Titlebook: Artificial Intelligence in Sports, Movement, and Health; Carlo Dindorf,Eva Bartaguiz,Michael Fr?hlich Book 2024 The Editor(s) (if applicab

等級(jí)的上升

Learning to Run Marathons: On the Applications of Machine Learning to Recreational Marathon Runninge data can be used to support individuals as they train and compete, focusing in particular on recreational marathon runners. We discuss why the marathon is an interesting data science application domain, and we present several case studies to demonstrate how ideas from machine learning and recommen

設(shè)施

Data-Driven Methods for Soccer Analysisns and abundant data sources, serves as an ideal canvas for applying these methodologies. The core concept of the chapter revolves around establishing a data-driven pipeline in soccer and sports science. This pipeline automates the collection, transformation, processing, and analysis of data, creati

Tartar

preeclampsia

Mariana Gonzalez Insua,Edurne Battistaheir validity and applications in sports and health. We complement this literature review by providing two practical examples of our own research and summarize the main challenges that need to be tackled in future research.

mosque

Xiaoming Huo,Cheng Huang,Xuelei Sherry Niionising soccer performance analysis. This chapter covers the promises and possibilities that the confluence of Artificial Intelligence (AI) and sports science holds, offering a roadmap for optimising athlete and team performance.

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A Brief Review of Artificial Intelligence for Sport Informatics in the Scope of Human–Computer Interxperiences tailored to individuals’ needs and preferences. Therefore, we provide a brief overview of AI‘s influence on athletic performance, injury management, and healthcare, advocating for human-centered design (HCD) principles to optimize user engagement and outcomes in this dynamic domain.

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Soliloquy

Inveterate

Panacea