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Multibody System Dynamics

, Volume 44, Issue 1, pp 1–29 | Cite as

Skeletal-level control-based forward dynamic analysis of acquired healthy and assisted gait motion

  • F. Mouzo
  • U. Lugris
  • R. Pamies-Vila
  • J. Cuadrado
Article

Abstract

Gait analysis is commonly addressed through inverse dynamics. However, forward dynamics can be advantageous when descending to muscular level, as it allows activation and contraction equations to be integrated with motion thus providing better dynamic consistency, or when studying assisted gait, as it enables the estimation of the interaction forces between subject and devices even if the motion capture process doesn’t provide enough resolution to distinguish the motions of limb and device. Control-based methods seem to be the most natural choice to carry out the forward-dynamics analysis of an acquired gait, but several options exist in their application. The paper explores such options for healthy and assisted gait, and concludes that the computed torque control of all the subject’s degrees of freedom is the alternative that provides the most accurate results. Moreover, the study of its more problematic underactuated variant accompanied by contact models showed to be connected to neighbor challenging topics as gait prediction or walking simulation of humanoids.

Keywords

Multibody dynamics Human models Gait simulation Forward dynamics Underactuated systems Contact models Assistive devices 

Notes

Compliance with Ethical Standards

Research involving human participants: This study was approved by the institutional ethical committee.

Informed consent: All participants in the experiments gave their informed consent.

Funding: This study was funded by the Spanish Ministry of Economy and Competitiveness (MINECO) under project DPI2015-65959-C3-1-R, cofinanced by the European Union through EFRD program.

Conflict of interest: J. Cuadrado is a member of the Editorial Board of the journal Multibody System Dynamics. The remaining authors have no conflict of interest.

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Escuela Politecnica SuperiorUniversity of La CoruñaFerrolSpain
  2. 2.Dept. of Mechanical EngineeringUniversitat Politecnica de CatalunyaBarcelonaSpain

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