融合动捕数据驱动的芭蕾舞健康功能因素模型

A Health Function Factor Model for Ballet Dancing Driven by Dynamic Data Capture

本文通过教学实验、问卷调查、数理统计的方法,对实验中所获的初始数据进行量化并定量定性分析,探讨芭蕾舞健康功能对女生健康的影响,提出了一种融合动捕数据驱动的芭蕾舞健康功能因素模型(Health function factor model,HFFM).采用芭蕾舞健康功能因素模型来区分先后学生芭蕾舞学习权重,采用了封闭式的数学算法,提高测试的效率.实验结果表明,芭蕾舞健康功能因素对高校女生芭蕾舞教学有着积极指导意义.

Through the methods of teaching experiment,questionnaire survey and mathematical statistics,this paper quantifies the initial data obtained in the experiment,discusses the effect of ballet health function on the health of girls,and proposes a model—ballet health function factor model（HFFM）,which is driven by dynamic capture data.Then,this model is used to distinguish the weight of successively ballet learning among students,and closed mathematical algorithm is adopted to improve the efficiency of the test.The experimental results show that ballet＇s health function has a positive guiding significance for the ballet teaching of university girls.