Athletic skill level is reflected in body sway: A test case for accelometry in combination with stochastic dynamics

Lamoth, Claudine J. C.; Lummel, Rob C. van; Beek, Peter J.

doi:10.1016/j.gaitpost.2008.12.006

Cited by 119 publications

(101 citation statements)

References 31 publications

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“…Well-trained gymnasts have been reported to show smaller effects of closing the eyes on balance control than untrained participants (Robertson et al 1994;Vuillerme et al 2001). Although such effects appear not to be very consistent (Asseman et al 2008;Lamoth et al 2009), they do suggest a reduced weighting of visual information after gymnastics training. However, these studies do not necessarily indicate that gymnasts use visual information less when it is available, but rather that they can compensate better for its absence.…”

Section: Sensory Weighting and Trainingmentioning

confidence: 81%

Learning to balance on one leg: motor strategy and sensory weighting

Dieën

Leeuwen

Faber

2015

Journal of Neurophysiology

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van Dieën JH, van Leeuwen M, Faber GS. Learning to balance on one leg: motor strategy and sensory weighting. J Neurophysiol 114: 2967-2982. First published September 23, 2015 doi:10.1152/jn.00434.2015.-We investigated motor and sensory changes underlying learning of a balance task. Fourteen participants practiced balancing on one leg on a board that could freely rotate in the frontal plane. They performed six, 16-s trials standing on one leg on a stable surface (2 trials without manipulation, 2 with vestibular, and 2 with visual stimulation) and six trials on the balance board before and after a 30-min training. Center of mass (COM) movement, segment, and total angular momenta and board angles were determined. Trials on stable surface were compared with trials after training to assess effects of surface conditions. Trials pretraining and posttraining were compared to assess rapid (between trials pretraining) and slower (before and after training) learning, and sensory manipulation trials were compared with unperturbed trials to assess sensory weighting. COM excursions were larger on the unstable surface but decreased with practice, with the largest improvement over the pretraining trials. Changes in angular momentum contributed more to COM acceleration on the balance board, but with practice this decreased. Visual stimulation increased sway similarly in both surface conditions, while vestibular stimulation increased sway less on the balance board. With practice, the effects of visual and vestibular stimulation increased rapidly. Initially, oscillations of the balance board occurred at 3.5 Hz, which decreased with practice. The initial decrease in sway with practice was associated with upweighting of visual information, while later changes were associated with suppression of oscillations that we suggest are due to too high proprioceptive feedback gains.

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Section: Sensory Weighting and Trainingmentioning

confidence: 81%

Learning to balance on one leg: motor strategy and sensory weighting

Dieën

Leeuwen

Faber

2015

Journal of Neurophysiology

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“…Nevertheless, the assertive implementation of these notions requires quantitative methods. Therefore, some nonlinear methods, such as the approximate entropy [10], or the Lyapunov exponents [11], were adopted to study human performance features. It should be highlighted that, contrarily to traditional methods (e.g., standard variation, coefficient of variation), nonlinear methods can provide additional information about the structure of the variability that evolves over time [9].…”

Section: Variability Analysis In Sportmentioning

confidence: 99%

Dynamical Stability and Predictability of Football Players: The Study of One Match

Couceiro

Clemente

Martins

et al. 2014

Entropy

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Abstract:The game of football demands new computational approaches to measure individual and collective performance. Understanding the phenomena involved in the game may foster the identification of strengths and weaknesses, not only of each player, but also of the whole team. The development of assertive quantitative methodologies constitutes a key element in sports training. In football, the predictability and stability inherent in the motion of a given player may be seen as one of the most important concepts to fully characterise the variability of the whole team. This paper characterises the predictability and stability levels of players during an official football match. A Fractional Calculus (FC) approach to define a player's trajectory. By applying FC, one can benefit from newly OPEN ACCESSEntropy 2014, 16 646 considered modeling perspectives, such as the fractional coefficient, to estimate a player's predictability and stability. This paper also formulates the concept of attraction domain, related to the tactical region of each player, inspired by stability theory principles. To compare the variability inherent in the player's process variables (e.g., distance covered) and to assess his predictability and stability, entropy measures are considered. Experimental results suggest that the most predictable player is the goalkeeper while, conversely, the most unpredictable players are the midfielders. We also conclude that, despite his predictability, the goalkeeper is the most unstable player, while lateral defenders are the most stable during the match.

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“…The degree to which individuals rely on this information depends on task difficulty, cognitive load [1], motor skill [2,3], age [4,5] and pathology [6,7]. The integration of sensory inputs for postural control occurs normally without conscious attention and is considered a highly automatic process.…”

Section: Introductionmentioning

confidence: 99%