Yoga Pose Detection and Correction Using OpenPose
Omkar Gurav, Utkarsh Kulthe, Shantik Bhalerao, Mangesh Lawande, Prof. Nilesh Mali · International Journal for Research in Applied Science and Engineering Technology · 2024
Abstract: OpenPose serves as a powerful tool for Human Pose Estimation, specializing in localizing anatomical key points or parts with a primary focus on identifying various body parts. Leveraging part affinity fields and a multi-convolutional neural network (CNN) architecture, OpenPose excels in extracting human parts and establishing associations with exceptional performance. The integrated design aims at jointly learning parts detection and their associations, with the part affinity score guiding the connections between different body parts.