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Simon J. Bennett
Researcher at Liverpool John Moores University
Publications - 159
Citations - 5330
Simon J. Bennett is an academic researcher from Liverpool John Moores University. The author has contributed to research in topics: Body movement & Smooth pursuit. The author has an hindex of 35, co-authored 154 publications receiving 4901 citations. Previous affiliations of Simon J. Bennett include Manchester Metropolitan University & Control Group.
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Journal ArticleDOI
Goal-Directed Aiming: Two Components but Multiple Processes.
Digby Elliott,Steve Hansen,Lawrence E. M. Grierson,James Lyons,Simon J. Bennett,Spencer J. Hayes +5 more
TL;DR: The model builds on recent variants of Woodworth's (1899) two-component model of speed-accuracy relations in voluntary movement and incorporates ideas about dynamic online limb control based on prior expectations about the efferent and afferent consequences of a planned movement.
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Skill acquisition in sport: Some applications of an evolving practice ecology
TL;DR: A practice strategy that gives greater weight to the guided exploration of the practice workspace jointly defined by the properties of the individual's subsystems, the specific task and the environment is advocated, which supersedes previous distinctions between rudimentary and voluntary skills.
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Visual search and biological motion perception in tennis.
TL;DR: Biological motion displays provide an example of minimal information, isolating kinematic information from "pictorial" cues via the presentation of human motion in point-light form via the Presentation of human movement patterns presented using pointlight displays.
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Vertical jump coordination: fatigue effects.
TL;DR: It was suggested that the neural input used in the fatigued condition did not constitute an optimal solution and may have played a role in decreasing maximal jump height achievement.
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Research design and statistics in biomechanics and motor control.
TL;DR: This review paper considers some key issues in research methods in biomechanics and motor control, including selection of trial sizes, effect size statistics, qualitative and numerical trend analysis and cross-correlations, and reporting checks or corrections for violations of underpinning assumptions.