AIMC Topic: Athletic Performance
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Internet of things enabled deep learning monitoring system for realtime performance metrics and athlete feedback in college sports.
Scientific reports
Aug 4, 2025
This study presents an Internet of Things (IoT)-enabled Deep Learning Monitoring (IoT-E-DLM) model for real-time Athletic Performance (AP) tracking and feedback in collegiate sports. The proposed work integrates advanced wearable sensor technologies ...
Analysis of baseball behavior recognition model based on Dual-GCN improved by motion weights.
Scientific reports
Jul 15, 2025
This research aims to address the poor performance in baseball behavior recognition, insufficient connection between characters, and low accuracy in baseball behavior recognition. A motion weight improvement model based on dual-graph convolutional ne...
Enhancing game outcome prediction in the Chinese basketball league through a machine learning framework based on performance data.
Scientific reports
Jul 3, 2025
Basketball remains among the most globally popular sports, with its various competitions drawing substantial attention. The analysis and modeling of basketball game data have long been central topics in sports analytics. In recent years, integrating ...
The application of artificial intelligence techniques in predicting game outcomes of professional basketball league: A systematic review.
PloS one
Jun 26, 2025
BACKGROUND: Predicting basketball game outcomes is a critical area in sports science and data analysis, providing concrete benefits for optimizing coaching strategies, improving team management, and informing betting decisions.
Race-Performance Parameters Differentiating World-Best From National-Level Swimmers: A Race Video Analysis and Machine-Learning Approach.
International journal of sports physiology and performance
Jun 5, 2025
BACKGROUND: Elite swimming performance is determined by a complex interplay of anthropometric, physiological, biomechanical, and technical factors. Previous research highlights how the 100-m freestyle demands explosive power, technical proficiency, a...
Evaluation of sports training methods and technical characteristics based on multi-dimensional driving fuzzy intelligent computing.
PloS one
Jun 2, 2025
To improve the competitive state of badminton athletes and summarize the technical characteristics of badminton players, this paper introduces multi-dimensional fuzzy removal intelligent computing. Taking 120 badminton students from a sports school a...
Understanding whole-body inter-personal dynamics between two players using neural granger causality as the explainable artificial intelligence.
Human movement science
May 30, 2025
Understanding the dynamics of complex, whole-body interpersonal coordination behavior in humans is an important subject in behavioral science. However, due to the challenges of analyzing complex causal relationships among multiple body components wit...
The data analysis of sports training by ID3 decision tree algorithm and deep learning.
Scientific reports
Apr 29, 2025
In order to improve the accuracy and efficiency of sports training data analysis, this paper proposes an optimized analysis model by combining Iterative Dichotomiser 3 (ID3) decision tree algorithm and deep learning model. As an important scientific ...
Machine learning-based analysis of defensive strategies in basketball using player movement data.
Scientific reports
Apr 22, 2025
The analysis of basketball strategies has traditionally relied on manual observation and limited data. As tracking technology progresses, there is potential for applying Artificial Intelligence specifically to strategy, delivering insights into defen...
Deep learning-based recognition model of football player's technical action behavior using PCA-LBP algorithm.
Scientific reports
Apr 21, 2025
Football is a sport that requires sportsmen to have both physical strength and physical features. It must consider the distinctions between individuals and then provide targeted training. Football players can perform better on the field with targeted...
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