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Machine Learning in Sports

Identifying Potential Archers

  • Rabiu Muazu Musa
  • Zahari Taha
  • Anwar P.P.Abdul Majeed
  • Mohamad Razali Abdullah

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Rabiu Muazu Musa, Zahari Taha, Anwar P. P. Abdul Majeed, Mohamad Razali Abdullah
    Pages 1-11
  3. Rabiu Muazu Musa, Zahari Taha, Anwar P. P. Abdul Majeed, Mohamad Razali Abdullah
    Pages 13-20
  4. Rabiu Muazu Musa, Zahari Taha, Anwar P. P. Abdul Majeed, Mohamad Razali Abdullah
    Pages 21-27
  5. Rabiu Muazu Musa, Zahari Taha, Anwar P. P. Abdul Majeed, Mohamad Razali Abdullah
    Pages 29-35
  6. Rabiu Muazu Musa, Zahari Taha, Anwar P. P. Abdul Majeed, Mohamad Razali Abdullah
    Pages 37-44
  7. Rabiu Muazu Musa, Zahari Taha, Anwar P. P. Abdul Majeed, Mohamad Razali Abdullah
    Pages 45-45

About this book

Introduction

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 bio-physiological, psychological, anthropometric as well as physical fitness. Traditionally, the determination of potential archers is carried out by means of conventional statistical techniques. Nonetheless, such methods often fall short in associating non-linear relationships between the variables. This book explores the notion of machine learning that is capable of mitigating the aforesaid issue. This book is valuable for coaches and managers in identifying potential archers during talent identification programs.​

Keywords

Archery Performance Anthropometry Correlation Bio-physiological Indicators High Potential Archers Performance Analysis Talent Identification Sports Psychology Sports Engineering Sports Biomechanics

Authors and affiliations

  • Rabiu Muazu Musa
    • 1
  • Zahari Taha
    • 2
  • Anwar P.P.Abdul Majeed
    • 3
  • Mohamad Razali Abdullah
    • 4
  1. 1.Innovative Manufacturing, Mechatronics and Sports Laboratory, Faculty of Manufacturing EngineeringUniversiti Malaysia PahangPekanMalaysia
  2. 2.Innovative Manufacturing, Mechatronics and Sports Laboratory, Faculty of Manufacturing EngineeringUniversiti Malaysia PahangPekanMalaysia
  3. 3.Innovative Manufacturing, Mechatronics and Sports Laboratory, Faculty of Manufacturing EngineeringUniversiti Malaysia PahangPekanMalaysia
  4. 4.Universiti Sultan Zainal AbidinKuala TerengganuMalaysia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-2592-2
  • Copyright Information The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Intelligent Technologies and Robotics
  • Print ISBN 978-981-13-2591-5
  • Online ISBN 978-981-13-2592-2
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
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