Intelligent training system for snowboard big air

Liang Jiang, Bo Huo, Qing Sun, Xue Chen, Xianzhi Gao
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Abstract

In this study, an intelligent training analysis system for snowboard big air was established. Based on the non-contact measurement method of vision, the system used high-speed cameras to build a multi-camera array, combined with 3D space camera calibration technology, human body projection matching, and tracking algorithm to track athletes' movements, capture, identify, and analyze athletes' gestures. In addition, based on the technology of kinematic calculation of external force, this study calculates the kinetics parameters of athletes in the process of take-off through the kinematic parameters of the human body, such as the moment of inertia, rotational kinetic energy, ground reaction force and so on. Finally, it establishes the calculation and analysis system of the kinetics parameters of the snowboard big air at the take-off stage. The system is of great significance to monitoring snowboard big air training.
滑雪板大气流智能训练系统
本研究建立了滑雪板大空训练智能分析系统。该系统基于非接触式视觉测量方法,采用高速摄像机搭建多摄像机阵列,结合三维空间摄像机标定技术、人体投影匹配、跟踪算法,对运动员的动作进行跟踪,捕捉、识别、分析运动员的手势。此外,本研究基于外力运动学计算技术,通过人体的运动学参数,如转动惯量、旋转动能、地面反作用力等,计算出运动员在起跳过程中的动力学参数。最后,建立了滑雪板大气流起飞阶段动力学参数的计算分析系统。该系统对滑雪板大空训练的监控具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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