Fifteenth International Conference on Sport & Society

Abstract

Effective evaluation of player performance is critical in sports, particularly tennis. This study focuses on obtaining information from top-tier tennis players in order to examine their postures. The goal is to build reference patterns for these illustrious athletes, incorporating critical factors like location, posture, angles, and other variables. These established patterns serve as the foundation for advanced analysis, assisting with activities such as strategy planning, performance evaluation, and player conditioning. The major study goal is to investigate posture and mobility during serves by renowned players. Serving has a big impact on tennis results. Coaching, training, and player development may all be improved by optimizing serve posture. This study connects advanced sports analytics with practicality. Its goal is to deliver insights that will improve training and performance. Collecting serve films, generating a specialized dataset, and implementing a powerful computer vision and machine learning model are all part of the strategy. This model examines service footage, finds distinguishing characteristics, and gives insights for improved performance. To recapitulate, this work contributes significantly to sports analytics, particularly in tennis. Its repercussions have the potential to transform coaching and player development, resulting in unprecedented tennis brilliance. It strives to transform tennis training and coaching via the provision of evidence-based insights, ushering in a new age of sporting greatness.