Computerized task risk assessment using digital human modeling based Job Risk Classification Model

  • Authors:
  • Renran Tian;Vincent G. Duffy

  • Affiliations:
  • School of Industrial Engineering, Purdue University, 315 N. Grant Street, West Lafayette, IN 47907-2023, USA;School of Industrial Engineering, Purdue University, 315 N. Grant Street, West Lafayette, IN 47907-2023, USA and Department of Agricultural & Biological Engineering, Purdue University, 225 S. Univ ...

  • Venue:
  • Computers and Industrial Engineering
  • Year:
  • 2011

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Abstract

Different from the classical ergonomics analysis, Virtual Interactive Design methodology relies on manikin movements in virtual environment. This platform has been implemented by researchers to accomplish static ergonomic analyses including Rapid Upper Limb Assessment, NIOSH lifting equation and Static Strength Prediction. However, considering only static posture information limits the capacity of ergonomics analysis. In this study, the methodology of performing dynamic ergonomics analysis based on this Virtual Interactive Design platform is proposed. This environment allows velocity and angular velocity of specified body segments/joints calculated for designed tasks to be used to assess the corresponding risk levels based on Job Risk Classification Model. The motion calculation is completed based on the captured interaction between human participants and virtual workplace/mockup. To evaluate the validity and reliability of this upgraded platform, potential errors are analyzed by comparing outputs from several designed experimental conditions.