Yoga Pose Detection Using Artificial Intelligence and Machine Learning
Rimanshu Singh, Prateek Kumar, Mohd Huzaifa Ansari, Mani Dwivedi · 2024
The study of yoga pose detection with the help of AI and ML aims to develop automatic structures that are capable of spotting and classifying yoga poses solely based on visible input. This age can help yoga experts, teachers, and fans by introducing ongoing criticism, customized direction, and, in general, execution checking. The site's artificial intelligence model can accurately identify various stances thanks to its extensive dataset of yoga poses. The proposed web application can help yoga professionals who need to improve their accuracy and educators who need to remotely monitor their students' progress. The crucial elements encompassing the positions of significant body joints are vital for a comprehensive understanding of each pose. Annotation plays a pivotal role in educating the machine learning model, where experts manually label key factors within the dataset and associate them with specific yoga poses. This annotated dataset serves as the cornerstone for education and evaluation in the development process.