体操运动员平衡木平衡技能优化训练研究仿真

发布时间：2018-02-09 08:23

本文关键词： 平衡木训练下肢平衡能力影响　出处：《计算机仿真》2017年07期 　论文类型：期刊论文

【摘要】：对平体操运动员平衡木平衡技能进行优化训练,可以提高运动员的下肢平衡性,提高比赛成绩。进行平衡技能训练时,应提取平衡木训练前后的运动员下肢平衡能力特征,组建运动员下肢平衡能力影响评价模型,计算下肢平衡指数判断阈值,利用阈值完成优化训练,但是传统方法通过分析运动员下肢平衡的变化趋势完成训练,但是不能对下肢平衡特征进行提取,无法获取平衡影响模型和平衡指数判断阈值,降低了技能训练的效果。提出一种基于博弈理论的平体操运动员平衡木平衡技能优化训练方法。该方法先以运动员最大肌肉力量为依据,得到平衡木训练前后实际下肢角度位置与目标位置之间的差值,从生理学反射机制角度给出不同频率平衡木训练下运动员下肢平衡评价数据,提取平衡木训练前后的运动员下肢平衡能力特征,融合于特征选取方法筛选出各分类器中最佳的影响特征空间,依据Markov博弈理论组建平衡木训练对运动员下肢平衡能力影响评价模型,获取耐力疲劳指数判断阈值,利用阈值完成平衡木训练对运动员下肢平衡能力影响分析。仿真结果表明,所提方法统计精确度高,体操运动员平衡木平衡技能优化训练评价以及运动员选材提供科学依据和有价值的理论参考。
[Abstract]:In order to improve the balance of lower extremity and improve the performance of the competition, the balance beam balance skills of the horizontal gymnasts can be optimized and the characteristics of the balance ability of the athletes before and after the balance beam training should be extracted when the balance skills are trained. The influence evaluation model of athletes' lower limb balance ability was established, the threshold value of lower extremity balance index was calculated, and the optimal training was completed by using the threshold value. However, the traditional method completed the training by analyzing the changing trend of athletes' lower limb balance. However, it can not extract the characteristics of lower extremity balance, and can not obtain the balance influence model and balance index judgment threshold. The effect of skill training is reduced. A balance beam balance skill optimization training method for flat gymnasts based on game theory is proposed. The method is based on the maximum muscle strength of the athletes. The difference between the actual lower limb angle position and the target position before and after the balance beam training was obtained, and the evaluation data of lower limb balance of athletes under different frequency balance beam training were given from the point of view of physiological reflex mechanism. The balance beam training before and after training athletes' lower extremity balance ability features are extracted, and the best influence feature space of each classifier is selected by the method of feature selection. According to Markov game theory, the evaluation model of balance beam training on athletes' lower limb balance ability is established, and the threshold value of endurance fatigue index is obtained, and the balance beam training is completed by using the threshold value to analyze the influence of balance beam training on athletes' lower limb balance ability. The proposed method has high statistical accuracy and provides scientific basis and valuable theoretical reference for balance beam balance skill optimization training evaluation and athlete selection.
【作者单位】：阿坝师范学院体育系;
【分类号】：G832.7;O225

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