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TitleMachine Learning in Sports [electronic resource] : Identifying Potential Archers / by Rabiu Muazu Musa, Zahari Taha, Anwar P.P.Abdul Majeed, Mohamad Razali Abdullah
ImprintSingapore : Springer Singapore : Imprint: Springer, 2019
Edition 1st ed. 2019
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Descript XII, 45 p. 11 illus. in color. online resource


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


Introduction -- Bio-physiological indicators in evaluating archery performance -- Psychological variables in ascertaining potential archers -- Anthropometry correlation to archery performance -- Physical fitness parameters in the identification of high potential archers -- Concluding remarks

Engineering Computer simulation Sports-Psychological aspects Biomedical engineering Social sciences -- Data processing Computational Intelligence. Sport. Simulation and Modeling. Sport Psychology. Biomedical Engineering and Bioengineering. Computer Appl. in Social and Behavioral Sciences.


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