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Yoga Pose Estimation along with Human Posture Detection using Deep Learning Approach
- 1 Department of Computer Science and Engineering, Kongu Engineering College, Pe-rundurai, Tamilnadu
- 2 Department of Computer Science and Engineering, Kongu Engineering College, Pe-rundurai, Tamilnadu
- 3 Department of Computer Science and Engineering, Kongu Engineering College, Pe-rundurai, Tamilnadu
* Author to whom correspondence should be addressed.
Abstract
The yoga is the ancient art for keeping the human body healthy and fit and acquiring mental peace. This position in yoga almost matches with human posture for comfortable physical activity. The different sequence of body joint action leads to a specific yoga asana that has its own benefit for health. If asana are done in improper way, it would create a bad impact not only in health but also in mental peace. The advancement in computer vision technology help the yoga practitioner identify if they are doing right asana by applying various machine learning and deep learning algorithms for pose estimation. This article has done the concise literature survey on different machine and deep learning algorithm available in computer vision technology. The survey portraits the different classification for human posture estimation and yoga pose estimation along with their contributions and specific difference in between them. Especially the CNN, RNN and LSTM algorithm evolution is briefly narrated in this concise survey for yoga pose estimation.
Keywords
Deep Learning, Neural Network., Yoga pose, Computer vision technology, Machine learning
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Cite this article
Deepa,D.;Velumani,R.;Selvaraj,S. (2023). Yoga Pose Estimation along with Human Posture Detection using Deep Learning Approach. Applied and Computational Engineering,2,993-1000.
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Volume title: Proceedings of the 4th International Conference on Computing and Data Science (CONF-CDS 2022)
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