Real Time Yoga Posture Location and Assessment Utilizing Deep Learning
T. Manikumar, Jeevan Kankanala, Kannali Kishore, Lali Sriram · 2024
This research work proposes a new technique that helps people practice yoga correctly through real-time physical visualization and feedback. As yoga and its health benefits grow, so does the need for tools that help practitioners maintain correct posture, especially when they do not have access to an instructor. The system captures video of the user's movements on a webcam and uses special algorithms to compare it with previously stored descriptions in the database. This algorithm accurately measures the difference between the user's body and the body. When the user's motor is correct, the system will offer suggestions for improvement; otherwise, it will cause the user to correct their body. The technology is designed to leverage MediaPipe's functionality to work well in different lighting conditions and with different users, allowing it to work well on different computer models. Future plans include integration into mobile applications or wearable devices to improve user experience. Overall, this research contributes to the development of AI-based health and wellness tools by providing practical solutions to improve the accuracy and health benefits of yoga practice.