Artificial Intelligence in Sports, Movement, and Health

This comprehensive work explores Artificial Intelligence´s profound impact on revolutionizing how we approach sports, movement, and health. It presents a rich collection of insights, practical applications, and perspectives poised to transform these domains. Therefore, leading experts in the fields were brought together, offering diverse perspectives and applications across various disciplines. Through the examination of real-world use cases and future possibilities, this book empowers readers with knowledge, enhancing the understanding of the transformative potential of AI in sports, movement, and health.

Explore how cutting-edge AI for sports enhances training, performance analysis, and strategic decision-making Discover how AI improves injury prevention and promotes overall health management Uncover applications that bridge the gap between theory and practice, providing athletes with valuable tools

Autorentext

Carlo Dindorf, Eva Bartaguiz, Freya Gassmann, and Michael Fröhlich teach and conduct research at the University of Kaiserslautern-Landau (RPTU). They possess deep knowledge and hands-on experience spanning Artificial Intelligence, exercise science, and empirical social research. With this edited work, in collaboration with a renowned team of contributing authors, they aim to showcase applications and future perspectives of Artificial Intelligence in sports, movement, and health sectors and present the content illustrative and practical to the readers.

Inhalt

.- Situating Sports Science in the Movement of Digitization.

.- AI in Sport Scientific Creation and Writing Process.

.- Advancing Endurance Sports with AI.

.- Sensors Internet of Things and Artificial Intelligence for the Diagnosis and Prevention.

.- Artificial Intelligence for Sport Injury Prediction.

.- Generative AI in Anti Doping Analysis in Sports.

.- A Brief Review of Artificial Intelligence for Sport Informatics.

.- Transferring Lessons Learned from Uncertainty.

.- Machine Learning in Biomechanics.

.- AI based Motion Capture.

.- Machine Learning in Tennis.

.- Using Convolutional Neural Network to Predict Sports.

.- Learning to Run Marathons.

.- Data driven Methods for Soccer Analysis.

.- Artificial Intelligence in Talent Identification and Development in Sport.