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Review on Yoga Pose Detection and Feedback System

  • Unique Paper ID: 169461
  • Volume: 11
  • Issue: 6
  • PageNo: 1060-1064
  • Abstract:
  • In an era where health and fitness are becoming increasingly important, personalized tools for self-improvement are essential. This research presents the design and implementation of a real-time Yoga Pose Detection and Feedback System aimed at assisting users in accurately performing yoga postures. The system integrates several key features: real-time yoga pose detection using image processing techniques, feedback generation based on body posture deviations, and a user- friendly interface for pose selection. The pose detection system leverages machine learning algorithms and OpenPose for key-point extraction, while feedback is provided through voice commands and visual cues. The app ensures proper form and posture, improving user experience by making at-home yoga practice more effective. This paper delves into the system’s architecture, challenges encountered, and the overall impact on modern fitness routines.
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  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 6
  • PageNo: 1060-1064

Review on Yoga Pose Detection and Feedback System

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