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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42617
Volume:
9 |
3 |
Mar 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
A system for accurately recognizing and assessing Yoga poses using deep learning. The system helps people learn Yoga by evaluating their poses through a regular PC camera. It first detects the Yoga pose using a method that looks at key body parts. An improved algorithm is also introduced to calculate scores for each pose, which works for all types of poses. The system was tested with different Yoga poses in various environments to check its reliability. Additionally, a hybrid machine learning model is used, where logistic regression helps identify Yoga poses in real-time videos by analyzing key points from each frame detected by OpenPose, a pose detection tool.
KEYWORDS
Publication Date
3/20/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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