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@article{168374,
        author = {Srushti Shridhar Joshi and Arati Uttam Kumbhar and Bhakti Appayya Swami and Samrudhi Rajaram Sutar and Pravin Kumar Karve},
        title = {Yoga Pose Detection and Correction Application using AI & ML},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {651-658},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168374},
        abstract = {Yoga is a traditional Indian way of keeping the mind and body fit, through physical postures (asanas), voluntarily regulated breathing (pranayama), meditation, and relaxation techniques. The recent pandemic has seen a huge surge in numbers of yoga practitioners, many practicing without proper guidance.This paper presents a novel application for yoga pose detection and correction leveraging artificial intelligence (AI) and machine learning (ML) techniques. As the popularity of yoga grows, the need for effective instructional tools to ensure correct postures has become paramount. Our application employs computer vision algorithms to analyze users’ body positions in real-time, providing instant feedback on alignment and pose accuracy. By utilizing deep learning models trained on a diverse dataset of yoga poses, the system identifies key landmarks and assesses deviations from optimal alignment. We implement a user-friendly interface that offers personalized corrections and suggests modifications to enhance practice. The effectiveness of the application is evaluated through user studies, demonstrating significant improvements in pose accuracy and user engagement. This work contributes to the intersection of technology and wellness, promoting safe and effective yoga practices through innovative AI solutions. Future research directions include expanding the dataset for enhanced model robustness and integrating additional wellness metrics for a holistic user experience.},
        keywords = {Artificial intelligence, deep learning, machine learning techniques, pose estimation techniques, skeleton and yoga},
        month = {October},
        }