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Proceedings of the 14th International Symposium on Computer Science in Sport (IACSS 2023) / / edited by Hui Zhang, Martin Lames, Arnold Baca, Yingcai Wu



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Titolo: Proceedings of the 14th International Symposium on Computer Science in Sport (IACSS 2023) / / edited by Hui Zhang, Martin Lames, Arnold Baca, Yingcai Wu Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (183 pages)
Disciplina: 796
Soggetto topico: Sports sciences
Recreation - Equipment and supplies
Computational intelligence
Medical informatics
Sport Technology
Sport Analytics
Computational Intelligence
Health Informatics
Persona (resp. second.): ZhangHui <1705-1750, >
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Machine Learning based Automatic Effective Round Segmentation Method for Table Tennis -- Automatic Formation Recognition in Handball Using Template Matching -- A Finite Element Model to Predict Shear Deformation in Running Shoe Midsoles during the Foot Strike.
Sommario/riassunto: This book is a compilation of selected papers from the 14th International Symposium on Computer Science in Sport (IACSS 2023), held on September 27-30, 2023 in Hangzhou, China. The work focuses on the application of computer science and technology in the field of sports (such as intelligent data collection, data mining, visual analysis of game data, virtual reality, machine learning, computer vision, match prediction models and performance analysis). The contents make valuable contributions to academic researchers, college students, coaches and athletes, and sports management personnel (such as managers of sports associations, training bases, and professional clubs). Additionally, readers will encounter new ideas for realizing a more efficient and convenient training and exercise system.
Titolo autorizzato: Proceedings of the 14th International Symposium on Computer Science in Sport (IACSS 2023)  Visualizza cluster
ISBN: 981-9728-98-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910864193903321
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Serie: Lecture Notes on Data Engineering and Communications Technologies, . 2367-4520 ; ; 209