IE interfaces (산업공학)

Korean Institute of Industrial Engineers (대한산업공학회)
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Evaluation of Predicted Driving Postures in RAMSIS Digital Human Model Simulation

Digital Human Model Simulation을 위한 RAMSIS 추정 운전자세의 정합성 평가 및 개선

  • Park, Jang-Woon (Division of Mechanical and Industrial Engineering, Pohang University of Science and Technology) ;
  • Jung, Ki-Hyo (Division of Mechanical and Industrial Engineering, Pohang University of Science and Technology) ;
  • Chang, Joon-Ho (Department of Industrial and Manufacturing Engineering, The Pennsylvania State University) ;
  • Kwon, Jeong-Ung (Corporate Research and Development Division HYUNDAI-KIA MOTORS) ;
  • You, Hee-Cheon (Division of Mechanical and Industrial Engineering, Pohang University of Science and Technology)
  • 박장운 (포항공과대학교 기계산업공학부) ;
  • 정기효 (포항공과대학교 기계산업공학부) ;
  • 장준호 ;
  • 권정웅 (현대기아자동차 연구개발총괄본부 패키지기술 3팀) ;
  • 유희천 (포항공과대학교 기계산업공학부)
  • Received : 2009.11.14
  • Accepted : 2010.02.01
  • Published : 2010.06.01
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Abstract

For proper ergonomic evaluation using a digital human model simulation (DHMS) system such as $RAMSIS^{(R)}$, 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 ($8.7^{\circ}$ to $74.9^{\circ}$) 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.

Keywords

References

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