic parametric design of human body" Elsevier BV 61 (61): 541-549, 2010

      28 Lee, W., "Estimation of Facial Contact Pressure Based on Finite Element Analysis" 657-667, 2020

      29 Javier Romero, "Embodied hands: modeling and capturing hands and bodies together" Association for Computing Machinery (ACM) 36 (36): 1-17, 2017

      30 Gerard Pons-Moll, "Dyna: A model of dynamic human shape in motion" Association for Computing Machinery (ACM) 34 (34): 1-14, 2015

      31 Li, P., "Digital human modeling pipeline with a 3D anthropometry database" 2017

      32 Endo, Y., "Dhaiba : Development of virtual ergonomic assessment system with human models" 2014

      33 Baekhee Lee, "Development of a distributed representative human model generation and analysis system (DRHM-GAS): Application to optimization of flight suit and pilot oxygen mask sizing systems" Elsevier BV 72 : 261-271, 2019

      34 이원섭, "Development of a Comprehensive Usability Testing and Analysis Framework for the Physical Interface Between Product and User" 대한인간공학회 30 (30): 331-338, 2011

      35 Alfredo Ballester, "Data-driven three-dimensional reconstruction of human bodies using a mobile phone app" Inderscience Publishers 1 (1): 361-388, 2016

      36 Shu, C., "Data processing and analysis for the 2012 Canadian Forces 3D anthropometric survey" 3745-3752, 2015

      37 Peng Guan, "DRAPE: DRessing Any PErson" Association for Computing Machinery (ACM) 31 (31): 1-10, 2012

      38 Reed, M. P., "Creating custom human avatars for ergonomic analysis using depth cameras" 58 (58): 1590-1594, 2014

      39 Hirshberg, D. A., "Coregistration: simultaneous alignment and modeling of articulated 3d shape" Springer-Verlag 242-255, 2012

      40 Pengcheng Xi, "Consistent parameterization and statistical analysis of human head scans" Springer Science and Business Media LLC 25 (25): 863-871, 2009

      41 Wonsup Lee, "Comparison of a semiautomatic protocol using plastering and three-dimensional scanning techniques with the direct measurement protocol for hand anthropometry" Wiley 27 (27): 138-146, 2017

      42 Robinette, K. M., "Civilian American and European Surface Anthropometry Resource (CAESAR) Final Report, Volume I: Summary" Human Effectiveness Directorate, Crew System Interface Division 2002

      43 Zouhour Ben Azouz, "Characterizing human shape variation using 3D anthropometric data" Springer Science and Business Media LLC 22 (22): 302-314, 2006

      44 Leonid Pishchulin, "Building statistical shape spaces for 3D human modeling" Elsevier BV 67 : 276-286, 2017

      45 Alec Jacobson, "Bounded biharmonic weights for real-time deformation" Association for Computing Machinery (ACM) 57 (57): 99-106, 2014

      46 Perceiving Systems Department at Max Planck Institute for Intelligent Systems, "Body Visualizer"

      47 Tamal K. Dey, "Automatic posing of a meshed human model using point clouds" Elsevier BV 46 : 14-24, 2015

      48 Wonsup Lee, "Application of massive 3D head and facial scan datasets in ergonomic head-product design" Inderscience Publishers 1 (1): 344-360, 2016

      49 Lee, W., "Application of 3D body scan data for ergonomic product design : Methods, research cases, and further study" 2019

      50 Breidt, M., "Appealing female avatars from 3D body scans : Perceptual effects of stylization" 333-343, 2016

      51 Wonsup Lee, "Anthropometric analysis of 3D ear scans of Koreans and Caucasians for ear product design" Informa UK Limited 61 (61): 1480-1495, 2018

      52 Wonsup Lee, "Analysis of the facial measurements of Korean Air Force pilots for oxygen mask design" Informa UK Limited 56 (56): 1451-1464, 2013

      53 Lee, W., "Analysis methods of the variation of facial size and shape based on 3D face scan images" 2017

      54 Shuaiyin Zhu, "An efficient human model customization method based on orthogonal-view monocular photos" Elsevier BV 45 (45): 1314-1332, 2013

      55 Lee, W., "A shape-based sizing system for facial mask design" 2017

      56 A. Nerot, "A principal component analysis of the relationship between the external body shape and internal skeleton for the upper body" Elsevier BV 49 (49): 3415-3422, 2016

      57 P.J. Besl, "A method for registration of 3-D shapes" Institute of Electrical and Electronics Engineers (IEEE) 14 (14): 239-256, 1992

      58 Yan Luximon, "A design and evaluation tool using 3D head templates" CAD Solutions, LLC 13 (13): 153-161, 2015

      59 Roger Ball, "A comparison between Chinese and Caucasian head shapes" Elsevier BV 41 (41): 832-839, 2010

      60 Wonsup Lee, "A 3D anthropometric sizing analysis system based on North American CAESAR 3D scan data for design of head wearable products" Elsevier BV 117 : 121-130, 2018

      61 Ballester, A., "3D-based resources fostering the analysis, use, and exploitataion of available body anthropometric data" 2014

      62 Lee, W., "3D scan to product design : Methods, techniques, and cases" 2015

      63 Das, A., "3D scan registration using the Normal Distributions Transform with ground segmentation and point cloud clustering" 2207-2212, 2013

      64 Zhang, D. Y., "3D Human shape reconstruction from photographs based template model" 1465-1468, 2008

      65 Gordon, C. C., "2012 Anthropometric Survey of U.S. Army Personnel: Methods and Summary Statistics" U.S. Army Natick Research, Development and Engineering Center 2012

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      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
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      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2005-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2004-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2003-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2002-01-01 평가 등재후보 1차 FAIL (등재후보1차) KCI등재후보
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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.1 0.1 0.14
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.15 0.19 0.306 0.02
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