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Machine Learning in Sports: Identifying Potential Archers PDF

53 Pages·2019·1.72 MB·English
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SPRINGER BRIEFS IN APPLIED SCIENCES AND TECHNOLOGY Rabiu Muazu Musa Zahari Taha Anwar P. P. Abdul Majeed Mohamad Razali Abdullah Machine Learning in Sports Identifying Potential Archers SpringerBriefs in Applied Sciences and Technology SpringerBriefs present concise summaries of cutting-edge research and practical applications across a wide spectrum of fields. Featuring compact volumes of 50– 125 pages, the series covers a range of content from professional to academic. Typical publications can be: (cid:129) A timely report of state-of-the art methods (cid:129) Anintroductiontooramanualfortheapplicationofmathematicalorcomputer techniques (cid:129) A bridge between new research results, as published in journal articles (cid:129) A snapshot of a hot or emerging topic (cid:129) An in-depth case study (cid:129) Apresentation ofcore conceptsthatstudents mustunderstand inordertomake independent contributions SpringerBriefs are characterized by fast, global electronic dissemination, standard publishing contracts, standardized manuscript preparation and formatting guidelines, and expedited production schedules. On the one hand, SpringerBriefs in Applied Sciences and Technology are devoted to the publication of fundamentals and applications within the different classical engineering disciplines as well as in interdisciplinary fields that recently emerged between these areas. On the other hand, as the boundary separating fundamental research and applied technology is more and more dissolving, this series isparticularlyopentotrans-disciplinary topics between fundamentalscience and engineering. Indexed by EI-Compendex, SCOPUS and Springerlink. More information about this series at http://www.springer.com/series/8884 Rabiu Muazu Musa Zahari Taha (cid:129) Anwar P. P. Abdul Majeed Mohamad Razali Abdullah Machine Learning in Sports Identifying Potential Archers 123 RabiuMuazuMusa AnwarP. P.Abdul Majeed Innovative Manufacturing, Mechatronics Innovative Manufacturing, Mechatronics andSportsLaboratory, Faculty andSportsLaboratory, Faculty ofManufacturing Engineering ofManufacturing Engineering Universiti Malaysia Pahang Universiti Malaysia Pahang Pekan,Pahang,Malaysia Pekan,Pahang,Malaysia Zahari Taha MohamadRazali Abdullah Innovative Manufacturing, Mechatronics Universiti Sultan ZainalAbidin andSportsLaboratory, Faculty Kuala Terengganu,Terengganu, Malaysia ofManufacturing Engineering Universiti Malaysia Pahang Pekan,Pahang,Malaysia ISSN 2191-530X ISSN 2191-5318 (electronic) SpringerBriefs inApplied SciencesandTechnology ISBN978-981-13-2591-5 ISBN978-981-13-2592-2 (eBook) https://doi.org/10.1007/978-981-13-2592-2 LibraryofCongressControlNumber:2018955442 ©TheAuthor(s),underexclusivelicensetoSpringerNatureSingaporePteLtd.2019 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpart of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission orinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilar methodologynowknownorhereafterdeveloped. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publicationdoesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfrom therelevantprotectivelawsandregulationsandthereforefreeforgeneraluse. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authorsortheeditorsgiveawarranty,expressorimplied,withrespecttothematerialcontainedhereinor for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictionalclaimsinpublishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSingaporePteLtd. Theregisteredcompanyaddressis:152BeachRoad,#21-01/04GatewayEast,Singapore189721, Singapore This book is dedicated to my beloved family late Malam Muazu Musa, Halima Muazu, Adamu Muazu, Sadiya Muazu and Abubakar Muazu as well as my precious wife Nafisa Usman Yahaya. Rabiu Muazu Musa I would like to dedicate this book to my family, P. P. Abdul Majeed K. Idros, Sulleha Eramu, Noriza P. P. Abdul Majeed, as well as my wife Sharifah Maszura Syed Mohsin and not forgetting the apple of my eyes, Saffiya Anwar. Anwar P. P. Abdul Majeed Acknowledgements We would like toacknowledge ProfessorDr. Zahari Tahaand AssociateProfessor Dr.MohamadRazaliAbdullahforprovidinguswiththenecessaryknowledgeand valuablesuggestionsformakingtherealisationofthebookpossible.Wewouldalso like to extend our gratitude to UniSZA sports scientists, especially Ahmad Bisyri HusinMusawiMaliki,SitiMuslihaMat-Rashid,NorlailaAzuraKosni,Norzulaika Alias and Vijayamurugan Eswaramoorthi for their support in carrying out the data collection for this project. Our heartfelt appreciation is extended to the Innovative Manufacturing, Mechatronics and Sports Laboratory (iMAMS) members (Azraai, Hasnun, Yashim, Fakri, Aizzat, Jessnor, Amirul, Qastalani, Fahriza, Ash, Yusri, Ismail and Shahrizan) for making our stay at the laboratory a memorable one. We would also wish to acknowledge the Terengganu Sports Council (MSN) and the entirecoachingstaffsoftheTerengganuarcheryprogrammefortheirsupportinthe accomplishmentofthisproject.Moreover,wewouldalsoliketoextendoursincere appreciation and gratitude to the National Sports Institute of Malaysia (ISN) in awarding the grant for this study. Rabiu Muazu Musa Anwar P. P. Abdul Majeed vii Contents 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Nature of Archery . