Upper body reach posture prediction for ergonomic evaluation models

Eui Seung Jung, Dohyung Kee, Min K. Chung

Research output: Contribution to journalArticle

79 Citations (Scopus)

Abstract

Proper assessment of human reach posture is one of the essential functions for ergonomic workspace design and evaluation in computer-aided ergonomic evaluation models or any CAD system with a built-in man model. To predict reach posture, most existing models have been using heuristic methods, which provide only the range of feasible postures, not always ensuring the one that a person naturally takes. An analytic reach prediction algorithm was developed in this study by employing the inverse kinematics methods. Each upper limb is modelled as a four-link system, consisting of trunk, upper arm, lower arm, and hand, being regarded as a redundant manipulator with a total of eight degrees of freedom. Among several kinematic methods for solving human reach movement, the resolved motion method which is one of the redundant manipulator techniques in robotics was found to be effective. In this method, the joint range availability was used as a performance function to guarantee kinematic optimality and to simulate human reach closely. In addition, an approximate algorithm to generate the workspaces of human body was developed. Real reach postures taken from the subjects were analyzed by the motion analysis system and were statistically similar to those obtained from the prediction model.

Original languageEnglish
Pages (from-to)95-107
Number of pages13
JournalInternational Journal of Industrial Ergonomics
Volume16
Issue number2
Publication statusPublished - 1995 Aug 1
Externally publishedYes

    Fingerprint

Keywords

  • Ergonomic evaluation models
  • Inverse kinematics
  • Reach prediction
  • Workspace

ASJC Scopus subject areas

  • Human Factors and Ergonomics
  • Public Health, Environmental and Occupational Health
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

Cite this