Design and Implementation of a Biotechnology-Driven Basketball Physical Training System Using Virtual Simulation Technology
Xiaojun Wang
College of Physical Education, Weinan Normal University, Weinan 714099, Shaanxi, China
DOI:https://doi.org/10.5912/jcb2529
Abstract:
To meet the increasing demand for personalized basketball training solutions within biotechnology applications—such as sports medicine and athlete health management—this study presents the design and implementation of an advanced basketball physical training system utilizing 3D virtual simulation technology. The system integrates adaptive image processing algorithms, including traditional and content-based image scaling techniques, to enhance motion capture analysis in basketball-specific training scenarios. By leveraging virtual simulation, the system models physiological responses during training, enabling real-time monitoring of cardiovascular parameters and biomechanical performance metrics essential for biotechnology-driven sports science research. The intelligent platform facilitates precise tracking of training intensity, predicts injury risks, and optimizes exercise routines, ensuring alignment with the biotech industry's emphasis on data-driven health and performance analytics. Experimental validation confirms the system’s efficacy in enhancing performance assessment and injury prevention strategies. This research contributes to the advancement of virtual simulation technologies in sports biotechnology by establishing a scalable and integrative framework that bridges physical training analytics with biomedical monitoring systems, supporting precision health management in athletic development.