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Identification of Human Inertia Properties Using a Momentum-Based Approach

This paper presents a momentum-based approach for identifying the barycentric parameters of a human body. The human body is modeled as a multiple rigid-body dynamical system with a tree-type topology using the principle of impulse and momentum. Since the resulting impulse-momentum equations are line... Full description

Journal Title: Journal of Biomechanical Engineering Transactions of the ASME, Oct 1, 2012, Vol.134(10), pp.1-11
Main Author: Lu, Qi
Other Authors: Ma, Ou
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 0148-0731 ; E-ISSN: 1528-8951 ; DOI: 10.1115/1.4007627
Link: http://search.proquest.com/docview/1512323276/?pq-origsite=primo
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title: Identification of Human Inertia Properties Using a Momentum-Based Approach
format: Article
creator:
  • Lu, Qi
  • Ma, Ou
subjects:
  • Mathematical Models
  • Methods
  • Inertia (Mechanics)
  • Momentum
  • Equations
  • Errors
  • Motion
  • Impulse (Physics)
  • Force
  • Multibody Systems
  • Dynamics (Mechanics)
  • Algorithms
ispartof: Journal of Biomechanical Engineering, Transactions of the ASME, Oct 1, 2012, Vol.134(10), pp.1-11
description: This paper presents a momentum-based approach for identifying the barycentric parameters of a human body. The human body is modeled as a multiple rigid-body dynamical system with a tree-type topology using the principle of impulse and momentum. Since the resulting impulse-momentum equations are linear in terms of the unknown barycentric parameters, these parameters can be easily solved using the least-square method or other well-understood solution techniques. The approach does not require measuring or estimating accelerations and internal forces because they do not appear in the impulse-momentum equations and, thus, the resulting identification procedure is less demanding on the measurement and also less sensitive to measurement errors in comparison with other existing methods derived based on Newton-Euler or Lagrangian equations. The momentum-based approach has been studied by dynamics simulations with the consideration of possible measurement errors. The study...
language: eng
source:
identifier: ISSN: 0148-0731 ; E-ISSN: 1528-8951 ; DOI: 10.1115/1.4007627
fulltext: no_fulltext
issn:
  • 01480731
  • 0148-0731
  • 15288951
  • 1528-8951
url: Link


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descriptionThis paper presents a momentum-based approach for identifying the barycentric parameters of a human body. The human body is modeled as a multiple rigid-body dynamical system with a tree-type topology using the principle of impulse and momentum. Since the resulting impulse-momentum equations are linear in terms of the unknown barycentric parameters, these parameters can be easily solved using the least-square method or other well-understood solution techniques. The approach does not require measuring or estimating accelerations and internal forces because they do not appear in the impulse-momentum equations and, thus, the resulting identification procedure is less demanding on the measurement and also less sensitive to measurement errors in comparison with other existing methods derived based on Newton-Euler or Lagrangian equations. The momentum-based approach has been studied by dynamics simulations with the consideration of possible measurement errors. The study...
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descriptionThis paper presents a momentum-based approach for identifying the barycentric parameters of a human body. The human body is modeled as a multiple rigid-body dynamical system with a tree-type topology using the principle of impulse and momentum. Since the resulting impulse-momentum equations are linear in terms of the unknown barycentric parameters, these parameters can be easily solved using the least-square method or other well-understood solution techniques. The approach does not require measuring or estimating accelerations and internal forces because they do not appear in the impulse-momentum equations and, thus, the resulting identification procedure is less demanding on the measurement and also less sensitive to measurement errors in comparison with other existing methods derived based on Newton-Euler or Lagrangian equations. The momentum-based approach has been studied by dynamics simulations with the consideration of possible measurement errors. The study...
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abstractThis paper presents a momentum-based approach for identifying the barycentric parameters of a human body. The human body is modeled as a multiple rigid-body dynamical system with a tree-type topology using the principle of impulse and momentum. Since the resulting impulse-momentum equations are linear in terms of the unknown barycentric parameters, these parameters can be easily solved using the least-square method or other well-understood solution techniques. The approach does not require measuring or estimating accelerations and internal forces because they do not appear in the impulse-momentum equations and, thus, the resulting identification procedure is less demanding on the measurement and also less sensitive to measurement errors in comparison with other existing methods derived based on Newton-Euler or Lagrangian equations. The momentum-based approach has been studied by dynamics simulations with the consideration of possible measurement errors. The study...
doi10.1115/1.4007627
urlhttp://search.proquest.com/docview/1512323276/
date2012-10-01