Optimization-based Dynamic Human Lifting Prediction

Abstract

In this study, an optimization-based approach for simulating the lifting motion of a three dimensional digital human model is presented. Lifting motion is generated by minimizing a performance measure subjected to basic physical and kinematical constraints. Two performance measures are investigated: one is the dynamic effort; the other is the compression and shear forces on the lumbar joint. The lifting strategies are predicted with different performance measures. The joint strength (torque limit) and the compression and shear force on lumbar joint are also addressed in this study to avoid injury during lifting motion.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2008
Accession Number
ADA542035

Entities

People

  • Anith Mathai
  • Hyun-joon Chung
  • Jasbir S. Arora
  • Jingzhou Yang
  • Joo Kim
  • Rajankumar Bhatt
  • Salam Rahmatalla
  • Steve Beck
  • Timothy Marler
  • Yujiang Xiang

Organizations

  • United States Army Soldier Systems Center

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Collision Avoidance
  • Computer Programming
  • Computers
  • Dynamics
  • Equations
  • Equations Of Motion
  • Integrals
  • Kinematics
  • Nonlinear Programming
  • Optimization
  • Pain
  • Quadratic Programming
  • Simulations
  • Simulators
  • Trajectories

Fields of Study

  • Engineering

Readers

  • Aviation Safety Risk Assessment.
  • Inertial Navigation Systems.
  • Mechanical Engineering/Mechanics of Materials.