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Paul S. Glazier

Researcher at Sheffield Hallam University

Publications -  52
Citations -  2282

Paul S. Glazier is an academic researcher from Sheffield Hallam University. The author has contributed to research in topics: Sports biomechanics & Coaching. The author has an hindex of 19, co-authored 51 publications receiving 2062 citations. Previous affiliations of Paul S. Glazier include Cardiff Metropolitan University & Queensland University of Technology.

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Movement systems as dynamical systems: The functional role of variability and its implications for sports medicine

TL;DR: It is argued that trial-to-trial movement variations within individuals and performance differences observed between individuals may be best interpreted as attempts to exploit the variability that is inherent within and between biological systems.
Journal Article

Movement systems as dynamical systems : The functional role of variability and its implications for sports medicine

TL;DR: In this paper, it is argued that variability in movement systems helps individuals adapt to the unique constraints (personal, task and environmental) impinging on them across different sizes and timescales.
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Game, set and match? Substantive issues and future directions in performance analysis.

TL;DR: By adopting a constraints-based approach, performance analysis could be effectively opened up to sport scientists from other sub-disciplines of sport science, rather than solely being the preserve of sport biomechanists and notational analysts.
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Towards a Grand Unified Theory of sports performance.

TL;DR: A Grand Unified Theory of sports performance is proposed-and, by elaboration, sports science-based around the constraints framework introduced originally by Newell (1986), suggested that this GUT could be used to foster interdisciplinary research collaborations; break down the silos that have developed in sports science and restore greater disciplinary balance to the field.
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Constraints on the complete optimization of human motion.

TL;DR: It is suggested that it is currently not possible to identify the complete optimal solution for a given motor activity.