Yoga Pose Detection and Posture Correction Using MediaPipe Landmarks and Random Forest Classifier

Niranjan Dipak Surve and Ravindra V. Kerkar

International Journal of Scientific Research in Science and Technology, 2026, vol. 13, issue 3, 255-264

Abstract: The study is about a system that uses computer vision and machine learning to identify yoga postures and correct body positions. This system is really good at figuring out if you are doing a yoga pose correctly. The system uses something called MediaPipe to look at pictures of people doing yoga and find the parts of their bodyThen it uses these parts to decide what yoga pose you are doing.The system is like a teacher that checks your pose by looking at the angles of your joints and comparing them to what they should be. If you are not doing the pose correctly the system tells you what you are doing wrong. When they tested this system it worked well. They used a lot of pictures of people doing yoga poses to test it. What they found out is that using computer vision and machine learning together is a way to identify yoga poses and help people do them correctly. This system is great because it is easy to use and you do not need a teacher to help you practice yoga. You can just use the system. It will tell you if you are doing the poses correctly or not. The yoga postures system is a solution that does not require a lot of work to use. The system is good for people who want to practice yoga on their own because it helps them do the yoga postures correctly. The yoga postures system uses machine learning methods to identify yoga postures and correct body positions which's really helpful, for people who practice yoga.

Keywords: Artificial Intelligence; Computer Vision; Yoga Pose Detection; Posture Evaluation; Pose Estimation; Machine Learning; MediaPipe; Joint Angle Analysis (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v13:y2026:i3:id:1598

DOI: 10.32628/IJSRST26133139

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