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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: September 2025
Volume 10 | Issue 9
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 112
Article Submitted : 17348
Article Published : 7552
Total Authors : 20065
Total Reviewer : 733
Total Countries : 133
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| Paper Title: | Pose Perfect - Identification and Correction of Yoga Poses Using CNN |
| Authors Name: | M Madhavi , Shashank V , R Vaishnavi , S Abhinav |
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IJRTI_189615
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| Published Paper Id: | IJRTI2406037 |
| Published In: | Volume 9 Issue 6, June-2024 |
| DOI: | |
| Abstract: | This paper presents a novel approach to yoga pose recognition and correction, employing Convolutional Neural Networks (CNNs) for precise identification and alignment of yoga asanas. Leveraging Keras and TensorFlow frameworks, the model is trained on a diverse dataset of yoga pose images and videos, enabling accurate classification of various yoga postures. By integrating OpenCV, the system efficiently preprocesses video frames, extracts relevant features, and predicts the corresponding yoga pose in real-time. In instances where incorrect poses are detected, the system provides corrective feedback, guiding practitioners towards proper alignment and form. The proposed system aims to enhance the practice of yoga by offering personalized guidance and feedback, thereby promoting safety, effectiveness, and overall well-being for yoga enthusiasts of all levels. Future directions include expanding the dataset to encompass a wider range of yoga poses, refining the model architecture for improved accuracy, and integrating additional sensors or wearable devices to enhance real-time feedback capabilities. This project signifies a convergence of machine learning, computer vision, and yoga practice, with the potential to revolutionize the way yoga is learned and practiced in the digital age. |
| Keywords: | Convolutional Neural Network, Layers, Computer Vision, Yoga Asana, Asana Alignment, Real-time Feedback |
| Cite Article: | "Pose Perfect - Identification and Correction of Yoga Poses Using CNN", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 6, page no.268 - 277, June-2024, Available :http://www.ijrti.org/papers/IJRTI2406037.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2406037
Registration ID:189615
Published In: Volume 9 Issue 6, June-2024
DOI (Digital Object Identifier):
Page No: 268 - 277 Country: Hyderabad, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2406037 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2406037 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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