Machine Learning in Sports Identifying Potential Archers /

• Main Authors: Muazu Musa, Rabiu (Author, http://id.loc.gov/vocabulary/relators/aut), Taha, Zahari (http://id.loc.gov/vocabulary/relators/aut), P.P.Abdul Majeed, Anwar (http://id.loc.gov/vocabulary/relators/aut), Abdullah, Mohamad Razali (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: SpringerBriefs in Applied Sciences and Technology,
• Subjects: Computational intelligence.; Sports.; Computer simulation.; Sports-Psychological aspects.; Biomedical engineering.; Application software.; Computational Intelligence.; Sport.; Simulation and Modeling.; Sport Psychology.; Biomedical Engineering and Bioengineering.; Computer Appl. in Social and Behavioral Sciences.

This brief highlights the association of different performance variables that influences archery performance and the employment of different machine learning algorithms in the identification of potential archers. The sport of archery is often associated with a myriad of performance indicators namely...

Table of Contents:

• Introduction
• Bio-physiological indicators in evaluating archery performance
• Psychological variables in ascertaining potential archers
• Anthropometry correlation to archery performance
• Physical fitness parameters in the identification of high potential archers
• Concluding remarks.