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A Robust Algorithm for a System Identification Approach to Digital Human Modeling: An Application to Multi-fingered Hand Movement

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Part of the book series:Lecture Notes in Computer Science ((LNISA,volume 4561))

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Abstract

A recent study [2] proposed a forward bio-dynamic model of multi-fingered hand movement. The model employed a physics-based heuristic algorithm for system identification of the model parameters, and succeeded in replicating measured multi-fingered flexion-extension movement. However, while the model itself is general and readily applicable to other bodily movements, the heuristic algorithm required empirical adjustments to initial setups, and was therefore difficult to generalize. This paper introduces a rigorous and more robust parameter estimation algorithm to enhance the intended general modeling approach for digital human movement simulation. The algorithm is demonstrated by solving the same modeling problem posed in [2].

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References

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Authors and Affiliations

  1. University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA

    Kang Li, Sang-Wook Lee & Xudong Zhang

Authors
  1. Kang Li

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  2. Sang-Wook Lee

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  3. Xudong Zhang

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Vincent G. Duffy

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© 2007 Springer-Verlag Berlin Heidelberg

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Li, K., Lee, SW., Zhang, X. (2007). A Robust Algorithm for a System Identification Approach to Digital Human Modeling: An Application to Multi-fingered Hand Movement. In: Duffy, V.G. (eds) Digital Human Modeling. ICDHM 2007. Lecture Notes in Computer Science, vol 4561. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73321-8_19

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