AIMC Topic: Athletic Performance
Clear Filters Showing 41 to 50 of 97 articles
Advancing 100m sprint performance prediction: A machine learning approach to velocity curve modeling and performance correlation.
PloS one
May 13, 2024
This study presents a novel approach to modeling the velocity-time curve in 100m sprinting by integrating machine learning algorithms. It critically addresses the limitations of traditional speed models, which often require extensive and intricate da...
Association between match-related physical activity profiles and playing positions in different tasks: A data driven approach.
Journal of sports sciences
Apr 4, 2024
Assessing the intensity characteristics of specific soccer drills (matches, small-side game, and match-based exercises) could help practitioners to plan training sessions by providing the optimal stimulus for every player. In this paper, we propose a...
A machine learning approach for the classification of sports based on a coaches' perspective of environmental, individual and task requirements: A sports profile analysis.
Journal of sports sciences
Dec 17, 2023
Well-designed talent programmes in sports with a focus on talent identification, orientation, development, and transfer support the engagement of young individuals and the pursuit of elite performance. To facilitate these processes, an analysis of ta...
Analysis of contextualized intensity in Men's elite handball using graph-based deep learning.
Journal of sports sciences
Nov 13, 2023
Manual annotation of data in invasion games is a costly task which poses a natural limit on sample sizes and the level of granularity used in match and performance analyses. To overcome this challenge, this work introduces FAUPA-ML, a Framework for A...
Comparative Efficacy of Robotic and Manual Massage Interventions on Performance and Well-Being: A Randomized Crossover Trial.
Sports health
Aug 11, 2023
BACKGROUND: Manual massage (MM) interventions can improve psychophysiological states of relaxation and well-being. In this context, robotic massage (RM) represents a promising, but currently understudied, solution.
Prediction of defensive success in elite soccer using machine learning - Tactical analysis of defensive play using tracking data and explainable AI.
Science & medicine in football
Aug 4, 2023
The interest in sports performance analysis is rising and tracking data holds high potential for game analysis in team sports due to its accuracy and informative content. Together with machine learning approaches one can obtain deeper and more object...
Prediction of Marathon Performance using Artificial Intelligence.
International journal of sports medicine
Dec 6, 2022
Although studies used machine learning algorithms to predict performances in sports activities, none, to the best of our knowledge, have used and validated two artificial intelligence techniques: artificial neural network (ANN) and k-nearest neighbor...
Prediction Model and Data Simulation of Sports Performance Based on the Artificial Intelligence Algorithm.
Computational intelligence and neuroscience
Oct 7, 2022
There is still a certain deviation between the current artificial intelligence technology and the traditional learning mode, which makes it unable to be effectively applied in teaching and learning. Therefore, an effective method needs to be proposed...
A Continuous Deep Learning System Study of Tennis Player Health Information and Professional Input.
Computational intelligence and neuroscience
Jul 30, 2022
The health status of elite tennis players and the results of tennis matches are positively proportional under normal circumstances. The physical and psychological functions of tennis players directly affect the athletic ability of tennis players. Wit...
Construction of Correlation Analysis Model of College Students' Sports Performance Based on Convolutional Neural Network.
Computational intelligence and neuroscience
May 27, 2022
This paper proposes a network model recurrent fully connected network (RFC-Net) based on recurrent full convolution and polarization change. RFC-Net enriches the network by reconstructing and fine-tuning the fully convolutional network and adding rec...
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