Local versus global optimal sports techniques in a group of athletes

Huchez, Aurore; Haering, Diane; Holvoet, Patrice; Barbier, Franck; Begon, Mickael; Barbier, Franck

Document type :

Article dans une revue scientifique: Article original

DOI :

10.1080/10255842.2013.849341

Permalink :

http://hdl.handle.net/20.500.12210/57918

Title :

Local versus global optimal sports techniques in a group of athletes

Author(s) :

Huchez, Aurore [Auteur]

Unité de Recherche Pluridisciplinaire Sport, Santé, Société (URePSSS) - ULR 7369
Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 [LAMIH]
Haering, Diane [Auteur]
Holvoet, Patrice [Auteur]
Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 [LAMIH]
Barbier, Franck [Auteur]
Begon, Mickael [Auteur]
Barbier, Franck [Auteur]

Journal title :

Computer Methods in Biomechanics and Biomedical Engineering

Abbreviated title :

Computer Methods in Biomechanics and Biomedical Engineering

Volume number :

Pages :

829-838

Publisher :

Informa UK Limited

Publication date :

2013-10-25

ISSN :

1025-5842

English keyword(s) :

simulation
optimization
algorithms
gymnastics
technique

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

Various optimization algorithms have been used to achieve optimal control of sports movements. Nevertheless, no local or global optimization algorithm could be the most effective for solving all optimal control problems. ...
Show more >Various optimization algorithms have been used to achieve optimal control of sports movements. Nevertheless, no local or global optimization algorithm could be the most effective for solving all optimal control problems. This study aims at comparing local and global optimal solutions in a multistart gradient-based optimization by considering actual repetitive performances of a group of athletes performing a transition move on the uneven bars. Twenty-four trials by eight nationallevel female gymnasts were recorded using a motion capture system, and then multistart sequential quadratic programming optimizations were performed to obtain global optimal, local optimal and suboptimal solutions. The multistart approach combined with a gradient-based algorithm did not often find the local solution to be the best and proposed several other solutions including global optimal and suboptimal techniques. The qualitative change between actual and optimal techniques provided three directions for training: to increase hip flexion–abduction, to transfer leg and arm angular momentum to the trunk and to straighten hand path to the bar.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

Autres travaux scientifiques

Submission date :

2021-11-23T18:58:28Z
2022-01-05T08:40:22Z

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Version	Link	Modification date
2	20.500.12210/57918*	2022-01-05T08:28:34Z
1	20.500.12210/57918.1	2021-11-23T18:58:28Z

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