基于计算机视觉技术的乒乓球技术动作AI评分系统研究与设计  

Research and Design of AI Scoring System for Table Tennis TechniquesBased on Computer Vision Technology

作　　者：刘晓林[1] 胡建华 李贞晶[2] 石晓莉 LIU Xiaolin;HU Jianhua;LI Zhenjing;SHI Xiaoli(School of Computer Engineering and Technology,Guangdong Vocational College of Science and Technology,Zhuhai 519090,China;College of Physical Education,Guangdong Vocational College of Science and Technology,Zhuhai 519090,China)

机构地区：[1]广东科学技术职业学院计算机工程技术学院,广东珠海519090 [2]广东科学技术职业学院体育健康学院,广东珠海519090

出　　处：《软件工程》2023年第8期11-15,共5页Software Engineering

基　　金：广东省普通高校重点领域专项基金项目(2021ZDZX3040)。

摘　　要：鉴于目前乒乓球教学中存在学生挥拍动作不规范、个性化施教不足及教学效率相对较低的三大问题,基于AI(人工智能)计算机视觉技术设计乒乓球技术动作AI评分系统。该系统结合广东科学技术职业学院乒乓球精品课程建设,以乒乓球八个基本技术动作构建AI模型,使用目标检测、姿态估计、动作识别算法对学生的实际动作进行AI评分。实验结果表明,使用乒乓球技术动作AI评分系统有利于开展个性化教学,提高了教学效率,还能支持远程教学,可以在乒乓球教学中推广应用。In view of the three major problems in current table tennis teaching,non-standard student swing movements,insufficient personalized teaching,and relatively low teaching efficiency,this paper proposes to design an AI(Artificial Intelligence)scoring system for table tennis technical movements based on AI computer vision technology.Based on the construction of top-quality table tennis courses in Guangdong Polytechnic of Science and Technology,an AI model with eight basic technical movements of table tennis is built,and target detection,posture estimation,and action recognition algorithms are used to score students'actual movements.The experimental results show that using the AI scoring system for table tennis technical movements is beneficial for carrying out personalized teaching,improves teaching efficiency,and supports distance teaching.Therefore,this proposed system can be promoted and applied in table tennis teaching.

关 键 词：乒乓球 技术动作教学 动作AI评分 计算机视觉 人工智能 

分 类 号：TP27.4[自动化与计算机技术—检测技术与自动化装置]