Real Time Yoga Pose Detection Desktop Application using Tkinter with Increased Accuracy and No. of Poses using openPose and LR Machine Learning Algorithm

This work presents a method for precisely identifying different Yoga Pose Assessments using deep learning algorithms. To aid in yoga self-learning, we provide a pose detection-based yoga pose assessment approach in this system. First, the system uses a PC camera and multi-part detection to identify a yoga stance. We also provide an enhanced algorithm for this system's score calculation that works with all positions. Our application's resilience is assessed using various yoga poses in various settings. For yoga detection in real-time movies, a hybrid machine learning model utilizing linear regression is put forth. In this model, features are extracted from each frame's important points derived from Open Pose.