Recent developments in video analysis of sports and computer vision techniques have
achieved significant improvements to enable a variety of critical operations. To provide …

The rapid and impromptu interest in the coupling of machine learning (ML) algorithms with
wearable and contactless sensors aimed at tackling real‐world problems warrants a …

Assessing the impact of the individual actions performed by soccer players during games is
a crucial aspect of the player recruitment process. Unfortunately, most traditional metrics fall …

Given the large pitch, numerous players, limited player turnovers, and sparse scoring,
soccer is arguably the most challenging to analyze of all the major team sports. In this work …

The increasing demand for analyzing the insights in sports has stimulated a line of
productive studies from a variety of perspectives, eg, health state monitoring, outcome …

As a new computing paradigm, edge computing emerges in various fields. Many tasks
previously relied on cloud computing are distributed to various edge devices that cooperate …

Deep learning has the potential to revolutionize sports performance, with applications
ranging from perception and comprehension to decision. This paper presents a …

Evaluating the individual movements for teammates in soccer players is crucial for
assessing teamwork, scouting, and fan engagement. It has been said that players in a 90 …

There has been an explosion of data collected about sports. Because such data is extremely
rich and complex, machine learning is increasingly being used to extract actionable insights …

Esports, despite its expanding interest, lacks fundamental sports analytics resources such as
accessible data or proven and reproducible analytical frameworks. Even Counter-Strike …