A Review On: Yoga Pose Detection using Deep Learning
Prof. Pravin Tambe
, Mr. Mayur Pawar , Mr. Krushna Parkhe , Mr. Manas Badhan , Ms. Prajakta Jagtap
computer vision, feature extraction, machine learning, artificial intelligence, pose estimation
The angle between body parts is crucial in the variety of asanas that yoga has to offer. If done correctly, yoga is an excellent form of physical exercise that is very good for your health. However, if yoga is practiced incorrectly, it can be harmful to one's health. Therefore, it's crucial to have a trainer when practicing yoga who can show you the proper form for each pose and keep an eye on it. This project includes a non-profit system for strengthening core muscles through yoga-like poses. The proposed technique detects the human position perfectly while performing yoga asanas virtually. This system assists yoga enthusiasts with different yoga poses and validates them for correctness. Integrating computer vision techniques and deep learning techniques, the proposed system analyses the user’s human pose then based on the domain knowledge of yoga, the user is directed to correct the pose. Due to high computation requirements and a lack of available datasets, precise pose recognition in yoga is a challenging task. Different feature extraction and preprocessing techniques are applied to the dataset for the accurate detection of the yoga pose, achieving high accuracy just by using machine learning algorithms. The Human Pose Estimation technique, based on computer vision, is used to make the system effective and affordable.
"A Review On: Yoga Pose Detection using Deep Learning", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 12, page no.207 - 210, December-2022, Available :https://ijsdr.org/papers/IJSDR2212034.pdf
Volume 7
Issue 12,
December-2022
Pages : 207 - 210
Paper Reg. ID: IJSDR_202986
Published Paper Id: IJSDR2212034
Downloads: 000347327
Research Area: Engineering
Country: -, -, --
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
