Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine Learning in Elite Volleyball: Integrating Performance Analysis, Competition and Training Strategies

Machine Learning in Elite Volleyball: Integrating Performance Analysis, Competition and Training Strategies

Suhaimi, Muhammad Zuhaili
Abdul Majeed, Anwar P. P.
Muazu Musa, Rabiu

Paperback

Series: Springerbriefs in Applied Sciences and Technology

Technology & EngineeringSports GeneralGeneral Computers

ISBN10: 9811631913
ISBN13: 9789811631917
Publisher: Springer Nature
Published: Jun 19 2021
Pages: 53
Weight: 0.23
Height: 0.13 Width: 6.14 Depth: 9.21
Language: English
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.

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