Local versus global optimal sports techniques in a group of athletes

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

Type de document :

Article dans une revue scientifique: Article original

DOI :

10.1080/10255842.2013.849341

URL permanente :

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

Titre :

Local versus global optimal sports techniques in a group of athletes

Auteur(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]

Titre de la revue :

Computer Methods in Biomechanics and Biomedical Engineering

Nom court de la revue :

Computer Methods in Biomechanics and Biomedical Engineering

Numéro :

Pagination :

829-838

Éditeur :

Informa UK Limited

Date de publication :

2013-10-25

ISSN :

1025-5842

Mot(s)-clé(s) en anglais :

simulation
optimization
algorithms
gymnastics
technique

Discipline(s) HAL :

Sciences du Vivant [q-bio]

Résumé en anglais : [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. ...
Lire la suite >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.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

Autres travaux scientifiques

Date de dépôt :

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

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Local vs global optimal sports techniques CMBBE 2013.pdf
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Numéro de version	Lien	Date de modification
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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