AIMC Topic: Sports

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Supervised learning techniques and their ability to classify a change of direction task strategy using kinematic and kinetic features.

Journal of biomechanics
This study examines the ability of commonly used supervised learning techniques to classify the execution of a maximum effort change of direction task into predefined movement pattern as well as the influence of fuzzy executions and the impact of sel...

Defining a multimodal signature of remote sports concussions.

The European journal of neuroscience
Sports-related concussions lead to persistent anomalies of the brain structure and function that interact with the effects of normal ageing. Although post-mortem investigations have proposed a bio-signature of remote concussions, there is still no cl...

Robotic vertical jumping agility via series-elastic power modulation.

Science robotics
Several arboreal mammals have the ability to rapidly and repeatedly jump vertical distances of 2 m, starting from rest. We characterize this performance by a metric we call vertical jumping agility. Through basic kinetic relations, we show that this ...

Evaluation of tactical training in team handball by means of artificial neural networks.

Journal of sports sciences
While tactical performance in competition has been analysed extensively, the assessment of training processes of tactical behaviour has rather been neglected in the literature. Therefore, the purpose of this study is to provide a methodology to asses...

Sex-based differences in knee ligament biomechanics during robotically simulated athletic tasks.

Journal of biomechanics
ACL injury rates are greater in female athletes than their male counterparts. As female athletes are at increased risk, it is important to understand the underlying mechanics that contribute to this sex bias. The purpose of this investigation was to ...

Ecological Network Analysis: Utilizing Machine Learning to Unravel the Effects of Multilevel Pathways of Moderate⁃to⁃Vigorous Physical Activity Facilitators Among School Children.

Research quarterly for exercise and sport
The objective of the present study was to ascertain whether the association between moderate-to-vigorous intensity physical activity (MVPA) levels and individual, interpersonal, organizational, and environmental factors among school children is influ...

A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision.

IEEE transactions on visualization and computer graphics
Deep learning has the potential to revolutionize sports performance, with applications ranging from perception and comprehension to decision. This article presents a comprehensive survey of deep learning in sports performance, focusing on three main ...

Pose estimation for pickleball players' kinematic analysis through MediaPipe-based deep learning: A pilot study.

Journal of sports sciences
Pickleball has gained popularity across diverse age groups. This sport has particular balls that require different hitting styles, like hitting dinks. This study focuses on introducing pickleball players' kinematic analysis through a MediaPipe-based ...

SNIL: Generating Sports News From Insights With Large Language Models.

IEEE transactions on visualization and computer graphics
To enhance the appeal and informativeness of data news, there is an increasing reliance on data analysis techniques and visualizations, which poses a high demand for journalists' abilities. While numerous visual analytics systems have been developed ...

Enhancing Marathon Enthusiast Engagement Through AI: A Quantitative Study on the Role of Social Media in Sports Communication.

Brain and behavior
PURPOSE: This study explores the impact of AI-driven personalization, interactive features, and real-time feedback on user engagement and experience among marathon enthusiasts.