Yoga Poses Identification and Classification Based on Convolutional Neural Network and Transfer Learning with Media Pipe Article Swipe
Shri Bharathi
,
T. Parasuraman
,
S Akila
,
R. Ramakrishnan
,
K Shivaraju
,
S Krishnakumar
,
Sreedev S.A.
,
C. Vijayalakshmi
,
C. Vijayalakshmi
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.54392/irjmt24212
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.54392/irjmt24212
Yoga is an ancient Indian discipline that promotes mental and physical well-being. It's become popular due to the stress of modern life. There are many ways to learn yoga, including studios, private instructors, and online resources. Many students of yoga struggle to identify their own mistakes when learning on their own. This article proposes a new approach for the effective identification and classification of different yoga poses using deep learning algorithms. The Media-pipe library is used to extract user-relevant features from 85 videos featuring 15 yoga practitioners doing 6 different poses. In the study, results from many deep learning models are compared, both with and without extracting features. Several different learning models achieved their best performance when fed skeletonized pictures to a neural network for training. Results from several models are compared in order to demonstrate the beneficial effect of skeletonization. With a validation accuracy of 99.9% on non-skeletonized images, Mobile-Net with CNN outperforms CNN, LSTM and SVM by a wide margin. Skeletonized images are used by the proposed model MobileNet, which achieves an accuracy result of 99.9%.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.54392/irjmt24212
- https://journals.asianresassoc.org/index.php/irjmt/article/download/1808/852
- OA Status
- diamond
- Cited By
- 1
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393992462
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Raw OpenAlex JSON
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https://openalex.org/W4393992462Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.54392/irjmt24212Digital Object Identifier
- Title
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Yoga Poses Identification and Classification Based on Convolutional Neural Network and Transfer Learning with Media PipeWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-03-30Full publication date if available
- Authors
-
Shri Bharathi, T. Parasuraman, S Akila, R. Ramakrishnan, K Shivaraju, S Krishnakumar, Sreedev S.A., C. Vijayalakshmi, C. VijayalakshmiList of authors in order
- Landing page
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https://doi.org/10.54392/irjmt24212Publisher landing page
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https://journals.asianresassoc.org/index.php/irjmt/article/download/1808/852Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://journals.asianresassoc.org/index.php/irjmt/article/download/1808/852Direct OA link when available
- Concepts
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Transfer of learning, Identification (biology), Convolutional neural network, Computer science, Artificial intelligence, Machine learning, Biology, EcologyTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| publication_date | 2024-03-30 |
| publication_year | 2024 |
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