Titlebook: Innovation and Technology in Sports; Proceedings of the I Syed Faris Syed Omar,Mohd Hasnun Arif Hassan,Anwar Conference proceedings 2023 Th

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,Sports Advisors’ Perspectives and Satisfaction Level on Transformational Leadership of Senior Assis. Results show significant differences on perspectives and levels of satisfaction of Sports Advisors based on location of schools and educational credentials. However, there is no significant difference in gender on perspectives and levels of satisfaction of Sports Advisors on Transformational leade

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Development of Motivation Model Towards Anthropometric, Soccer Skills, Maturity and Physical Fitnesdivide groups according to their homogenous psychological attributes of the athletes and discriminant analysis used for determining the differences in player performance. Three groups formed and successfully discriminated three groups on 13 independent variables with 79.82% (forward stepwise) total

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Development of Motor Performance Index: A Preliminary Study Among 7 Years Old Malaysian Kids,rformance, also male kids have a dominant in some physical motor component and anthropometric and also female dominate some of the physical motor component. As a result, these models have the potential to reduce the number of kids with poor motor development. Furthermore, time and efforts can be sav

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An Analysis of Ranking for Football Teams in Malaysia Super League Based on Football Rating System,lo rating), rating while home or away (Pi-rating) and rating for attack and defense (Poisson model). The football rating system mainly rely on the number of goals scored, goals conceded and match results whether at home and away to be evaluated for rating the football team strength in term of attack

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Machine Learning Approach for Malaysia Super League Football Match Outcomes Prediction Based on Eloefore are divided into training and testing set. Machine learning (ML) algorithms such as Naïve Bayes (NB), Logistic Regression (LR), Support Vector Machine (SVM), and Random Forest (RF) have been selected in this paper to predict football matches outcomes for MSL 2021. The accuracy and average of R

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Automated Classification of Woodball Swinging Phases from Inertial Measurement Unit Using Least Squre processed using second-order Butterworth filter with cutoff frequency of 10 Hz, estimated using 2nd order Least Square and the swing phases were classified automatically with labels. The proposed system yields high classification performance with average accuracy of 99% for all swing phases.