AIMC Topic: Athletic Performance
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Early specialization in formative basketball: A machine learning analysis of shooting patterns in U14 and professional players.
Journal of sports sciences
Dec 12, 2024
Growing evidence supports that early sport specialization in children and adolescents may compromise long-term athlete development and high-performance acquisition. This study aimed to determine the presence of specialised shooting roles in formative...
The factors affecting aerobics athletes' performance using artificial intelligence neural networks with sports nutrition assistance.
Scientific reports
Nov 28, 2024
This work aims to comprehensively explore the influencing factors of aerobics athletes' performance by integrating sports nutrition assistance and artificial intelligence neural networks. First, a personalized assessment and analysis of athletes' nut...
Performance of artificial neural network compared to multi-linear regression in prediction of countermovement jump height.
Journal of bodywork and movement therapies
Nov 5, 2024
Previous research has used primarily linear regression models to predict jump height and establish contributors of performance. The purpose of this study was to compare the performance of artificial neural network (ANN) and multi-linear regression (M...
A detailed analysis of game statistics of professional tennis players: An inferential and machine learning approach.
PloS one
Nov 5, 2024
Tennis, a widely enjoyed sport, motivates athletes and coaches to optimize training for competitive success. This retrospective predictive study examines anthropometric features and statistics of 1990 tennis players in the 2022 season, using 20,040 d...
IMU Airtime Detection in Snowboard Halfpipe: U-Net Deep Learning Approach Outperforms Traditional Threshold Algorithms.
Sensors (Basel, Switzerland)
Oct 22, 2024
Airtime is crucial for high-rotation tricks in snowboard halfpipe performance, significantly impacting trick difficulty, the primary judging criterion. This study aims to enhance the detection of take-off and landing events using inertial measurement...
Neural network and layer-wise relevance propagation reveal how ice hockey protective equipment restricts players' motion.
PloS one
Oct 15, 2024
Understanding the athlete's movements and the restrictions incurred by protective equipment is crucial for improving the equipment and subsequently, the athlete's performance. The task of equipment improvement is especially challenging in sports incl...
Predicting Basketball Shot Outcome From Visuomotor Control Data Using Explainable Machine Learning.
Journal of sport & exercise psychology
Sep 6, 2024
Quiet eye (QE), the visual fixation on a target before initiation of a critical action, is associated with improved performance. While QE is trainable, it is unclear whether QE can directly predict performance, which has implications for training int...
Using machine learning to determine the nationalities of the fastest 100-mile ultra-marathoners and identify top racing events.
PloS one
Aug 22, 2024
The present study intended to determine the nationality of the fastest 100-mile ultra-marathoners and the country/events where the fastest 100-mile races are held. A machine learning model based on the XG Boost algorithm was built to predict the runn...
Integration of machine learning XGBoost and SHAP models for NBA game outcome prediction and quantitative analysis methodology.
PloS one
Jul 23, 2024
This study investigated the application of artificial intelligence in real-time prediction of professional basketball games, identifying the variations within performance indicators that are critical in determining the outcomes of the games. Utilizin...
The role of morphometric characteristics in predicting 20-meter sprint performance through machine learning.
Scientific reports
Jul 18, 2024
The aim of this study was to test the morphometric features affecting 20-m sprint performance in children at the first level of primary education using machine learning (ML) algorithms. In this study, 130 male and 152 female volunteers aged between 6...
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