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  Published Paper Details:

  Paper Title

Smart Fitness Training System using Computer Vision

  Authors

  Shaik Rasool,  Zohaib Akhtar,  Sameera Begum,  Murtuza

  Keywords

Pose Estimation, MediaPipe, Machine Learning, Fitness Training, Correct Exercise Posture.

  Abstract


Regular exercise is crucial for staying healthy but doing it wrong can lead to pain and injury, especially for older people. Personal trainers can be pricey, and not everyone can afford one. That is where our smart fitness training system comes in. It is like having a virtual trainer that helps you with your exercise postures, using just a webcam. We tested different computer models to see how well they recognize different exercises, and they did well. This means our system could be a reliable way to make sure you are doing your exercises right and staying safe. In addition, utilizing technology you probably already have makes it way cheaper and easier than hiring a personal trainer. Our research shows that this system could be a game-changer for keeping people healthy and happy during their workouts.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2407983

  Paper ID - 266861

  Page Number(s) - i772-i777

  Pubished in - Volume 12 | Issue 7 | July 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Shaik Rasool,  Zohaib Akhtar,  Sameera Begum,  Murtuza,   "Smart Fitness Training System using Computer Vision", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 7, pp.i772-i777, July 2024, Available at :http://www.ijcrt.org/papers/IJCRT2407983.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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