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 …

Psychology and neuroscience are concerned with the study of behavior, of internal cognitive
processes, and their neural foundations. However, most laboratory studies use constrained …

Identifying key patterns of tactics implemented by rival teams, and develo** effective
responses, lies at the heart of modern football. However, doing so algorithmically remains …

Soccer is more than just a game-it is a passion that transcends borders and unites people
worldwide. From the roar of the crowds to the excitement of the commentators, every …

Identifying playing styles in football is highly valuable for achieving effective performance
analysis. While there is extensive research on team styles, studies on individual player …

Cooperative multi-agent reinforcement learning (MARL) is making rapid progress for solving
tasks in a grid world and real-world scenarios, in which agents are given different attributes …

Badminton is a fast-paced sport that requires a strategic combination of spatial, temporal,
and technical tactics. To gain a competitive edge at high-level competitions, badminton …

Monocular 3D human pose estimation has made progress in recent years. Most of the
methods focus on single persons, which estimate the poses in the person-centric …

Understanding the principles of real-world biological multi-agent behaviors is a current
challenge in various scientific and engineering fields. The rules regarding the real-world …

One of the main shortcomings of event data in football, which has been extensively used for
analytics in the recent years, is that it still requires manual collection, thus limiting its …