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Machine Learning in Sports: Identifying Potential Archers

Rabiu Muazu, Musa and Zahari, Taha and Anwar, P. P. Abdul Majeed and Mohamad Razali, Abdullah (2019) Machine Learning in Sports: Identifying Potential Archers. SpringerBriefs in Applied Sciences and Technology . Springer, Singapore, pp. 1-9. ISBN 978-981-13-2592-2

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Abstract

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.​

Item Type: Book
Uncontrolled Keywords: Archery Performance; Anthropometry Correlation; Bio-physiological Indicators; High Potential Archers; Performance Analysis Talent; Identification Sports; Psychology Sports; Engineering Sports; Biomechanics
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Manufacturing Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 15 Apr 2019 04:40
Last Modified: 15 Apr 2019 04:40
URI: http://umpir.ump.edu.my/id/eprint/24656
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