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Research Article

Yoga Pose Detection System

Open Access Peer Reviewed

Authors

  • Sadhana Maurya1
  • Pratibha Sharma2
  • Sanjal Gupta3
  • Sadhana Singh4
  • Sunil Yadav5

1234Dept. Of Computer Science, ITM Gorakhpur, UP, India. 5Asst.Professor, Dept. of Computer Science, ITM Gorakhpur, UP, India.

Article Information

DOI
No DOI
Published Online
May-June 2023
Pages
467-472
Article Type
Research Article
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Abstract

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Abstract: Yoga is a practice that unifies the mind, body, and spirit with the goal of developing a well-rounded personality. A person's body and brain might suffer major harm from incorrect yoga poses and techniques. It was only carried out under the direction of a skilled Guru in the past (teacher). Finding a skilled Guru is challenging in this hectic world with time and location restrictions. It is crucial to start practicing yoga the appropriate way from the beginning. Deep Learning models can be taught to recognize yoga positions and to offer feedback or adjustments as necessary. The first real-time multi-person system that completely changed pose estimation was called Open Pose. In this study, we developed a model that assesses a given human pose using Open Pose. . In order to test whether or not adding more features to the dataset actually improves the model's accuracy, we compared the model's output for 2D and 3D points of the image. Also, we have proposed a straightforward neural network model that accurately analyses the input image and communicates if the stance taken in the image is correct.

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