Produkt
KlappentextThis professional book is one of the first German-language publications to provide a comprehensive overview of how artificial intelligence (AI) and machine learning (ML) are used in the context of sports science research and practice.
In addition to the basics of AI and ML, various applications are described, including self-learning algorithms for analyzing athletes' movement patterns and intelligent wearables that provide real-time data. By integrating big data, game results, fitness parameters and individual performance can be analyzed in detail, leading to new developments in research. From performance analysis to injury prevention and personalized training methods, there are many opportunities for future research and practice.
More than 22 experts contribute to covering the wide range of topics related to AI and ML and concisely summarize the latest state of research. Various topics are clustered in overarching book sections, including general basics, metrics in team sports, metrics in individual sports and applications in sports science.
An outlook also addresses ethical issues in connection with the use of AI and ML in sport and their responsible application. Overall, professionals and researchers in the fields of computer science in sport, sports technology, training science and sports medicine will find a comprehensive reference work with practical examples of an innovative field of research.
In addition to the basics of AI and ML, various applications are described, including self-learning algorithms for analyzing athletes' movement patterns and intelligent wearables that provide real-time data. By integrating big data, game results, fitness parameters and individual performance can be analyzed in detail, leading to new developments in research. From performance analysis to injury prevention and personalized training methods, there are many opportunities for future research and practice.
More than 22 experts contribute to covering the wide range of topics related to AI and ML and concisely summarize the latest state of research. Various topics are clustered in overarching book sections, including general basics, metrics in team sports, metrics in individual sports and applications in sports science.
An outlook also addresses ethical issues in connection with the use of AI and ML in sport and their responsible application. Overall, professionals and researchers in the fields of computer science in sport, sports technology, training science and sports medicine will find a comprehensive reference work with practical examples of an innovative field of research.