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基于数据挖掘技术在人体肌肉力量数据分析中的应用——以人体握力肌肉力量测试数据研究为例
Application of Data Mining Technology in Human Muscle Power Data Analysis——Taking the Testing Data of Muscle Power of Grip Strength as Example
【摘要】 为了科学地评价人体握力肌肉力量测试数据,应用人体肌肉力量测试系统和数据挖掘技术,对人体握力肌肉力量数据进行分析。研究发现,采用肌肉力量F-T变化过程曲线,可定量地反映人体握力的最大力量、启动力量、相对力量等参数,通过应用ID3算法、决策树,可以确定出不同测试参数的根节点,为选择人体握力Gain(K3)指标,作为评价人体握力肌肉力量指标,提出科学依据。
【Abstract】 In order to value the testing data of muscle power of human grip strength scientifically,this paper,applying the testing system of human muscle power and the data mining technology,analyzes the data of human muscle power.The results show that F-T curve reflects the parameters of human body’s maximum power,starting power,relative power and the changing process of muscle power,sets the different root nodes of the parameters by using ID3 algorithm and decision tree.It provides the scientific basis for choosing the targets of human grip power Gain (K3) and also for valuing the human muscle power.
【Key words】 data; mining; analysis; decision tree; muscle power of grip strength;
- 【文献出处】 体育科学 ,China Sport Science , 编辑部邮箱 ,2010年02期
- 【分类号】TP311.13;G804.2
- 【被引频次】21
- 【下载频次】924