SpringerBriefs in Applied Sciences and Technology: Performance Analysis and Talent Identification in Beach Soccer & Sepak-takraw

Muazu Musa, Rabiu; P.P. Abdul Majeed, Anwar; Kosni, Norlaila Azura; Abdullah, Mohamad Razali

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. 

Details

Published by: Springer

Publication Date: 2020-02-18

Format: Paperback

ISBN-13: 9789811532184

DOI: 10.1007/978-981-15-3219-1

Dimensions: 235cm x155cm

Pages: 61