Open Access
Issue
ITM Web Conf.
Volume 56, 2023
First International Conference on Data Science and Advanced Computing (ICDSAC 2023)
Article Number 05007
Number of page(s) 11
Section Machine Learning & Neural Networks
DOI https://doi.org/10.1051/itmconf/20235605007
Published online 09 August 2023
  1. Anilkumar, Ardra, Athulya K.T., Sarath Sajan, and Sreeja K.A. “Pose Estimated Yoga Monitoring System.” Available at SSRN3882498 (2021). [Google Scholar]
  2. Jose, Josvin, and S. Shailesh, “Yoga asana identification: a deep learning approach.” In IOP Conference Series: Materials Science and Engineering, vol. 1110, no. 1, p. 012002. IOP Publishing 2021). [CrossRef] [Google Scholar]
  3. Nagalakshmi Vallabhaneni, Dr. P. Prabhavathy. “The analysis of the impact of yoga on healthcare and conventional strategies for human pose recognition.” Turkish Journal of Computer and Mathematics Education (TURNCOAT) 12, no. 6 (2021): 1772-1783. [CrossRef] [Google Scholar]
  4. Kothari, Shruti. “Yoga Pose Classification Using Deep Learning.” (2020). [Google Scholar]
  5. Chiddarwar, Girija Gireesh, Abhishek Ranjane, Mugdha Chindhe, Rachana Deodhar, and Palash Gangamwar. “AI-based yoga pose estimation for android application.” Int J Inn Scien Res Tech 5(2020): 1070–1073. [CrossRef] [Google Scholar]
  6. Palanimeera, J., and K. Ponmozhi. “Classification of yoga pose using machine learning techniques.” Materials Today: Proceedings 37(2021): 2930–2933. [CrossRef] [Google Scholar]
  7. Kishore, D. Mohan, S. Bindu, and Nandi Krishnamurthy Manjunath. “Estimation of yoga postures using machine learning techniques.” International Journal of Yoga 15, no. 2 (2022): 137. [CrossRef] [Google Scholar]
  8. Rishan, Fazil, Binali De Silva, Sasmini Alawathugoda, Shakeel Nijabdeen, Lakmal Rupasinghe, and Chethana Liyanapathirana. “Infinity yoga tutor: Yoga posture detection and correction system.” In 2020 5th International Conference on Information Technology Research (ICITR), pp. 1-6. IEEE, (2020). [Google Scholar]
  9. Thar, Maybel Chan, Khine Zar Ne Winn, and Nobuo Funabiki. “A proposal of yoga pose assessment method using pose detection for self-learning.” In 2019 International Conference on Advanced Information Technologies (ICAIT), pp. 137-142. IEEE, (2019). [CrossRef] [Google Scholar]
  10. Bakshi, Aarti, Danish Sheikh, Yasmin Ansari, Chetan Sharma, and Harishchandra Naik. “Pose estimate based yoga instructor.” International Journal of Recent Advances in Multidisciplinary Topics 2, no. 2 (2021): 70-73. [Google Scholar]
  11. Eichner, Marcin, and Vittorio Ferrari. “Human pose co-estimation and applications.” IEEE transactions on pattern analysis and machine intelligence 34, no. 11 (2012): 2282-2288. [CrossRef] [Google Scholar]
  12. Agrawal, Yash, Yash Shah, and Abhishek Sharma, “Implementation of machine learning techniques for identification of yoga poses.” In 2020IEEE 9th international conference on communication systems and network technologies (CSNT), pp. 40-43. IEEE, (2020). [CrossRef] [Google Scholar]
  13. Kutálek, Jin, and K. Kutálek. “Detection of Yoga Poses in Image and Video.” Brno Faculty University of Information and Technology (2021). [Google Scholar]
  14. Bahukhandi, Utkarsh, and Shikha Gupta. “Yoga pose detection and classification using machine learning techniques.” Int Res J Mod Eng Technol Sci 3, no. 12 (2021). [Google Scholar]
  15. https://www.kaggle.com/datasets/amanupadhyay/yoga-poses [Google Scholar]
  16. Next-Generation Pose Detection with MoveNet and TensorFlow.js. https://blog.tensorflow.org/2021/05/next-generation-pose-detection-with-movenet-and-tensorflowjs.html, accessed on( Nov. 30, 2022). [Google Scholar]
  17. Pose estimation and classification on edge devices with MoveNet and TensorFlow Lite. https://blog.tensorflow.org/2021/08/pose-estimation-and-classification-on-edge-devices-with-MoveNet-and-TensorFlow-Lite.html, accessed on (Nov. 30, 2022). [Google Scholar]
  18. Jo, BeomJun, and SeongKi Kim. “Comparative Analysis of OpenPose, PoseNet, and MoveNet Models for Pose Estimation in Mobile Devices.” Traitement du Signal 39, no. 1 (2022): 119-124. [CrossRef] [Google Scholar]
  19. Zhou, Xingyi, Dequan Wang, and Philipp Krähenbühl. “Objects as points.” arXiv preprint arXiv:1904.07850 (2019). [Google Scholar]
  20. Human Pose Classification with MoveNet and TensorFlow Lite. https://www.tensorflow.org/lite/tutorials/pose_classification, accessed on (Dec. 01, 2022). [Google Scholar]
  21. Rawat, Prateek, and Archana N. Mahajan. “ReactJS: A Modern Web Development Framework.” International Journal of Innovative Science and Research Technology 5, no. 11 (2020). [Google Scholar]
  22. Bhupati Venkat Sai Indla | Yogeshchandra Puranik “Review on React JS” Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume 5 | (Issue 4, June 2021), pp. 1137-1139, URL: www.ijtsrd.com/papers/ijtsrd42490.pdf [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.