AIMC Topic: Athletic Performance
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Learning from machine learning: prediction of age-related athletic performance decline trajectories.
GeroScience
Jul 9, 2021
Factors that determine individual age-related decline rates in physical performance are poorly understood and prediction poses a challenge. Linear and quadratic regression models are usually applied, but often show high prediction errors for individu...
Is machine learning and automatic classification of swimming data what unlocks the power of inertial measurement units in swimming?
Journal of sports sciences
May 9, 2021
Researchers have heralded the power of inertial sensors as a reliable swimmer-centric monitoring technology, however, regular uptake of this technology has not become common practice. Twenty-six elite swimmers participated in this study. An IMU (100H...
Application of deep learning in automatic detection of technical and tactical indicators of table tennis.
PloS one
Mar 9, 2021
A DCNN-LSTM (Deep Convolutional Neural Network-Long Short Term Memory) model is proposed to recognize and track table tennis's real-time trajectory in complex environments, aiming to help the audiences understand competition details and provide a ref...
Can an inertial measurement unit (IMU) in combination with machine learning measure fast bowling speed and perceived intensity in cricket?
Journal of sports sciences
Jan 22, 2021
This study examined whether an inertial measurement unit (IMU), in combination with machine learning, could accurately predict two indirect measures of bowling intensity through ball release speed (BRS) and perceived intensity zone (PIZ). One IMU was...
The tactics of successful attacks in professional association football: large-scale spatiotemporal analysis of dynamic subgroups using position tracking data.
Journal of sports sciences
Oct 27, 2020
Association football teams can be considered complex dynamical systems of individuals grouped in subgroups (defenders, midfielders and attackers), coordinating their behaviour to achieve a shared goal. As research often focusses on collective behavio...
The path to international medals: A supervised machine learning approach to explore the impact of coach-led sport-specific and non-specific practice.
PloS one
Sep 25, 2020
Research investigating the nature and scope of developmental participation patterns leading to international senior-level success is mainly explorative up to date. One of the criticisms of earlier research was its typical multiple testing for many in...
The use of technical-tactical and physical performance indicators to classify between levels of match-play in elite rugby league.
Science & medicine in football
Sep 8, 2020
This study aimed to identify which physical and technical-tactical performance indicators (PI) can classify between levels of rugby league match-play. Data were collected from 46 European Super League (ESL) and 36 under-19 Academy (Academy) level mat...
Importance of anthropometric features to predict physical performance in elite youth soccer: a machine learning approach.
Research in sports medicine (Print)
Aug 23, 2020
The present study aimed to determine the contribution of soccer players' anthropometric features to predict their physical performance. Sixteen players, from a professional youth soccer academy, were recruited. Several anthropometric features such as...
Complementing subjective with objective data in analysing expertise: A machine-learning approach applied to badminton.
Journal of sports sciences
Jun 17, 2020
This study aimed to assess which combination of subjective and empirical data might help to identify the expertise level. A group of 10 expert coaches classified 40 participants in 5 different expertise groups based on the video footage of the rallie...
Using Artificial Intelligence for Pattern Recognition in a Sports Context.
Sensors (Basel, Switzerland)
May 27, 2020
Optimizing athlete's performance is one of the most important and challenging aspects of coaching. Physiological and positional data, often acquired using wearable devices, have been useful to identify patterns, thus leading to a better understanding...
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