A VR-Based Squat Self-Study System with Superimposing Motion on Model and Post-Checking Viewing from All Angles

This article proposes a VR-based self-study system, which helps beginners and novice users of strength training understand and reproduce correct squat motions. During his/her training, the system visually provides real-time superimposed his/her motion on a model. Also for the post-check of the training, the system visually the superimposed motion from all angles with analyzed information. Through both the features of the system installed on lightweight VR smart glasses connected with a PC, the system is expected to motivate users improve his/her training form continuously.