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2021 | OriginalPaper | Buchkapitel

5. Anthropometric Variables in the Identification of High-performance Volleyball Players

verfasst von : Rabiu Muazu Musa, Anwar P. P. Abdul Majeed, Muhammad Zuhaili Suhaimi, Mohd Azraai Mohd Razman, Mohamad Razali Abdullah, Noor Azuan Abu Osman

Erschienen in: Machine Learning in Elite Volleyball

Verlag: Springer Singapore

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Abstract

In this chapter, we delve into the importance of certain anthropometric- and age-related variables in the detection of high-performance players during an indoor volleyball tournament. It is demonstrated that high-performance players in this sport are essentially taller, relatively younger, as well as slightly heavier, whilst huge body size coupled with higher age is found to be associated with low performance in the sport of men indoor volleyball. Moreover, an ANN-based classification model was found to be effective in the identification of the performance classes of the players.

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Vorheriges Kapitel The Strategic Competitional Elements Contributing to Volleyball Performance

Nächstes Kapitel Performance Indicators Predicting Medallists and Non-medallists in Elite Men Volleyball Competition

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Titel: Anthropometric Variables in the Identification of High-performance Volleyball Players
verfasst von: Rabiu Muazu Musa
Anwar P. P. Abdul Majeed
Muhammad Zuhaili Suhaimi
Mohd Azraai Mohd Razman
Mohamad Razali Abdullah
Noor Azuan Abu Osman
Verlag: Springer Singapore
Buch: Machine Learning in Elite Volleyball
Print ISBN: 978-981-16-3191-7

Electronic ISBN: 978-981-16-3192-4

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-981-16-3192-4_5

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