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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM42617

Voice Based Yoga Pose Detection System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM42617

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

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.

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Authors

AVV

Adsul Vaishnavi Vijay

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Abstract

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

Logistic Regression Machine Learning Yoga Pose detection etc

Cite This Article

Adsul Vaishnavi Vijay, "Voice Based Yoga Pose Detection System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025.

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Publication Date

3/20/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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