Design and application of rhythmic gymnastics auxiliary training system based on Kinect

Qinghua Zhuang
{"title":"Design and application of rhythmic gymnastics auxiliary training system based on Kinect","authors":"Qinghua Zhuang","doi":"10.1117/12.2667911","DOIUrl":null,"url":null,"abstract":"Based on Microsoft Kinect equipment, this paper adopts motion capture technology to collect human motion data in the actual training process of rhythmic gymnastics, designs and develops the functional module of motion data analysis combined with ASP.NET development environment, and integrates and packages other auxiliary functional modules to form an auxiliary training system of rhythmic gymnastics. Aiming at all kinds of problems in the teaching practice of rhythmic gymnastics in colleges and universities, the system will put forward a comprehensive application solution, which takes the physical movements, equipment movements and self-selected complete movements of rhythmic gymnastics students in daily training in colleges and universities as the research objects, takes the transformation and analysis of movement information data as the method, and takes the visual interaction at the network end as the display form. It greatly facilitates the practical application of students and teachers, effectively improves the training effect of students, achieves the purpose of auxiliary training, optimizes the teaching process of rhythmic gymnastics education, and further promotes the process of information teaching construction in colleges and universities.","PeriodicalId":345723,"journal":{"name":"Fifth International Conference on Computer Information Science and Artificial Intelligence","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth International Conference on Computer Information Science and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2667911","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Based on Microsoft Kinect equipment, this paper adopts motion capture technology to collect human motion data in the actual training process of rhythmic gymnastics, designs and develops the functional module of motion data analysis combined with ASP.NET development environment, and integrates and packages other auxiliary functional modules to form an auxiliary training system of rhythmic gymnastics. Aiming at all kinds of problems in the teaching practice of rhythmic gymnastics in colleges and universities, the system will put forward a comprehensive application solution, which takes the physical movements, equipment movements and self-selected complete movements of rhythmic gymnastics students in daily training in colleges and universities as the research objects, takes the transformation and analysis of movement information data as the method, and takes the visual interaction at the network end as the display form. It greatly facilitates the practical application of students and teachers, effectively improves the training effect of students, achieves the purpose of auxiliary training, optimizes the teaching process of rhythmic gymnastics education, and further promotes the process of information teaching construction in colleges and universities.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于Kinect的艺术体操辅助训练系统的设计与应用
本文基于微软Kinect设备,采用动作捕捉技术采集艺术体操实际训练过程中的人体动作数据,并结合ASP设计开发动作数据分析功能模块。. NET开发环境,并对其他辅助功能模块进行集成和打包,形成艺术体操辅助训练系统。针对高校艺术体操教学实践中存在的各种问题,本系统将提出综合应用解决方案,以高校艺术体操学生在日常训练中的肢体动作、器械动作和自选完整动作为研究对象,以动作信息数据的转化分析为方法,并以网络端的视觉交互为展示形式。极大地方便了学生和教师的实际应用,有效地提高了学生的训练效果,达到了辅助训练的目的,优化了艺术体操教育的教学过程,进一步推动了高校教学信息化建设的进程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Design and application of rhythmic gymnastics auxiliary training system based on Kinect Long-term stock price forecast based on PSO-informer model Research on numerical simulation of deep seabed blowout and oil spill range FL-Lightgbm prediction method of unbalanced small sample anti-breast cancer drugs Learning anisotropy and asymmetry geometric features for medical image segmentation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1