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Optimization of multiple phase human movements
KTH, School of Engineering Sciences (SCI), Mechanics, Structural Mechanics.
KTH, School of Engineering Sciences (SCI), Mechanics, Structural Mechanics.
KTH, School of Engineering Sciences (SCI), Mechanics, Structural Mechanics.ORCID iD: 0000-0002-5819-4544
(English)In: Multibody system dynamics, ISSN 1384-5640, E-ISSN 1573-272XArticle in journal (Other academic) Submitted
Abstract [en]

When simulating human movements it is frequently desirable to optimize multiple phase movements where the phases represent, e.g., different contact conditions. The different constraints are usually acting in parts of the movements and their time durations are in most cases unknown. Therefore a multiple phase free-time optimization method is formulated in this work, with phase times included as variables. Through a temporal finite element approach, a discrete representation is derived and a nonlinear optimization algorithm solves for the rather high number of variables (∼ 6000) and constraints (∼ 15000) in the presented numerical problem. The method is applied to a test problem and a more realistic problem in order to test some basic aspects as well as to see its performance in its intended applications, biomechanical simulations. First a four degrees of freedom test problem, representing a standing high jump, is solved. Then a sagittal eight degrees of freedom model is used with application to a human backward somersault, including preparing movement, flight phase and landing. The numerical performance as well as some application specific results are discussed. The method description is general and applicable to other movements in its presented format.

National Category
Applied Mechanics
Identifiers
URN: urn:nbn:se:kth:diva-91372OAI: oai:DiVA.org:kth-91372DiVA: diva2:509691
Funder
Swedish Research Council
Note

QS 2012

Available from: 2012-03-13 Created: 2012-03-13 Last updated: 2017-12-07Bibliographically approved
In thesis
1. Simulation of Human Movements through Optimization
Open this publication in new window or tab >>Simulation of Human Movements through Optimization
2012 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Optimization has been used to simulate human neural control and resulting movement patterns. The short term aim was to develop the methodology required for solving the movement optimization problem often arising when modelling human movements. A long term aim is the contribution to increased knowledge about various human movements, wherein postures is one specific case. Simulation tools can give valuable information to improve orthopeadic treatments and technique for training and performance in sports. In one study a static 3D model with 30 muscle groups was used to analyse postures. The activation levels of these muscles are minimized in order to represent the individual’s choice of posture. Subject specific data in terms of anthropometry, strength and orthopedic aids serve as input. The specific aim of this part was to study effects from orthopedic treatment and altered abilities of the subject. Initial validation shows qualitative agreement of posture strategies but further details about passive stiffness and anthropometry are needed, especially to predict pelvis orientation. Four studies dealt with movement optimization. The main methodological advance was to introduce contact constraints to the movement optimization. A freetime multiple phase formulation was derived to be able to analyse movements where different constraints and degrees of freedom are present in subsequent phases of the movements. The athletic long jump, a two foot high jump, a backward somersault and rowing were used as applications with their different need of formulation. Maximum performance as well as least effort cost functions have been explored. Even though it has been a secondary aim in this work the results show reasonable agreement to expected movements in reality. Case specific subject properties and inclusion of muscle dynamics are required to draw conclusions about improvements in the sport activity, respectively.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2012. x, 48 p.
Series
Trita-MEK, ISSN 0348-467X ; 2012:15
Keyword
multibody system, human movements, optimal control, trajectory optimization, long jump, posture, rowing, somersault
National Category
Applied Mechanics
Identifiers
urn:nbn:se:kth:diva-102158 (URN)978-91-7501-472-2 (ISBN)
Public defence
2012-09-28, V2, Teknikringen 76, KTH, Stockholm, 13:00 (English)
Opponent
Supervisors
Note

QC 20120910

Available from: 2012-09-10 Created: 2012-09-10 Last updated: 2012-09-13Bibliographically approved

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Eriksson, Anders

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