AIMC Topic: Athletic Performance
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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...
Evaluation of tactical training in team handball by means of artificial neural networks.
Journal of sports sciences
May 21, 2016
While tactical performance in competition has been analysed extensively, the assessment of training processes of tactical behaviour has rather been neglected in the literature. Therefore, the purpose of this study is to provide a methodology to asses...
A minimum attention control law for ball catching.
Bioinspiration & biomimetics
Oct 6, 2015
Digital implementations of control laws typically involve discretization with respect to both time and space, and a control law that can achieve a task at coarser levels of discretization can be said to require less control attention, and also reduce...
Influence of recovery intensity on oxygen demand and repeated sprint performance.
The Journal of sports medicine and physical fitness
Sep 11, 2015
BACKGROUND: This study aimed to determine effects of recovery intensity (passive, 20%, 30% and 40% V̇O2peak) on oxygen uptake kinetics, performance and blood lactate accumulation during repeated sprints.
A Method for Using Player Tracking Data in Basketball to Learn Player Skills and Predict Team Performance.
PloS one
Sep 9, 2015
Player tracking data represents a revolutionary new data source for basketball analysis, in which essentially every aspect of a player's performance is tracked and can be analyzed numerically. We suggest a way by which this data set, when coupled wit...
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