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  • Proceedings of the 14th International Symposium on Computer Science in Sport (IACSS 2023)

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

    Series: Lecture Notes on Data Engineering and Communications Technologies; 209;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 235.39
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        97 628 Ft (92 979 Ft + 5% VAT)
      • Discount 20% (cc. 19 526 Ft off)
      • Discounted price 78 102 Ft (74 383 Ft + 5% VAT)

    97 628 Ft

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    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Long description:

    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.

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    Table of Contents:

    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.

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