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Performance Parameters Influencing Archery Performance . . . . . . 1 1.3 Machine Learning in Sporting Activities . . . . . . . . . . . . . . . . . . . 2 1.4 K-Means Clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.5 Classification Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.5.1 K-Nearest Neighbour (K-NN). . . . . . . . . . . . . . . . . . . . . . 5 1.5.2 Support Vector Machine (SVM). . . . . . . . . . . . . . . . . . . . 6 1.5.3 Artificial Neural Network (ANN) . . . . . . . . . . . . . . . . . . . 7 1.5.4 Logistic Regression (LR) . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.5.5 Model Performance Evaluation. . . . . . . . . . . . . . . . . . . . . 8 1.6 Study Participants. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 1.7 Archery Shooting Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2 Bio-Physiological Indicators in Evaluating Archery Performance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 2.1 Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 2.2 Clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2.3 Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2.4 Results and Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 3 Psychological Variables in Ascertaining Potential Archers . . . . . . . . 21 3.1 Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 3.2 Clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 3.3 Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 ix x Contents 3.4 Results and Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 3.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 4 Anthropometry Correlation Towards Archery Performance . . . . . . 29 4.1 Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 4.2 Clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 4.3 Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 4.4 Results and Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 4.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 5 Psycho-Fitness Parameters in the Identification of High-Potential Archers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 5.1 Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 5.2 Clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 5.3 Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 5.4 Results and Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 5.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 6 Concluding Remarks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 About the Authors Dr. Rabiu Muazu Musa holds a Ph.D. degree from Universiti Sultan Zainal Abidin(UniSZA),Malaysia.HeobtainedhisM.Sc.insportssciencefromUniSZA in2015andhisB.Sc.inphysicalandhealtheducationatBayeroUniversityKano, Nigeria, in 2011. His Ph.D. research focused on the development of multivariate and machine learning models for athletic performance. His research interests include performance analysis, health promotion, sports psychology, exercise sci- ence, talent identification, test and measurement as well as machine learning. Prof. Dr. Zahari Taha graduated with a B.Sc. in aeronautical engineering with honours from the University of Bath, UK. He obtained his Ph.D. in dynamics and controlofrobotsfromtheUniversityofWalesInstituteofScienceandTechnology in 1987. He is currently a Professor of Manufacturing Engineering at Universiti Malaysia Pahang, and he is also the founder and advisor of the Innovative Manufacturing, Mechatronics and Sports (iMAMS) Laboratory, Universiti Malaysia Pahang. He teaches and conducts research in the areas of industrial automation,robotics,ergonomics,sustainablemanufacturing,machinelearningand sports engineering. Dr. Anwar P. P. Abdul Majeed graduated with a first-class honours B.Eng. in mechanical engineering from Universiti Teknologi MARA (UiTM), Malaysia. He obtained an M.Sc. in nuclear engineering from Imperial College London, UK. He thenreceivedhisPh.D.inrehabilitationroboticsunderthesupervisionofProf.Dr. Zahari Taha from Universiti Malaysia Pahang (UMP). He is currently serving as a seniorlecturer atthe Faculty of Manufacturing Engineering, UMP. He isan active research member at the Innovative Manufacturing, Mechatronics and Sports Laboratory,UMP.Hisresearchinterestincludescomputationalmechanics,applied mechanics, sports engineering, renewable and nuclear energy, sports performance analysis as well as machine learning. xi

Description:
This brief highlights the association of different performance variables that influences archery performance and the employment of different machine learning algorithms in the identification of potential archers. The sport of archery is often associated with a myriad of performance indicators namely
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