Sports Analytics

Second International Conference, ISACE 2025, Shanghai, China, September 26–27, 2025, Proceedings

AvJin-song Dong,Jing Sun

Häftad, Engelska, 2025

Del 15925 i serien Lecture Notes in Computer Science

754 kr

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Beskrivning

This book LNCS 15925 constitutes the refereed proceedings of the Second International Conference on Sports Analytics, ISACE 2025, held in Shanghai, China, during September 26-27, 2025.The 21 full papers were carefully reviewed and selected from 57 submissions. These papers explore the frontiers of sports analytics, which is an interdisciplinary field that integrates artificial intelligence, data science, psychology, and smart devices to enhance athletic performance, strategy, and decision-making.

Produktinformation

Utgivningsdatum:2025-09-27
Mått:155 x 235 x 17 mm
Vikt:470 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:294
Förlag:Springer Nature Switzerland AG
ISBN:9783032061669

Utforska kategorier

Informationsteknik: allmänt inom Data och IT
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Fractal Analysis of Ball Movement Maps for Team Performance Evaluation in Association Football.- YOCO-Sport: An end-to-end framework for deep learning-based camera calibration from sports broadcast footage.- One-shot Team Recognition and 3D Pose Estimation of Cyclists for Augmented Reality Visualization.- How Do Football Teams Play? A Deep Embedded Clustering Approach to Reveal Playing Styles.- Construction of Sports and Exercise Knowledge Graph.- Personalised Running Coaching with Next-Generation Wearable Technology.- Does Wellness Predict Performance? Player-Specific Insights from Daily Monitoring in College Men’s Soccer.- Locating Tennis Ball Impact on the Racket in Real Time Using an Event Camera.- An Analysis of Differences in Golf Performance between Age Groups for the Development of an XR Metaverse Platform and Content for Inclusive Digital Leisure.- Scalable Tactical Tennis Insights: Hybridizing Automated Reports and LLM-Powered Analytics.- Analyzing Basketball Lineups with MDP Using NBA Statistics and Player Tracking Data.- AI and Data Science in Sports Education.- Examining the Impact of Traffic on Shot Attempts in Ice Hockey.- Predicting Penalty Kick Direction Using Multi-Modal Deep Learningwith Pose-Guided Attention.- A Bayesian Dual-Skill Framework for Roster-Based Cycling Race Outcome Prediction.- Horse ReIDing: Addressing Re-Identification in Horse Racing Scenarios.- Barbell Trajectory Tracking for Performance Analysis During Snatch Movement in Weightlifting.- A Data-driven Imputation Scheme for Cohort Studies: A Collegiate Basketball Case Study.- TANS: A Chess-Inspired Notation System for Strategy Analysis of Tennis Games.- Agentic Generative AI for Media Content Discovery at the National Football League.- Probabilistic Action Modeling for Tactical Training in Handball.

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