摘要
在体育竞赛评审中,借助计算机智能算法完成辅助系统开发,能够完成动作细致评审,得到更加准确的评审结果。基于此,本文提出了系统结构框架,并对系统数据处理方法和动作识别算法进行了探讨。在系统功能实现的过程中,可以依靠深度特征和骨骼关节数据实现特征数据提取,然后利用傅里叶算法完成特征融合和动作分类识别。从系统功能测试结果来看,能够用于准确识别各组难度动作,满足竞赛评审辅助需求。
the sports competition evaluation completes the auxiliary system development with the help of the computer intelligent algorithm,can complete the movement careful evaluation,obtains the more accurate evaluation result.Based on this,this paper puts forward the system structure framework,and a data processing method and action recognition algorithm in the system are discussed in this paper.In the process of system function realization,feature data can be extracted by depth feature and bone joint data,and then feature fusion and motion classification recognition can be accomplished by Fourier algorithm.From the results of the system function test,it can be used to accurately identify the difficult actions of each group and meet the auxiliary requirements of competition evaluation.
作者
尹霞
Yin Xia(sports department,xidian university,xi'an,shaanxi 710071)
出处
《现代科学仪器》
2020年第1期50-53,共4页
Modern Scientific Instruments
关键词
计算机
智能算法
体育竞赛
评审辅助系统
computer
Intelligent algorithm
Sports competition
Review auxiliary system