Abstract
Articulated pose estimation in computer vision is the field of research that deals with the development of algorithms and systems that can determine the position and orientation of an articulated body, such as a human body, in 3D space. It has a wide range of applications, including motion capture, human-computer interaction, and robotics. In the context of the project, the goal is to estimate the position of human body parts and joints in each image, using a pre-trained pose estimation model, MediaPipe. The data obtained from this model is then used to explore various applications, with the focus being on building a yoga monitoring system. The system analyzes and tracks the user’s movements and postures, identifying any errors in their yoga routine. This allows the system to provide real-time feedback to the user, pointing out any inaccuracies in their body pose, so they can correct their mistakes.
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