LEADER 05392nam 22006615 450 001 9911016073103321 005 20250722130239.0 010 $a3-662-70155-3 024 7 $a10.1007/978-3-662-70155-3 035 $a(CKB)39698264200041 035 $a(DE-He213)978-3-662-70155-3 035 $a(MiAaPQ)EBC32269968 035 $a(Au-PeEL)EBL32269968 035 $a(EXLCZ)9939698264200041 100 $a20250722d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence and Machine Learning in Sports Science /$fedited by Daniel Memmert 205 $a1st ed. 2025. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2025. 215 $a1 online resource (XIV, 327 p. 81 illus., 72 illus. in color.) 311 08$a3-662-70154-5 327 $aI Basics -- AI and ML: Definitions and basics -- Supervised and Unsupervised Learning -- Model evaluation in machine learning applications -- Predictive Bayesian Modeling in Sport Science -- Computer Vision and Deep Learning for Sports Analytics -- Human and artificial intelligence integration for decision-making in sports performance -- Match predictions in soccer: Machine learning vs. Poisson approaches -- II Metrics in team sports -- Machine Learning in Soccer -- Machine Learning in Basketball -- Machine Learning in Handball -- Risk, Reward, and Reinforcement Learning in Ice Hockey Analytics -- III Metrics in individual sports -- Machine Learning for Contemporary Dance -- Automatic annotation of movements in dance -- Profiling of High-Performance Skateboarders from Anthro-fitness Variables: A Random Forest-Based-Machine Learning Analysis -- IV Applications in sports science -- Defining player dominant region in soccer: background, data-driven models advances, and scientific challenges -- Applications of Computer Vision in Sports Sciences -- Machine learning-based analysis of multi-agent trajectories in basketball -- Artificial intelligence to promote physical activity -- Machine Learning for Injury Prediction -- Event Data Based Action Valuation: Possibilities and Limitations -- V Outlook -- Responsible use of Machine Learning in Sports Science -- Opportunities and challenges of artificial intelligence in sports science. 330 $aThis professional book is one of the first book publications providing a comprehensive overview of how artificial intelligence (AI) and machine learning (ML) are used in the context of sports science research and sports 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. There are many opportunities for future research activities, e.g. performance analysis to prevent injuries and personalized training methods. More than 25 experts help to cover a 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 concerning the use of AI and ML in sport and their responsible application. Overall, professionals and researchers in the fields of sports informatics, sports technology, exercise science and sports medicine are provided with a comprehensive reference work with practical examples of an innovative field of research. The Editor Prof Dr Daniel Memmert is the Executive Head and Professor at the Institute of Exercise Training and Sport Informatics at the German Sport University Cologne. He is the editor and author of numerous textbooks specializing in exercise training, sport psychology and computer science. His institute organizes two certificate courses (Match Analysis Team Cologne and Sport Director in Junior and Amateur Football) and the first international further education Master's course in "Match Analysis". 606 $aSports sciences 606 $aArtificial intelligence 606 $aMachine learning 606 $aComputer science 606 $aRecreation$xEquipment and supplies 606 $aSport Science 606 $aArtificial Intelligence 606 $aMachine Learning 606 $aSport Analytics 606 $aComputer Science 606 $aSport Technology 615 0$aSports sciences. 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 0$aComputer science. 615 0$aRecreation$xEquipment and supplies. 615 14$aSport Science. 615 24$aArtificial Intelligence. 615 24$aMachine Learning. 615 24$aSport Analytics. 615 24$aComputer Science. 615 24$aSport Technology. 676 $a796.015 702 $aMemmert$b Daniel$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911016073103321 996 $aArtificial Intelligence and Machine Learning in Sports Science$94410337 997 $aUNINA LEADER 02775oam 2200649zu 450 001 9910975132203321 005 20251116234100.0 010 $a1-57181-800-6 010 $a1-57181-799-9 024 7 $a2027/heb08716 035 $a(CKB)2560000000322466 035 $a(SSID)ssj0001135423 035 $a(PQKBManifestationID)12464915 035 $a(PQKBTitleCode)TC0001135423 035 $a(PQKBWorkID)11095676 035 $a(PQKB)10750366 035 $a(MiAaPQ)EBC6144700 035 $a(dli)HEB08716 035 $a(MiU) MIU01100000000000000000862 035 $a(MiU)MIU01100000000000000000862 035 $a(BIP)6407217 035 $a(EXLCZ)992560000000322466 100 $a20160829d2000 uy 101 0 $aeng 135 $aurmnummmmuuuu 181 $ctxt 182 $cc 183 $acr 200 00$aAnthropologists in a wider world : essays on field research 210 31$a[Place of publication not identified]$cBerghahn Books$d2000 215 $a1 online resource (xiv, 310 p. ) $cill. 225 0 $aMethodology and history in anthropology Anthropologists in a wider world 300 $aBibliographic Level Mode of Issuance: Monograph 320 $aIncludes bibliographical references (p. 275-294) and index. 330 $aA dozen papers reflect the newer perspective of studying historical patterns, wider regions, and global networks beyond traditional anthropological fieldwork. New wave scholars reflect on their field and desk experiences and may let the field come to them; e.g., an ethnomusicologist studies the fieldwork of others and observes non- Western performances in a British museum. Includes bandw photos of authors' studies and a substantial bibliography. The editors and contributors are from the U. of Oxford, where the social and cultural anthropology department held a 1997 seminar on the teaching of methods on which this volume is based. 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