Motion prediction and inverse dynamics for human upper extremities

Joo Hyun Kim, Karim Abdel-Malek, Jingzhou Yang, Kyle Nebel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Santos™, a digital human avatar developed at The University of Iowa, exhibits extensive modeling and simulation capabilities. Santos™ is a part of a virtual environment for conducting human factors analysis consisting of posture prediction, motion prediction, and ergonomics studies. This paper presents part of the functionality in the Santos™ virtual environment, which is an optimization-based algorithm for simulating dynamic motion of Santos™. The joint torque and muscle power during the motion are also calculated within the algorithm. Mathematical cost functions that evaluate human performance are essential to any effort that would evaluate and compare various ergonomic designs. It is widely accepted that the ergonomic design process is actually an optimization problem with many design variables. This effort is basically a task-based approach that believes humans assume different postures and exert different forces to accomplish different tasks. We propose using the concepts of design variables, cost functions, and constraints to formulate the optimization problem for motion/posture prediction. Various human performance measures are currently being reported in research literature as cost functions for motion/posture optimization. Energy consumption is one of the most widely used human performance measures, where total muscle energy is decomposed as mechanical work and heat. An inverse dynamics problem is formulated by minimizing muscle energy cost subject to several physical and physiological constraints to solve for the joint torques, as well as the joint kinematic profiles. The results of the generalized torque at each joint should be useful in future studies of muscle stress prediction with a given task.

Original languageEnglish (US)
Title of host publication2005 SAE World Congress
DOIs
StatePublished - 2005
Event2005 SAE World Congress - Detroit, MI, United States
Duration: Apr 11 2005Apr 14 2005

Other

Other2005 SAE World Congress
CountryUnited States
CityDetroit, MI
Period4/11/054/14/05

Fingerprint

Muscle
Ergonomics
Cost functions
Torque
Virtual reality
Factor analysis
Human engineering
Kinematics
Energy utilization
Costs

Keywords

  • energy
  • heat
  • human performance measures
  • inverse dynamics
  • motion/posture prediction
  • optimization
  • power

ASJC Scopus subject areas

  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Pollution
  • Industrial and Manufacturing Engineering

Cite this

Kim, J. H., Abdel-Malek, K., Yang, J., & Nebel, K. (2005). Motion prediction and inverse dynamics for human upper extremities. In 2005 SAE World Congress https://doi.org/10.4271/2005-01-1408

Motion prediction and inverse dynamics for human upper extremities. / Kim, Joo Hyun; Abdel-Malek, Karim; Yang, Jingzhou; Nebel, Kyle.

2005 SAE World Congress. 2005.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kim, JH, Abdel-Malek, K, Yang, J & Nebel, K 2005, Motion prediction and inverse dynamics for human upper extremities. in 2005 SAE World Congress. 2005 SAE World Congress, Detroit, MI, United States, 4/11/05. https://doi.org/10.4271/2005-01-1408
Kim, Joo Hyun ; Abdel-Malek, Karim ; Yang, Jingzhou ; Nebel, Kyle. / Motion prediction and inverse dynamics for human upper extremities. 2005 SAE World Congress. 2005.
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