Pose estimation and performance evaluation of weight training videos using deep learning

Abstract

In this study, we perform form evaluation for weight training based on skeletal point information obtained from a camera. Performing weight training in the correct form is important for improving muscle strength and reducing the risk of injury. However, weight training is usually performed without an instructor. Therefore, we propose a system that can evaluate trainee's own weight training form using a camera. In existing systems, the positional relationship between the camera and the person is fixed. On the contrary, our system acquires 3D skeleton point information from the video, and thus the system is robust to variations in the positional relationship between the camera and the person.