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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM39193
Volume:
8 |
11 |
Nov 2024
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.
Fitness activities offer numerous health benefits, but improper execution can lead to inefficiency and potential harm. When performing exercises incorrectly, individuals often fail to maintain the correct form or posture. In this research, a program has been developed to assess and provide feedback on the user’s workout posture. Utilizing a camera, this system offers real-time interaction by detecting joints and evaluating workout accuracy through vector angles. The implementation leverages MediaPipe, a cross- platform ML framework compatible with Windows and Linux computers equipped with a webcam.
KEYWORDS
Publication Date
5/15/2025
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.
Funding Information
No funding information available for this research.
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