Computer Simulation-Based Analysis and Optimization of Sprinters' Movements

Abstract

Background: Sprinting is a sport that heavily relies on technical movements and explosive power. Through computer simulation technology, the analysis and optimization of sprinting techniques using biomechanics and mathematical models can theoretically provide scientific training data support, helping athletes optimize their techniques and improve their competition performance. Objective: To utilize computer simulation technology, based on biomechanics models, to analyze and optimize the technical movements of sprinters, and to propose theoretical optimization suggestions to help athletes enhance their training effects and competition performance. Methods: Conduct literature research: screen research papers related to sprinting from professional databases and journals, identifying key biomechanical variables in sprinting such as acceleration, speed, force distribution, and mechanical efficiency of movements. Based on actual movement data of athletes during the start, acceleration, and sprint phases, combined with kinematic and dynamic principles, construct a comprehensive biomechanics model considering individual differences. Use R software to create complex biomechanics models, input various movement parameters to simulate the performance of athletes under different technical movements. Conduct a detailed analysis of the simulation results, assess how different movement parameters affect the overall performance of athletes, and identify the most effective combination of technical movements. Use 3D charts and animations to visualize the simulation results, allowing coaches and athletes to intuitively see the potential effects of each technical adjustment. Results: Through simulation analysis, it was identified that acceleration phase time, maximum speed, force during the sprint phase, and starting force are the main factors affecting the 100-meter sprint performance. Optimization suggestions include high-intensity interval training, strength training, speed training, and technical optimization to help athletes improve overall performance. Conclusion: This study demonstrates the effectiveness of computer simulation technology in the analysis and optimization of sprinters' technical movements. Utilizing simulation technology for scientific and refined training can improve athletes' competitive levels and provide stronger support for their training and competition.