Yoga Pose Trainer and Analyser: Machine Learning (TensorFlow and Open CV)

Shubham Bandgar, Mihir Vanave, Kaivalya Bulbule
{"title":"Yoga Pose Trainer and Analyser: Machine Learning (TensorFlow and Open CV)","authors":"Shubham Bandgar, Mihir Vanave, Kaivalya Bulbule","doi":"10.48001/joaii.2023.1122-24","DOIUrl":null,"url":null,"abstract":"The \"Yoga Pose Trainer and Analyzer\" is a sophisticated software system designed to enhance the yoga experience for practitioners of all levels. This project combines computer vision, machine learning, and user-friendly interfaces to provide valuable insights and guidance during yoga sessions. Users can interact with the system, receiving real-time feedback on their yoga poses and personalized recommendations to improve their practice. The core functionalities of the system include pose recognition and classification. Using advanced computer vision techniques, the system identifies key points on the user's body and classifies their pose, accurately determining which yoga asana (pose) they are performing. Additionally, users can specify their goals or desired poses, and the system tailors their practice accordingly. The software provides a comprehensive library of yoga poses, offering detailed instructions and highlighting the benefits of each pose. Users can track their progress over time, set goals, and receive guidance on how to achieve their objectives. Safety and privacy considerations are paramount, with the system promoting proper form to prevent injury and ensuring user data security.","PeriodicalId":201326,"journal":{"name":"Journal of Artificial Intelligence and Imaging","volume":"27 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Artificial Intelligence and Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48001/joaii.2023.1122-24","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

The "Yoga Pose Trainer and Analyzer" is a sophisticated software system designed to enhance the yoga experience for practitioners of all levels. This project combines computer vision, machine learning, and user-friendly interfaces to provide valuable insights and guidance during yoga sessions. Users can interact with the system, receiving real-time feedback on their yoga poses and personalized recommendations to improve their practice. The core functionalities of the system include pose recognition and classification. Using advanced computer vision techniques, the system identifies key points on the user's body and classifies their pose, accurately determining which yoga asana (pose) they are performing. Additionally, users can specify their goals or desired poses, and the system tailors their practice accordingly. The software provides a comprehensive library of yoga poses, offering detailed instructions and highlighting the benefits of each pose. Users can track their progress over time, set goals, and receive guidance on how to achieve their objectives. Safety and privacy considerations are paramount, with the system promoting proper form to prevent injury and ensuring user data security.
瑜伽姿势训练器和分析器:机器学习(TensorFlow 和 Open CV)
瑜伽姿势训练器和分析器 "是一个复杂的软件系统,旨在为各种水平的瑜伽练习者提升瑜伽体验。该项目结合了计算机视觉、机器学习和用户友好界面,可在瑜伽练习过程中提供有价值的见解和指导。用户可以与该系统互动,接收有关其瑜伽姿势的实时反馈和个性化建议,以改进其练习。该系统的核心功能包括姿势识别和分类。利用先进的计算机视觉技术,系统可以识别用户身体上的关键点,并对其姿势进行分类,从而准确判断用户正在练习的瑜伽体式(姿势)。此外,用户还可以指定自己的目标或想要的姿势,系统会据此调整他们的练习。该软件提供了一个全面的瑜伽体式库,提供详细的指导并强调每个体式的益处。用户可以跟踪自己一段时间的进展情况,设定目标,并接受如何实现目标的指导。安全和隐私是最重要的考虑因素,系统提倡正确的姿势,以防止受伤,并确保用户数据安全。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信