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Input Identification Depends on Model Complexity

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Multiple Muscle Systems

Abstract

Biomechanical data are often the best evidence of motor control patterns available. However, the inverse problem in motor control, i.e., to determine the activation of muscles from torques or from kinematics, is made difficult by noise in the data and by imprecision in specifying the operator to be inverted. This chapter addresses the dependence of the inversion process on the operator.

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References

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Authors
  1. Steven L. Lehman
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Editor information

Editors and Affiliations

  1. College of Engineering and Applied Sciences Department of Chemical, Bio., and Materials Engineering, Arizona State University, 85287-6006, Tempe, Arizona, USA

    Jack M. Winters

  2. Department of Surgery Division of Orthopedics and Rehabilitation, University of California at San Diego School of Medicine, 92093, La Jolla, California, USA

    Savio L-Y. Woo

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© 1990 Springer-Verlag

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Lehman, S.L. (1990). Input Identification Depends on Model Complexity. In: Winters, J.M., Woo, S.LY. (eds) Multiple Muscle Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-9030-5_6

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  • DOI: https://doi.org/10.1007/978-1-4613-9030-5_6

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4613-9032-9

  • Online ISBN: 978-1-4613-9030-5

  • eBook Packages: Springer Book Archive

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