How boxers decide to punch a target: Emergent behaviour in nonlinear dynamical movement systems
(Wie sich Boxer entscheiden auf ein Ziel zu schlagen: Verhalten in nicht-linearen dynamischen Bewegungssystemen)
Previous research has shown how dynamical systems theory provides a relevant framework for investigating decision-making behavior in sport. The aim of this study was to adopt concepts and tools from nonlinear dynamics in examining effects of boxer-target distance and perceived punching efficiency on emergent decision-making during a typical practice task in boxing. Results revealed the existence of critical values of scaled distances between boxers and targets for first time appearance and disappearance of a diverse range of boxing actions including jabs, hooks and uppercuts. Reasons for the diversity of actions were twofold: i) abrupt (qualitative) changes in the number of the possible punches, i.e. motor solutions to the hitting task; and ii), fine modification of the probabilities of selecting specific striking patterns. Boxers were able to exploit the emerging perception of strikeability, leading to a changing diversity of selected actions and a cascade of abrupt changes in the perceptual-motor work space of the task. Perceived efficiency of a punching action by the participants also changed as a function of the scaled distance to a target and was correlated with the probability of occurrence of specific boxing actions. Accordingly, scaled distance-dependent perceived efficiency seems an important perceptual constraint in the training task of punching a heavy bag in boxers.
© Copyright 2006 Journal of Sports Science & Medicine. Department of Sports Medicine - Medical Faculty of Uludag University. Alle Rechte vorbehalten.
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| Notationen: | Kampfsportarten Trainingswissenschaft |
| Veröffentlicht in: | Journal of Sports Science & Medicine |
| Sprache: | Englisch |
| Veröffentlicht: |
2006
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| Online-Zugang: | http://www.jssm.org/combat/1/10/v5combat-10.pdf |
| Jahrgang: | 5 |
| Seiten: | 60-73 |
| Dokumentenarten: | elektronische Zeitschrift |
| Level: | hoch |