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International Conference on Human Haptic Sensing and Touch Enabled Computer Applications

EuroHaptics 2014: Haptics: Neuroscience, Devices, Modeling, and Applications pp 305–312Cite as

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

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Part of the book series: Lecture Notes in Computer Science ((LNISA,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.

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Author information

Authors and Affiliations

  1. The Medical Device Research Institute, Flinders University, Adelaide, Australia

    Yongyao Yan, Greg S. Ruthenbeck & Karen J. Reynolds

  2. School of Computer Science, Engineering and Mathematics, Flinders University, Adelaide, Australia

    Yongyao Yan, Greg S. Ruthenbeck & Karen J. Reynolds

Authors
  1. Yongyao Yan
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  2. Greg S. Ruthenbeck
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  3. Karen J. Reynolds
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Corresponding author

Correspondence to Yongyao Yan .

Editor information

Editors and Affiliations

  1. CNRS, Paris, France

    Malika Auvray

  2. Inria Lille, Villeneuve d'Ascq, France

    Christian Duriez

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© 2014 Springer-Verlag Berlin Heidelberg

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Cite this paper

Yan, Y., Ruthenbeck, G.S., Reynolds, K.J. (2014). A Genetic Algorithm Approach to Identify Virtual Object Properties for Sharing the Feel from Virtual Environments. In: Auvray, M., Duriez, C. (eds) Haptics: Neuroscience, Devices, Modeling, and Applications. EuroHaptics 2014. Lecture Notes in Computer Science(), vol 8619. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44196-1_37

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  • DOI: https://doi.org/10.1007/978-3-662-44196-1_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-44195-4

  • Online ISBN: 978-3-662-44196-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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