AIMC Topic: Athletic Performance
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Auto detecting deliveries in elite cricket fast bowlers using microsensors and machine learning.
Journal of sports sciences
Feb 26, 2020
Cricket fast bowlers are at a high risk of injury occurrence, which has previously been shown to be correlated to bowling workloads. This study aimed to develop and test an algorithm that can automatically, reliably and accurately detect bowling deli...
The impact of different training load quantification and modelling methodologies on performance predictions in elite swimmers.
European journal of sport science
Feb 4, 2020
The use of rolling averages to analyse training data has been debated recently. We evaluated two training load quantification methods (five-zone, seven-zone) fitted to performances over two race distances (50 and 100 m) using four separate longitudin...
Identifying playing talent in professional football using artificial neural networks.
Journal of sports sciences
Jan 15, 2020
The aim of the current study was to objectively identify position-specific key performance indicators in professional football that predict out-field players league status. The sample consisted of 966 out-field players who completed the full 90 minut...
Use of Machine Learning to Model Volume Load Effects on Changes in Jump Performance.
International journal of sports physiology and performance
Oct 14, 2019
PURPOSE: To use an artificial neural network (ANN) to model the effect of 15 weeks of resistance training on changes in countermovement jump (CMJ) performance in male track-and-field athletes.
Predicting centre of mass horizontal speed in low to severe swimming intensities with linear and non-linear models.
Journal of sports sciences
Feb 6, 2019
We aimed to compare multilayer perceptron (MLP) neural networks, radial basis function neural networks (RBF) and linear models (LM) accuracy to predict the centre of mass (CM) horizontal speed at low-moderate, heavy and severe swimming intensities us...
Sprint Assessment Using Machine Learning and a Wearable Accelerometer.
Journal of applied biomechanics
Feb 5, 2019
Field-based sprint performance assessments rely on metrics derived from a simple model of sprinting dynamics parameterized by 2 constants, v and τ, which indicate a sprinter's maximal theoretical velocity and the time it takes to approach v, respecti...
A rule induction framework for the determination of representative learning design in skilled performance.
Journal of sports sciences
Dec 21, 2018
Representative learning design provides a framework for the extent to which practice simulates key elements of a performance setting. Improving both the measurement and analysis of representative learning design would allow for the refinement of spor...
Cocoa flavanol effects on markers of oxidative stress and recovery after muscle damage protocol in elite rugby players.
Nutrition (Burbank, Los Angeles County, Calif.)
Nov 24, 2018
OBJECTIVES: Strenuous exercise can impair athletic performance due to muscular inflammation and oxidative stress. Antioxidants such as cocoa flavanols have been used as a supplement to prevent oxidative stress; however, the benefits of dietary antiox...
Artificial neural networks and player recruitment in professional soccer.
PloS one
Oct 31, 2018
The aim was to objectively identify key performance indicators in professional soccer that influence outfield players' league status using an artificial neural network. Mean technical performance data were collected from 966 outfield players' (mean S...
Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance.
Journal of sports sciences
Oct 11, 2018
Objective assessment of an athlete's performance is of importance in elite sports to facilitate detailed analysis. The implementation of automated detection and recognition of sport-specific movements overcomes the limitations associated with manual ...
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