摘要
目前,我国正处于体育大国到体育强国转换的关键阶段,急需新一代信息技术尤其是人工智能技术来发展体育科技。因此,该文介绍了卷积神经网络、目标检测、目标追踪以及动作识别等体育领域所需关键人工智能技术的基本原理,并从智能教练、辅助训练、智能新闻写作、智能判罚4个主要场景来分析人工智能在体育领域的应用效果,探讨了人工智能在体育领域应用的可行性与应用方法。基于分析的结果,针对人工智能在体育应用领域系列问题,提出了初步的解决方案。
At present,China is in the key stage of transforming from a big sports country to a sports power.A new generation of information technology,especially artificial intelligence technology,is urgently needed to develop sports technology.Therefore,this paper introduces the basic principles of key artificial intelligence technologies needed in the field of sports,such as convolutional neural network,target detection,target tracking and action recognition.It also analyzes the application effect of artificial intelligence in the field of sports from four main scenes:intelligent coach,auxiliary training,intelligent news writing and intelligent punishment,and discusses the feasibility and application method of the application of artificial intelligence in the field of sports.Based on the analysis results,this paper puts forward a preliminary solution to a series of problems in the application of artificial intelligence in sports.
作者
杨耿
蔡铁
华悦来
林仕龙
黄巍
陈华洋
赖红
李钦
YANG Geng;CAI Tie;HUA Yuelai;LIN Shilong;HUANG Wei;CHEN Huayang;LAI Hong;LI Qin(Shenzhen Institute of Information Technology,Shenzhen,Guangdong Province,518000 China)
出处
《当代体育科技》
2022年第9期1-5,9,共6页
Contemporary Sports Technology
基金
深圳市教育科学规划课题(ybzz20013)
深圳市教育科学规划课题(ybfz20038)
广东省教育厅科研平台和项目(PT2021C002)
深圳信息职业技术学院平台项目(PT2019E001)。
关键词
人工智能
体育
卷积神经网络
智能教练
智能判罚
Artificial intelligence
Sports
Convolution neural network
Intelligent coach
Intelligent judgment
