Yoga Pose Detection and Classification Using Deep Learning

Author:

Kumar Deepak1,Sinha Anurag1

Affiliation:

1. Department of Information Technology, Research Scholar, Amity University, Jharkhand, India

Abstract

Yoga is an ancient science and discipline originated in India 5000 years ago. It is used to bring harmony to both body and mind with the help of asana, meditation and various other breathing techniques It bring peace to the mind. Due to increase of stress in the modern lifestyle, yoga has become popular throughout the world. There are various ways through which one can learn yoga. Yoga can be learnt by attending classes at a yoga centre or through home tutoring. It can also be self-learnt with the help of books and videos. Most people prefer self-learning but it is hard for them to find incorrect parts of their yoga poses by themselves. Using the system, the user can select the pose that he/she wishes to practice. He/she can then upload a photo of themselves doing the pose. The pose of the user is compared with the pose of the expert and difference in angles of various body joints is calculated. Based on thisdifference of angles feedback is provided to the user so that he/she can improve the pose.

Publisher

Technoscience Academy

Subject

General Medicine

Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Technological Insights into Yoga Posture Recognition: A State-of-the-Art Review;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09

2. Yoga with Deep Learning: Linking Mind and Machine;SN Computer Science;2024-04-13

3. A Study of Landmark-Augmented and Landmark-Free Approaches: Yoga Pose Recognition;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

4. Yoga Pose Recognition Using Deep Learning;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05

5. Comparison of CNN-based methods for yoga pose classification;Turkish Journal of Engineering;2024-01-19

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