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    Digital Human Model Simulation을 위한 RAMSIS 추정 운전자세의 정합성 평가 및 개선 = Evaluation of Predicted Driving Postures in RAMSIS Digital Human Model Simulation

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    https://www.riss.kr/link?id=A100408806

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    For proper ergonomic evaluation using a digital human model simulation (DHMS) system such as RAMSIS<SUP>®</SUP>, the postures of humanoids for designated tasks need to be predicted accurately. The present study (1) evaluated the accuracy of driving postures of humanoids predicted by RAMSIS, (2) proposed a method to improve its accuracy, and (3) examined the effectiveness of the proposed method. The driving postures of 12 participants in a seating buck were measured by a motion capture system and compared with their corresponding postures predicted by RAMSIS. Significant discrepancies (8.7° to 74.9°) between predicted and measured postures were observed for different body parts and driving tasks. Two methods (constraints addition and user-defined posture) were proposed and their effects on posture estimation accuracy were examined. Of the two proposed methods, the user-defined posture method was found preferred, reducing posture estimation errors by 11.5% to 84.9%. Both the posture prediction accuracy assessment protocol and user-defined posture method would be of use for practitioners to improve the accuracy of predicted postures of humanoids in virtual environments.
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    For proper ergonomic evaluation using a digital human model simulation (DHMS) system such as RAMSIS<SUP>®</SUP>, the postures of humanoids for designated tasks need to be predicted accurately. The present study (1) evaluated the accuracy ...

    For proper ergonomic evaluation using a digital human model simulation (DHMS) system such as RAMSIS<SUP>®</SUP>, the postures of humanoids for designated tasks need to be predicted accurately. The present study (1) evaluated the accuracy of driving postures of humanoids predicted by RAMSIS, (2) proposed a method to improve its accuracy, and (3) examined the effectiveness of the proposed method. The driving postures of 12 participants in a seating buck were measured by a motion capture system and compared with their corresponding postures predicted by RAMSIS. Significant discrepancies (8.7° to 74.9°) between predicted and measured postures were observed for different body parts and driving tasks. Two methods (constraints addition and user-defined posture) were proposed and their effects on posture estimation accuracy were examined. Of the two proposed methods, the user-defined posture method was found preferred, reducing posture estimation errors by 11.5% to 84.9%. Both the posture prediction accuracy assessment protocol and user-defined posture method would be of use for practitioners to improve the accuracy of predicted postures of humanoids in virtual environments.

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    목차 (Table of Contents)

    • 1. 서론
    • 2. 평가 방법
    • 3. 평가 결과
    • 4. 토의
    • 참고문헌
    • 1. 서론
    • 2. 평가 방법
    • 3. 평가 결과
    • 4. 토의
    • 참고문헌
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    참고문헌 (Reference)

    1 Loczi, J, "Validation and Application of the 3-D CAD Manikin RAMSIS in Automotive Design" 108 (108): 2307-2314, 1999

    2 Size Korea, "Report on the Fifth Survey of Korean anthropometry"

    3 Speyer,H, "RAMSIS Definition of Anthropometric Measurements" Human Solutions GmbH 2005

    4 Wang,X., "From motion capture to motion simulation, An in-vehicle reach motion database for car design" 115 (115): 1124-1130, 2006

    5 Wampler,J., "Evaluation Method for Simulated Human Motion" United States Air Force Armstrong Laboratory 1997

    6 Mavrikios, D, "Digital humans for virtual assembly evaluation, Digital Human Modeling, HCII2007" 4561 : 939-948, 2007

    7 You,H, "Digital human model simulation for ergonomic design of tangible products and workplaces" 2007

    8 Reed,M.P., "Anthropometric and postural variablity : Limitations of the boundary manikin approach (Technical Paper No. 2000-01-2172)" 109 : 2247-2252, 2000

    9 You,H., "An ergonomic design process for a US transit bus operator workstation" 4 (4): 91-107, 1997

    10 Lämkull, D, "A comparative study of digital human modelling simulation results and their outcomes in reality : A case study within manual assembly of automobiles" 39 (39): 428-441, 2008

    1 Loczi, J, "Validation and Application of the 3-D CAD Manikin RAMSIS in Automotive Design" 108 (108): 2307-2314, 1999

    2 Size Korea, "Report on the Fifth Survey of Korean anthropometry"

    3 Speyer,H, "RAMSIS Definition of Anthropometric Measurements" Human Solutions GmbH 2005

    4 Wang,X., "From motion capture to motion simulation, An in-vehicle reach motion database for car design" 115 (115): 1124-1130, 2006

    5 Wampler,J., "Evaluation Method for Simulated Human Motion" United States Air Force Armstrong Laboratory 1997

    6 Mavrikios, D, "Digital humans for virtual assembly evaluation, Digital Human Modeling, HCII2007" 4561 : 939-948, 2007

    7 You,H, "Digital human model simulation for ergonomic design of tangible products and workplaces" 2007

    8 Reed,M.P., "Anthropometric and postural variablity : Limitations of the boundary manikin approach (Technical Paper No. 2000-01-2172)" 109 : 2247-2252, 2000

    9 You,H., "An ergonomic design process for a US transit bus operator workstation" 4 (4): 91-107, 1997

    10 Lämkull, D, "A comparative study of digital human modelling simulation results and their outcomes in reality : A case study within manual assembly of automobiles" 39 (39): 428-441, 2008

    11 Ryu,T, "A Direct Estimation of Anatomical Landmark Positions from Skin Markers by Identifying the Displacement Relationship" POSTECH 2006

    12 Nemeth,K., "A Comparison of Virtual & Live Human Standing Reach" United States Air Force Armstrong Laboratory 1998

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