Comparative analysis of functional and core strength training on developing basketball skills using intelligent feature recognition

Abstract

To explore the effective training strategies of college students’ basketball special ability, this paper conducts a comparative study of functional training and core strength training on college students’ basketball special ability training through intelligent methods. Moreover, this study integrates monocular visual SLAM and LSD-SLAM algorithms into the training method through intelligent methods. Monocular visual SLAM is used to achieve 3D point cloud reconstruction based on LSD-SLAM algorithm, combined with basketball training features to construct an intelligent recognition system. The LSD-SLAM algorithm is used in training to accurately track athlete movements, provide depth information, optimize posture estimation, and assist in functional training and core strength training. The two work together to enhance college basketball specific abilities. The results show that both functional training and core strength training have certain effects on the cultivation of the college students’ basketball special ability, so it is necessary to combine the two to improve the college students’ basketball special ability.