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Artificial Neural Networks for Motion Emulation in Virtual Environments

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Modelling and Motion Capture Techniques for Virtual Environments (CAPTECH 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1537))

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Abstract

Simulation of natural human movement has proven to be a challenging problem, difficult to be solved by more or less traditional bio-inspired strategies. In opposition to several existing solutions, mainly based upon deterministic algorithms, a data-driven approach is presented herewith, which is able to grasp not only the natural essence of human movements, but also their intrinsic variability, the latter being a necessary feature for many ergonomic applications. For these purposes a recurrent Artificial Neural Network with some novel features (recurrent RPROP, state neurons, weighted cost function) has been adopted and combined with an original pre-processing step on experimental data, resulting in a new hybrid approach for data aggregation. Encouraging results on human hand reaching movements are also presented.

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Author information

Authors and Affiliations

  1. Dept. of Electronics, Politecnico di Torino, Italy

    Y. Bellan, M. Costa, L. Macchiarulo & E. Pasero

  2. Dept. of Bio-Engineering, Politecnico di Milano, Italy

    G. Ferrigno & C. Rigotti

  3. Dept. of Manufacturing Systems and Economics, Politecnico di Torino, Italy

    F. Lombardi & A. Montuori

Authors
  1. Y. Bellan
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  2. M. Costa
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  3. G. Ferrigno
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  4. F. Lombardi
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  5. L. Macchiarulo
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  6. A. Montuori
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  7. E. Pasero
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  8. C. Rigotti
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Editor information

Editors and Affiliations

  1. Department of Information Systems, University of Geneva, 24 Rue du Général Dufour, CH-1211, Geneva 4, Switzerland

    Nadia Magnenat-Thalmann

  2. Swiss Federal Institute of Technology (EPFL), CH-1015, Lausanne, Switzerland

    Daniel Thalmann

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© 1998 Springer-Verlag Berlin Heidelberg1998

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Bellan, Y. et al. (1998). Artificial Neural Networks for Motion Emulation in Virtual Environments. In: Magnenat-Thalmann, N., Thalmann, D. (eds) Modelling and Motion Capture Techniques for Virtual Environments. CAPTECH 1998. Lecture Notes in Computer Science(), vol 1537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49384-0_7

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  • DOI: https://doi.org/10.1007/3-540-49384-0_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65353-0

  • Online ISBN: 978-3-540-49384-6

  • eBook Packages: Springer Book Archive

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