Machine learning in elite volleyball : integrating performance analysis, competition and training strategies / Rabiu Muazu Musa, Anwar P.P. Abdul Majeed, Muhammad Zuhaili Suhaimi, Mohd Azraai Mohd Razman, Mohamad Razali Abdullah, Noor Azuan Abu Osman.
Muazu Musa, Rabiu, author.; Abdul Majeed, Anwar P. P., author.; Suhaimi, Muhammad Zuhaili, author.; Mohd Razman, Mohd Azraai, author.; Abdullah, Mohamad Razali, author.; Abu Osman, N. A. (Noor Azuan), author.
2021
GV1015.3
Available Online

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Title Machine learning in elite volleyball : integrating performance analysis, competition and training strategies / Rabiu Muazu Musa, Anwar P.P. Abdul Majeed, Muhammad Zuhaili Suhaimi, Mohd Azraai Mohd Razman, Mohamad Razali Abdullah, Noor Azuan Abu Osman.
Author Muazu Musa, Rabiu, author.
ISBN 9789811631924 (electronic bk.)
9811631921 (electronic bk.)
9811631913
9789811631917
DOI https://doi.org/10.1007/978-981-16-3192-4
Imprint Singapore : Springer, 2021.
Language English
Description 1 online resource
Other Standard Identifiers 10.1007/978-981-16-3192-4 doi
Call Number GV1015.3
Dewey Decimal Classification 796.3250285
Summary This brief highlights the use of various Machine Learning (ML) algorithms to evaluate training and competitional strategies in Volleyball, as well as to identify high-performance players in the sport. Several psychological elements/strategies coupled with human performance parameters are discussed in view to ascertain their impact on performance in elite Volleyball competitions. It presents key performance indicators as well as human performance parameters that can be used in future evaluation of team performance and players. The details outlined in this brief are vital to coaches, club managers, talent identification experts, performance analysts as well as other important stakeholders in the evaluation of performance and to foster improvement in this sport.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Added Author Abdul Majeed, Anwar P. P., author.
Suhaimi, Muhammad Zuhaili, author.
Mohd Razman, Mohd Azraai, author.
Abdullah, Mohamad Razali, author.
Abu Osman, N. A. (Noor Azuan), author.
Series SpringerBriefs in applied sciences and technology, 2191-530X
Available in Other Form Machine learning in elite volleyball.
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Chapter 1. Nature of Volleyball Sport, Performance Analysis in Volleyball, and the Recent Advances of Machine Learning Application in Sports
Chapter 2. The Effect of Competition strategies in influencing Volleyball performance
Chapter 3. Identification of psychological training strategies essential for Volleyball performance
Chapter 4. The Strategic competitional elements contributing to Volleyball performance
Chapter 5. Anthropometric variables in the identification of high-performance Volleyball players
Chapter 6. Performance Indicators predicting medalists and non-medalists in elite men Volleyball competition
Chapter 7. Summary, Conclusion and Future Direction.

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