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Machine Learning in Team Sports : Performance Analysis and Talent Identification in Beach Soccer & Sepak-takraw / by Rabiu Muazu Musa, Anwar P.P. Abdul Majeed, Norlaila Azura Kosni, Mohamad Razali Abdullah.

By: Muazu Musa, Rabiu, autor
Contributor(s): SpringerLink (Online service) | P.P. Abdul Majeed, Anwar., autor | Kosni, Norlaila Azura, autor | Abdullah, Mohamad Razali, autor
Material type: materialTypeLabelE-bookSeries: (SpringerBriefs in Applied Sciences and Technology, 2191-530X); (Intelligent Technologies and Robotics (Springer-42732)).Publisher: Singapore : Springer Singapore, 2020Edition: First edition 2020.Description: 1 recurso en línea (X, 61 páginas) : 26 ilustraciones, 24 ilustraciones a color.ISBN: 9789811532191.Subject: Deportes -- Proceso de datos | Aprendizaje automáticoOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
An Overview of Beach Soccer, Sepak Takraw and the Application of Machine Learning in Team Sports -- Key performance indicators in elite beach soccer -- Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer -- Identifying talent in sepak takraw via Anthropometry indexes -- Physical fitness parameters in the identification of high potential sepak takraw players -- Relationship between psycho-maturity and performance of sepak takraw -- Concluding Remarks.
Abstract: This brief highlights the application of performance analysis tools in data acquisition, and various machine learning algorithms for evaluating team performance as well as talent identification in beach soccer and sepak takraw. Numerous performance indicators and human performance parameters are considered based on their relevance to each sport. The findings presented here demonstrate that the key performance indicators as well as human performance parameters can be used in the future evaluation of team performance as well as talent identification in these sports. Accordingly, they offer a valuable resource for coaches, club managers, talent identification experts, performance analysts and other relevant stakeholders involved in performance assessments. .
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Actividad Física y Deporte GV568 2020 EB (Browse shelf(Opens below)) Acceso electrónico eBook.23042096
Total holds: 0

An Overview of Beach Soccer, Sepak Takraw and the Application of Machine Learning in Team Sports -- Key performance indicators in elite beach soccer -- Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer -- Identifying talent in sepak takraw via Anthropometry indexes -- Physical fitness parameters in the identification of high potential sepak takraw players -- Relationship between psycho-maturity and performance of sepak takraw -- Concluding Remarks.

This brief highlights the application of performance analysis tools in data acquisition, and various machine learning algorithms for evaluating team performance as well as talent identification in beach soccer and sepak takraw. Numerous performance indicators and human performance parameters are considered based on their relevance to each sport. The findings presented here demonstrate that the key performance indicators as well as human performance parameters can be used in the future evaluation of team performance as well as talent identification in these sports. Accordingly, they offer a valuable resource for coaches, club managers, talent identification experts, performance analysts and other relevant stakeholders involved in performance assessments. .

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