Ubi-Media 2027 Special Session on

Sport Data Analysis
(SS-SDA)

Min-Te Sun, National Central University, Taiwan

msun@csie.ncu.edu.tw

Introduction

We are pleased to announce a special session on "Sport Data Analysis" at the Ubi-Media 2027 workshop, to be held in Okinawa, Japan, from 17 – 21 January 2027.

This special session aims to bring together scholars, data scientists, and industry professionals from the domains of sports technology, data analytics, and artificial intelligence to discuss the latest trends, methods, and applications of data analysis in sports science and performance evaluation. With the growth of wearable sensors, video analytics, and AI-based modeling, sport data has become a critical component for performance improvement, injury prevention, and tactical optimization.

We invite original research contributions that explore innovative and practical approaches to collecting, processing, analyzing, and applying sport-related data.

Topics of interest include, but are not limited to:

Topics of Interest

  • Sports performance modeling and prediction

  • Machine learning for athlete monitoring

  • Real-time data analytics for in-game decisions

  • Wearable sensor data analysis and fusion

  • Motion tracking and biomechanics

  • Tactical and strategic analysis in team sports

  • AI in sports broadcasting and fan engagement

  • Injury prediction and prevention using AI

  • Video-based sports analytics

  • Big data systems for sports science

  • Deep learning for pose estimation in sports

  • Federated learning and privacy in athlete data

  • Intelligent feedback systems for training

Financial Co-Chairs

  • Yung-Hui Chen, LungHwa University of Sci. and Tech., Taiwan

Submission & Format information:

Please submit your papers via EasyChair at:

https://easychair.org/conferences/?conf=ss-sda2027