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A Genetic Algorithm Approach to Identify Virtual Object Properties for Sharing the Feel from Virtual Environments

  • Yongyao YanEmail author
  • Greg S. Ruthenbeck
  • Karen J. Reynolds
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8619)

Abstract

Haptics has provided people with new computer interaction styles across a range of applications. However, it is difficult to share haptic experiences from haptic virtual environments (HVEs). In this paper, we introduce a genetic algorithm (GA) approach, which is used to identify the virtual object’s properties (e.g. stiffness, friction coefficient and geometry parameters) based on haptic recordings, so that the haptic rendering can be reproduced without requiring the original HVE software to be deployed.

Keywords

Virtual environment Haptic recording Genetic algorithm 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Yongyao Yan
    • 1
    • 2
    Email author
  • Greg S. Ruthenbeck
    • 1
    • 2
  • Karen J. Reynolds
    • 1
    • 2
  1. 1.The Medical Device Research InstituteFlinders UniversityAdelaideAustralia
  2. 2.School of Computer Science, Engineering and MathematicsFlinders UniversityAdelaideAustralia

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