Zhang, Hui. editor. edt http://id.loc.gov/vocabulary/relators/edt Lames, Martin. editor. edt http://id.loc.gov/vocabulary/relators/edt Baca, Arnold. editor. edt http://id.loc.gov/vocabulary/relators/edt Wu, Yingcai. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XXIV, 162 p. 51 illus., 45 illus. in color. online resource. 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. 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. edited by Hui Zhang, Martin Lames, Arnold Baca, Yingcai Wu. Sports sciences Recreation Equipment and supplies Computational intelligence Medical informatics Sport Technology Sport Analytics Computational Intelligence Health Informatics GV557-558 9789819728985 https://doi.org/10.1007/978-981-97-2898-5 https://doi.org/10.1007/978-981-97-2898-5 240523 20251030112057.0 978-981-97-2898-5