Machine Learning

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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Litter Detection with Deep Learning: A Comparative Study
Pollution in the form of litter in the natural environment is one of the great challenges of our times. Automated litter detection can …
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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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Complex network model indicates a positive effect of inspiratory muscles pre-activation on performance parameters in a judo match
This study investigated the effects of inspiratory muscle pre-activation (IMPA) on the interactions among the technical-tactical, …
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Measuring economic activity from space: a case study using flying airplanes and COVID-19
This work introduces a novel solution to measure economic activity through remote sensing for a wide range of spatial areas. We …
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Parallax Motion Effect Generation Through Instance Segmentation And Depth Estimation
Stereo vision is a growing topic in computer vision due to the innumerable opportunities and applications this technology offers for …
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A Multirepresentational Fusion of Time Series for Pixelwise Classification
This article addresses the pixelwise classification problem based on temporal profiles, which are encoded in 2-D representations based …
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