AIMC Topic: Athletic Performance
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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 ...
Effective injury forecasting in soccer with GPS training data and machine learning.
PloS one
Jul 25, 2018
Injuries have a great impact on professional soccer, due to their large influence on team performance and the considerable costs of rehabilitation for players. Existing studies in the literature provide just a preliminary understanding of which facto...
Predicting biathlon shooting performance using machine learning.
Journal of sports sciences
Mar 22, 2018
Shooting in biathlon competitions substantially influences final rankings, but the predictability of hits and misses is unknown. The aims of the current study were A) to explore factors influencing biathlon shooting performance and B) to predict futu...
Effects of carbohydrate mouth rinse and caffeine on high-intensity interval running in a fed state.
Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme
Dec 20, 2017
The current study aims to identify if mouth rinsing with a 6% carbohydrate mouth-rinse (CMR) solution and mouth rinsing and ingestion of caffeine (CMR+CAFF) can affect exercise performance during steady-state (SS) running and high-intensity intervals...
The identification of high potential archers based on fitness and motor ability variables: A Support Vector Machine approach.
Human movement science
Dec 14, 2017
Support Vector Machine (SVM) has been shown to be an effective learning algorithm for classification and prediction. However, the application of SVM for prediction and classification in specific sport has rarely been used to quantify/discriminate low...
IHMC's experience competing in the Cybathlon compared to the DARPA robotics challenge.
Journal of neuroengineering and rehabilitation
Nov 9, 2017
BACKGROUND: As a research scientist, my work tends to focus on scientific investigations. Our group occasionally makes discoveries or has a successful demonstration, and sometimes we can even repeatedly demonstrate something working on the hardware. ...
Monitoring Hitting Load in Tennis Using Inertial Sensors and Machine Learning.
International journal of sports physiology and performance
Feb 9, 2017
CONTEXT: Quantifying external workload is fundamental to training prescription in sport. In tennis, global positioning data are imprecise and fail to capture hitting loads. The current gold standard (manual notation) is time intensive and often not p...
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