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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM17136

Live Yoga Pose Classification Using Image Processing, Deep Learning and LR Algorithm

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM17136

Volume:

6 |

12 |

Dec 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
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

PRM

Prof. Rupal More

PL

Pallavi Late

YT

Yukta Taral

NA

Nilima Ahire

BB

Bhagyashri Baviskar

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Abstract

An approach to accurately acknowledge various Yoga pose Assess deep learning algorithms has been presented during this work. During system, our purpose to access a Yoga pose assessment technique using pose detection to assist the self-learning of Yoga. The system first detects a Yoga pose using multi human joint parts detection only with laptop camera. During this system, we have a tendency to additionally propose AN improved formula to calculate scores which will of all poses. Our application is evaluated on completely different Yoga poses. A hybrid Machine learning model is proposed using linear Regression algorithm for Yoga recognition on real-time videos, where Linear regression is used to extract features from key-points of each frame obtained from Open-Pose.

KEYWORDS

– Linear Regression Machine Learning Yoga Pose detection etc.

Cite This Article

Prof. Rupal More, Pallavi Late, Yukta Taral, Nilima Ahire, Bhagyashri Baviskar, "Live Yoga Pose Classification Using Image Processing, Deep Learning and LR Algorithm," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 12, Dec 2022.

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Publication Date

12/11/2022

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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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