Machine Learning in Sports Identifying Potential Archers [Paperback]

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 bio-physiological, psychological, anthropometric as well as physical fitness. Traditionally, the determination of potential archers is carried out by means of conventional statistical techniques. Nonetheless, such methods often fall short in associating non-linear relationships between the variables. This book explores the notion of machine learning that is capable of mitigating the aforesaid issue. This book is valuable for coaches and managers in identifying potential archers during talent identification programs.

Dr Rabiu Muazu Musa holds a PhD degree from Universiti Sultan Zainal Abidin (UniSZA), Malaysia. He obtained his MSc in Sports Science from UniSZA in 2015 and his BSc in Physical and Health Education at Bayero University Kano, Nigeria in 2011. His PhD research focused on the development of multivariate and machine learning models for athletic performance. His research interests include performance analysis, health promotion, sports psychology, exercise science, talent identification, test and measurement as well as machine learning.

Mr Anwar P.P. Abdul Majeed graduated with a first class honours in B.Eng. Mechanical Engineering from Universiti Teknologi MARA (UiTM), Malaysia. He obtained an MSc. in Nuclear Engineering from Imperial College London, United Kingdom. He is currently pursuing his PhD studies at the Innovative Manufacturing, Mechatronics and Sports Laboratory, Faculty of Manufacturing Engineering, University Malaysia Pahang. His research interest includes computational mechanics, dynamics, vibration, control, acoustics, sports engineering as well as machine learning.