International Journal of Progressive Research in Engineering Management and Science
(Peer-Reviewed, Open Access, Fully Referred International Journal)

ISSN:2583-1062
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Paper Details

YOGA POSE DETECTION USING MACHINE LEARNING (KEY IJP************844)

  • N R Vishruth,Syed Adnan ,Shishira S,Monika H B,Dr. Sharath Kumar Y.h,Amruth V

Abstract

Yoga, as a holistic practice for physical and mental well-being, has gained significant popularity in recent years. With the increasing integration of technology in various domains, there is a growing interest in leveraging machine learning techniques to automate and enhance different aspects of yoga practice. One such aspect is the detection and recognition of yoga poses, which plays a crucial role in providing feedback, tracking progress, and ensuring correct form during yoga sessions.In this research paper, we present a novel approach for yoga pose detection using machine learning. Our proposed system combines computer vision and machine learning algorithms to analyze images or videos of individuals performing yoga poses and accurately identify the specific pose being executed. This automated pose detection can benefit both yoga practitioners and instructors by providing real-time feedback, enabling self-correction, and facilitating personalized guidance.The key stages of our approach include pose estimation, feature extraction, and classification. Advanced pose estimation algorithms are employed to localize key body joints and construct a skeletal representation of the yoga practitioner. From this skeletal data, discriminative features such as joint angles, body proportions, and spatial relationships are extracted. These features serve as meaningful representations of the yoga pose and are used as inputs to our machine learning model.

DOI LINK : 10.58257/IJPREMS31399 https://www.doi.org/10.58257/IJPREMS31399
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