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Title: :  Yoga Pose Detection and Guidance Through an AI-Enhanced Chatbot
PaperId: :  23579
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23579
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Pooja ParaddiAMC College Of Engineering Bengaluru
Nandini NAMC College Of Engineering Bengaluru
Aarti Sudhakar PatilAMC College Of Engineering Bengaluru

Abstract

Information Science and Engineering
VGG19,CNN,MACHINE LEARNING,ENHANCED-AI,CHATBOT
Yoga is a widely practiced form of exercise and meditation with numerous physical and mental health benefits. In recent years, the integration of technology into yoga practice has gained momentum, with applications ranging from virtual classes to personalized coaching. One such application is the automated detection and correction of yoga poses using machine learning techniques. This project focuses on developing a yoga pose detection system using transfer learning with the VGG19 convolutional neural network architecture. Transfer learning leverages the knowledge gained by pre-training models on large-scale datasets and adapts it to new tasks with smaller datasets, making it suitable for our pose classification problem. The VGG19 model, pre-trained on the ImageNet dataset, serves as a feature extractor for yoga pose images, capturing hierarchical visual representations. The workflow involves collecting a diverse dataset of yoga pose images, preprocessing them for uniformity, and annotating them with corresponding pose labels. We then fine-tune the pre-trained VGG19 model on the annotated dataset, replacing the final classification layers to suit our multi-class yoga pose classification task. Training the model involves optimizing hyperparameters and monitoring performance metrics to ensure effective learning. Evaluation of the trained model is performed using standard metrics such as accuracy, precision, recall, and F1 score on a separate validation or test dataset. The model's performance is assessed in terms of its ability to accurately classify various yoga poses under different conditions, including variations in pose, lighting, and background. The developed yoga pose detection system holds promise for assisting yoga practitioners and instructors in achieving correct pose alignment, providing real-time feedback, and tracking progress over time. Additionally, it serves as a foundation for further research and development in the intersection of machine learning and yoga practice, contributing to the advancement of technology-enhanced wellness solutions.

Citations

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IJARIIE Pooja Paraddi, Nandini N, and Aarti Sudhakar Patil. "Yoga Pose Detection and Guidance Through an AI-Enhanced Chatbot" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 5305-5315
MLA Pooja Paraddi, Nandini N, and Aarti Sudhakar Patil. "Yoga Pose Detection and Guidance Through an AI-Enhanced Chatbot." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 5305-5315.
APA Pooja Paraddi, Nandini N, & Aarti Sudhakar Patil. (2024). Yoga Pose Detection and Guidance Through an AI-Enhanced Chatbot. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 5305-5315.
Chicago Pooja Paraddi, Nandini N, and Aarti Sudhakar Patil. "Yoga Pose Detection and Guidance Through an AI-Enhanced Chatbot." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 5305-5315.
Oxford Pooja Paraddi, Nandini N, and Aarti Sudhakar Patil. 'Yoga Pose Detection and Guidance Through an AI-Enhanced Chatbot', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 5305-5315. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Yoga_Pose_Detection_and_Guidance_Through_an_AI_Enhanced_Chatbot_ijariie23579.pdf (Accessed : 23 March 2025).
Harvard Pooja Paraddi, Nandini N, and Aarti Sudhakar Patil. (2024) 'Yoga Pose Detection and Guidance Through an AI-Enhanced Chatbot', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 5305-5315IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Yoga_Pose_Detection_and_Guidance_Through_an_AI_Enhanced_Chatbot_ijariie23579.pdf (Accessed : 23 March 2025)
IEEE Pooja Paraddi, Nandini N, and Aarti Sudhakar Patil, "Yoga Pose Detection and Guidance Through an AI-Enhanced Chatbot," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 5305-5315, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Yoga_Pose_Detection_and_Guidance_Through_an_AI_Enhanced_Chatbot_ijariie23579.pdf [Accessed : 23 March 2025].
Turabian Pooja Paraddi, Nandini N, and Aarti Sudhakar Patil. "Yoga Pose Detection and Guidance Through an AI-Enhanced Chatbot." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 (23 March 2025).
Vancouver Pooja Paraddi, Nandini N, and Aarti Sudhakar Patil. Yoga Pose Detection and Guidance Through an AI-Enhanced Chatbot. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : 23 March 2025]; 10(2) : 5305-5315. Available from: https://ijariie.com/AdminUploadPdf/Yoga_Pose_Detection_and_Guidance_Through_an_AI_Enhanced_Chatbot_ijariie23579.pdf
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