A Method for Specifying Yoga Poses Based on Deep Learning, Utilizing OpenCV and Media Pipe Technologies

Authors

  • T Anuradha Department of Information Technology, VR Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India
  • N. Krishnamoorthy Department of Software Systems and Engineering, Vellore Institute of Technology, Vellore Tamilnadu, India
  • C.S. Pavan Kumar Department of Information Technology, VR Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India
  • L.V. Narasimha Prasad Department of Computer Science and Engineering, Institute of Aeronautical Engineering, Hyderabad, Telangana, India
  • Anilkumar Chunduru Department of Information Technology, GMR Institute of Technology, Rajam, Srikakulam, Andhra Pradesh, India
  • Usha Moorthy Department of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, India

DOI:

https://doi.org/10.12694/scpe.v25i2.2590

Keywords:

Deep Learning, Media Pipe, Skeletonization, VGG19, VGG16, OpenCV

Abstract

Yoga is a years discipline that calls for physical postures, mental focus, and deep breathing. Yoga practice can enhance stamina, power, serenity, flexibility, and well‐being. Yoga is currently a well-liked type of exercise worldwide. The foundation of yoga is good posture. Even though yoga offers many health advantages, poor posture can lead to issues including muscle sprains and pains. People have become more interested in working online than in person during the last few years. People who are accustomed to internet life and find it difficult to find the time to visit yoga studios benefit from our strategy. Using the web cameras in our system, the model categorizes the yoga poses, and the image is used as input. However, the media pipe library first skeletonizes that image. Utilizing a variety of deep learning models, the input obtained from the yoga postures is improved to improve the asana. The algorithms like VGG16 (Visual Geometric Group), VGG19, Convo2d, CNN.

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Published

2024-02-24

Issue

Vol. 25 No. 2 (2024)

Section

Special Issue - Scalability and Sustainability in Distributed Sensor Networks