https://granthaalayahpublication.org/ojs-sys/ijoest/issue/feed 2026-01-06T09:36:25+00:00 IJOEST Editorial Notification editor@ijoest.com Open Journal Systems <p>International Journal of Engineering Science Technologies is an open access peer reviewed journal that provides bi-monthly publication of articles in all areas of Engineering, Technologies and Science. It is an international refereed e-journal. IJOEST have the aim to propagate innovative research and eminence in knowledge. IJOEST Journals has become a prominent contributor for the research communities and societies. IJOEST Journal is making the bridge between research and developments.</p> <p>Editor-in-chief:<br />Dr. Pratosh Bansal (Professor, Department of Information Technology, Institute of Engineering &amp; Technology, Devi Ahilya Vishwavidyalaya, India)</p> <p>Managing Editor:<br />Dr. Tina Porwal (PhD, Maharani Laxmibai Girls P.G. College, Indore, India)</p> https://granthaalayahpublication.org/ojs-sys/ijoest/article/view/723 2025-11-13T10:33:43+00:00 Pritesh Dineshbhai Gohil pritesh.gohil@glsuniversity.ac.in

<p>The aim of this study is to use computer vision and statistical analysis to measure how yoga practice can improve body posture. A Python-based model was developed that can recognize different yoga poses from images and then create a 3D skeleton of the human body using landmark points. For each pose, twelve important landmarks such as shoulders, elbows, hips, and knees were identified, and angles were calculated to check the correctness of posture. To evaluate whether these landmarks showed improvement after one month of yoga practice, we applied Hotelling’s T² test, a multivariate statistical method that can detect overall changes across several joints at the same time. The results showed that some landmarks had significant differences before and after yoga, meaning that the posture became more aligned and balanced. This method provides an objective way of checking yoga progress instead of relying only on visual observation. The study demonstrates that by combining image processing with statistical testing, it is possible to give meaningful feedback to yoga practitioners, trainers, and even rehabilitation experts in a simple and scientific manner.</p>

2026-01-06T00:00:00+00:00 Copyright (c) 2026 Pritesh Gohil