足球训练下运动员肌肉生物力学影响建模仿真

Modeling and Simulation of Muscle Biomechanics of Athletes in Football Training

对足球训练下运动员肌肉生物力学影响进行准确分析,可为运动员专项运动技术水平和专项力量训练提供理论基础。在进行足球训练的运动员肌肉生物力学影响分析时,需要依据各关节上力矩,提取不同足球训练阶段下运动员肌肉的生物力学特征,获取足球训练和运动员肌肉生物力学影响关系,而传统的分析方法主要通过对足球训练特性进行分析,无法给出足球训练与肌肉之间的影响关系,存在影响分析误差大的问题。提出基于神经网络的足球训练下运动员肌肉生物力学影响建模方法。融合于神经网络理论从生物力的角度组建足球训练下的肌肉影响模型。反求出作用在各关节上力矩,提取不同足球训练阶段下运动员肌肉肉的生物力学特征,以牛顿-欧拉逆动力学方法对组建的影响模型参数进行动态标定,精确地分析足球训练对肌肉生物力学特性影响。仿真结果表明,所提方法分析精确度高,为更好地研究足球运动员肌肉系统的动力学和生物学提供了有效地科学依据。

It can provide the theoretical basis for technological level of athlete specific sport and special strength training to analyze the biomechanics influence of athlete muscle in football training. In this paper, we proposed a bio- mechanics influence modeling method of athlete muscle in football training based on neural network. Firstly, the we built the muscle influence model from the biomechanics view integrated with neural network theory. Then we calculated the moment acting on each joint inversely and extracted the biomechanics feature of athlete muscle. Finally, we made the dynamic calibration to model parameter using Newton-Euler inverse dynamic method and analyzed the influence of muscle biomechanics feature accurately. The simulation results show that the method has higher analysis precision, and provides effective scientific basis for kinetics and biology of athiete muscle system.