Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
AI in Sports Analytics
0
Zitationen
4
Autoren
2026
Jahr
Abstract
The integration of Artificial Intelligence (AI) into sports analytics has transformed how performance, strategy, and fan engagement are managed in modern sports. This chapter highlights the synergy of AI, Digital Twin, and Metaverse technologies in creating a smart and immersive sports ecosystem. AI facilitates real-time tracking, injury prediction, personalized training, and tactical analysis using machine learning and computer vision. Digital Twins simulate athletes and game scenarios for optimization and decision-making. The Metaverse enhances fan interaction through virtual stadiums, avatars, and personalized content. Smart wearables and edge computing further boost data quality and immediacy. Case studies such as FIFA's AI-assisted VAR and immersive metaverse experiences illustrate real-world applications. The chapter also addresses challenges in data privacy, algorithmic bias, and equitable technology access. It proposes a comprehensive framework and future directions to guide the ethical and strategic adoption of AI and immersive technologies in sports.
Ähnliche Arbeiten
Progress in Development of the Index of ADL
1970 · 4.092 Zit.
Investment in Human Capital and Personal Income Distribution
1958 · 3.727 Zit.
Transfer Learning
2010 · 1.421 Zit.
FairMOT: On the Fairness of Detection and Re-identification in Multiple Object Tracking
2021 · 1.398 Zit.
Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL
2006 · 1.235 Zit.