Verification of the blobby quaternion model of human joint limits

Szczęsna, Agnieszka

doi:10.1016/j.bspc.2017.07.029

Cited by 4 publications

(1 citation statement)

References 30 publications

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“…To analyse all aspects of movement during gait, all of the information should be processed. The new propositions of quaternion motion analysis tools are widely discussed in [ 23 , 24 , 25 , 26 ].…”

Section: Methodsmentioning

confidence: 99%

Quaternion Entropy for Analysis of Gait Data

Szczęsna

2019

Entropy

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Nonlinear dynamical analysis is a powerful approach to understanding biological systems. One of the most used metrics of system complexities is the Kolmogorov entropy. Long input signals without noise are required for the calculation, which are very hard to obtain in real situations. Techniques allowing the estimation of entropy directly from time signals are statistics like approximate and sample entropy. Based on that, the new measurement for quaternion signal is introduced. This work presents an example of application of a nonlinear time series analysis by using the new quaternion, approximate entropy to analyse human gait kinematic data. The quaternion entropy was applied to analyse the quaternion signal which represents the segments orientations in time during the human gait. The research was aimed at the assessment of the influence of both walking speed and ground slope on the gait control during treadmill walking. Gait data was obtained by the optical motion capture system.

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Section: Methodsmentioning

confidence: 99%

Quaternion Entropy for Analysis of Gait Data

Szczęsna

2019

Entropy

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Human Motion Simulation and Analysis in Microgravity Environment Based on ADAMS

Guo

Yan

et al. 2019

Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018

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An improved methodology to restrict the range of motion of mechanical joints

Rodrigues da Silva,

Marques,

Tavares da Silva

et al. 2024

Nonlinear Dyn

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Joints with rotational degrees of freedom, for instance, revolute, spherical, or universal joints, are commonly utilized in real-world scenarios. In the multibody systems methodology, mechanical joints usually are formulated as classical kinematic constraints such that there is no restriction of the range of motion (RoM) of the joint. Thus, the formulation must include additional restrictions to prevent the joints from performing unacceptable movements and to avoid unrealistic configurations of the connected bodies. Therefore, the aim of this work is to propose a methodology to restrict the RoM of mechanical joints. Joint resistance moments are applied to the bodies connected by the joint to mimic the dissipative behavior of the materials constituent of joints and to prevent unacceptable configurations of those bodies. The proposed methodology aims to extend and improve a previously published study, specifically in the definition of the RoM limits, calculation of the penalty moments, and establishment of their direction of application. Enhanced methods to deal with the detection of unacceptable joint configurations, namely the elliptical and polynomial approaches, are proposed. A parametrization procedure is described to correctly calculate the direction of the penalty moments to apply to the connected bodies. The methodology is investigated in the dynamic modeling and simulation of one demonstrative example of application, namely a simple pendulum. A parametric analysis is performed to assess the influence of the methodology parameters in the response of the model. The methodology allows the correct restriction of the RoM of joints, while preserving the mechanical energy of the system.

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Verification of the blobby quaternion model of human joint limits

Cited by 4 publications

References 30 publications

Quaternion Entropy for Analysis of Gait Data

Quaternion Entropy for Analysis of Gait Data

Human Motion Simulation and Analysis in Microgravity Environment Based on ADAMS

An improved methodology to restrict the range of motion of mechanical joints

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