Authors : Sangeetha S; Hemanth Kumar

Volume/Issue : Volume 9 - 2024, Issue 7 - July

Google Scholar : https://tinyurl.com/23ph5jsv

Scribd : https://tinyurl.com/mvajyr72

DOI : https://doi.org/10.38124/ijisrt/IJISRT24JUL1267

Abstract : Yoga posture identification is the method of identifying a particular person’s yoga pose. It might be hard to get a private yoga teacher for every individual. This research uses images to find yoga posture using a deep learning technique called Yolov8. It is able to recognize the posture of yoga through webcam using yolov8 model. One need to train the collected set of data in accordance with the needs, the device is able to detect the various type of the yoga posture which has been trained earlier. This approach assists the peoples in doing yoga especially for beginners who cannot offer personal instructor.

Keywords : Deep Learning, YOLOv8.

References :

1. Dr. Maya Bembde, Swapnali Barude, Pradnya Shinde, Tejaswini Thorat, Deepak Thakar, ” Yoga posture detection and correction system”, International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), Vol. 2, 817-823, 2022.
2. Edwin W. Trejo, Peijiang Yuan, “Recognition of Yoga Poses through an Interactive System with Kinect device”, 2nd International Conference on Robotics and Automation Sciences, 12-17, 2018.
3. Fazil Rishan, Binali De Silva, Sasmini Alawathugoda, Shakeel Nijabdeen, Lakmal Rupasinghe, Chethana Liyanapathirana, “Infinity yoga tutor : yoga posture detection and correction system”, IEEE Xplore, 2021.
4. Manisha Verma, Sudhakar Kumawat, Yuta Nakashima, Shanmuganathan Raman, “Yoga-82: A new dataset for fine-grained classification of human poses”, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 4472-4479, 2020.
5. Mr. Rohit Londhe, Mr. Yash Wanve, Mr. Uday Harle, Mr. Atharva Lohe, Prof. P. S. Patil, “Yoga pose estimation using yolo model”, International Journal of Scientific Research in Engineering and Management (IJSREM)”, Vol. 7, 2023.
6. Prof. Minal Zope, Aniruddh Ghewade, Swapnil Prasad, Omkar Patil, K.M. Chintguntla, “Yoga pose detection using deep learning”, Vol. 10, 2023.
7. Prof. Pragya Sinha, Tejal Shetty, Aakash Pandey , Siddiqui Abdul Rahman, Agastya Sen, “Detection and Correction of Yoga Poses”, Vol. 5, 2023.
8. Prof. Rupal More, Pallavi Late, Yukta Taral, Nilima Ahire, Bhagyashri Baviskar, “Live yoga pose classification using image processing and LR algorithm “,International Journal of Creative Research Thoughts (IJCRT), Vol. 11, 2023.
9. Ranjana Jadhav, Vaidehi Ligde, Rushikesh Malpani, Phinehas Mane, Soham Borkar,  “Aasna: kinematic yoga posture detection and correction  system using CNN”, ITM Web of   Conferences 56, 2023.
10. Rutuja Gajbhiye, Snehal Jarag, Pooja Gaikwad, Shweta Koparde, “AI human pose estimation: yoga pose detection and correction”, International Journal of Innovative Science and Research Technology, Vol. 7, 1649-1658, 2022.
11. Rutuja Jagtap, Monali Zanzane, Rutuja Patil, “Yoga pose detection using machine learning”, International Research Journal of Modernization in Engineering Technology and Science, Vol. 4, 1753-1756, 2022.
12. S. Abarna, V. Rathikarani, P. Dhanalakshmi, “Skeleton pose estimation features based classification of yoga asana using deep learning techniques”, International Journal of Mechanical Engineering , Vol. 7, 2348 – 2355, 2022.
13. Shrinivas Nagargoje, Adesh Shinde, Pranav Tapdiya, Om Shinde, Prof. Anita Devkar, “Yoga pose detection”, International Journal for Research in Applied Science & Engineering Technology (IJRASET), Vol. 11, 2023.
14. Utkarsh Bahukhandi, Dr. Shikha Gupta, “Yoga pose detection and classification using machine learning techniques”, International Research Journal of Modernization in Engineering Technology and Science, Vol. 3, 186-191, 2021.
15. Yash Agrawal, Yash Shah, Abhishek Sharma, “Implementation of machine learning technique for identification of yoga poses”, 9th IEEE International Conference on Communication Systems and Network Technologies, 2020.