Analysis Of Swimmers' Technical Movement Optimization Schemes Using Sports Biomechanics Algorithms

Abstract

This paper explores the application of Kinematic Variable Prediction Optimization (KVPO) in sports biomechanics, focusing on its effectiveness in analyzing and optimizing movement patterns in swimming and tennis. Utilizing KVPO, we investigated the biomechanical nuances of swimmers' backstroke-to-breaststroke turns, revealing insights into muscle activation patterns and movement dynamics critical for turn performance. Additionally, KVPO was employed to predict racket velocity and ball trajectory in tennis serves, showcasing its versatility in predicting kinematic variables across different sports activities. Through KVPO analysis, we observed a mean activation of 45.2% ± 8.7% for the Deltoid muscle group during the entry into turn phase of backstroke-to-breaststroke transitions. In tennis serves, KVPO accurately predicted racket velocities ranging from 28 to 34 m/s across different stroke techniques, with an average error margin of less than 2 m/s compared to actual observed values. Additionally, KVPO successfully predicted ball trajectories ranging from 3.9 to 6.5 meters, demonstrating its versatility in predicting kinematic variables across sports activities.