Yoga Pose Assessment for Self-Learning

Abstract

Amid the coronavirus pandemic, more number of people started practicing yoga by themselves by watching online videos because going to classes is not feasible these days. This paper provides a review on yoga pose self-assessment system, which assesses a yoga practitioner’s pose correctness with the help of deep learning algorithms, so that injuries caused out of incorrect postures can be prevented. The system detects a yoga pose and then calculates the difference between the pose of the user and that of the instructor using dynamic time warping (DTW) for video input and using angle difference calculation for static image input. Our primary contributions include a novel solution that employs a lightweight pose estimation model and DTW for time series analysis of the videos.