个人运动助理:用改良的开放姿势纠正运动姿势

Q4 Mathematics Philippine Statistician Pub Date : 2022-08-19 DOI:10.17762/msea.v71i4.1871
Manisha C. Patel, Nilesh B. Kalani
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引用次数: 1

摘要

健身运动或瑜伽很有好处吗?有利于个人健康和健康;然而,如果用户正确执行,它们也可能是无效的和潜在的危险。当使用者没有使用正确的形式或姿势时,就会出现练习错误。在我们的工作中,我们介绍了Personal Exercise Assistant,这是一个检测用户运动姿势并提供个性化反馈的应用程序。Modified Open Pose在此应用程序中用作姿态估计器。Open Pose是一个由多阶段CNN组成的预训练模型,用于检测用户的姿势。然后,该应用程序通过练习评估姿势的矢量几何,以提供有用的反馈。姿态估计是一种利用人体图像或视频计算人体关键关节空间位置的方法。修正开放姿态是一个轻量级的(8bit量化版本)开放姿态。个人运动助理工作瑜伽练习和支持任何Windows或Linux电脑与GPU。
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Personal Exercise Assistant: Correcting Exercise Posture using Modified Open pose
Fitness exercises or yoga are very bene?cial to personal health and ?tness; however, they can also be ineffective and potentially dangerous if performed in correctly by the user. Exercise mistakes are made when the user does not use the proper form, or pose. In our work, we introduce Personal Exercise Assistant, an application that detects the user’s exercise pose and provides personalized feedback. Modified Open Pose is used as a Pose estimator in this application. Open Pose is a pre trained model composed of a multi-stage CNN to detect a user’s posture. This application then evaluates the vector geometry of the pose through an exercise to provide helpful feedback. Pose estimation is a method in which spatial locations of key body joints is calculated using image or video of the person. Modified open pose is a light weight (8bit Quantized version) Open pose. Personal Exercise Assistant works on yoga exercises and supports any Windows or Linux computer with a GPU.
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来源期刊
Philippine Statistician
Philippine Statistician Mathematics-Statistics and Probability
CiteScore
0.50
自引率
0.00%
发文量
92
期刊介绍: The Journal aims to provide a media for the dissemination of research by statisticians and researchers using statistical method in resolving their research problems. While a broad spectrum of topics will be entertained, those with original contribution to the statistical science or those that illustrates novel applications of statistics in solving real-life problems will be prioritized. The scope includes, but is not limited to the following topics:  Official Statistics  Computational Statistics  Simulation Studies  Mathematical Statistics  Survey Sampling  Statistics Education  Time Series Analysis  Biostatistics  Nonparametric Methods  Experimental Designs and Analysis  Econometric Theory and Applications  Other Applications
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