Sports Science

Toward characterizing cardiovascular fitness using machine learning based on unobtrusive data
Cardiopulmonary exercise testing (CPET) is a non-invasive approach to measure the maximum oxygen uptake (V˙O2−max), which is an index …
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Criterion validity of neural networks to assess lower limb motion during cycling
The use of marker-less methods to automatically obtain kinematics of movement is expanding but validity to high-velocity tasks such as …
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Using machine learning pipeline to predict entry into the attack zone in football
Sports sciences are increasingly data-intensive nowadays since computational tools can extract information from large amounts of data …
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Classification and determinants of passing difficulty in soccer: a multivariate approach
Introduction Usually, the players’ or teams’ efficiency to perform passes is measured in terms of accuracy. The degree of difficulty of …
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Complex Network Model Reveals the Impact of Inspiratory Muscle Pre-Activation on Interactions among Physiological Responses and Muscle Oxygenation during Running and Passive Recovery
Although several studies have focused on the adaptations provided by inspiratory muscle (IM) training on physical demands, the warm-up …
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Validity of Neural Networks to Determine Body Position on the Bicycle
ABSTRACTPurpose: With the increased access to neural networks trained to estimate body segments from images and videos, this study …
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Automatic Markerless Motion Detector Method against Traditional Digitisation for 3-Dimensional Movement Kinematic Analysis of Ball Kicking in Soccer Field Context
Kicking is a fundamental skill in soccer that often contributes to match outcomes. Lower limb movement features (e.g., joint position …
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Characterization and analyses of dribbling actions in soccer: a novel definition and effectiveness of dribbles in the 2018 FIFA World Cup RussiaTM
Dribbling is a meaningful skill in soccer, due to its effectiveness to create opportunities for scoring. Several studies analyzed …
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Complex networks analysis reinforces centrality hematological role on aerobic--anaerobic performances of the Brazilian Paralympic endurance team after altitude training
This study investigated the 30-days altitude training (2500 m, LHTH-live and training high) on hematological responses and …
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Sport action mining: Dribbling recognition in soccer
Recent advances in Computer Vision and Machine Learning empowered the use of image and positional data in several high-level analyses …
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