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

Masahiro Watatani, M. Makino
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Abstract

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.
基于vr模型运动叠加、多角度后检的深蹲自学系统
本文提出了一个基于vr的自学系统,帮助力量训练的初学者和新手理解和重现正确的深蹲动作。在他/她的训练过程中,系统可视化地提供实时叠加在模型上的他/她的运动。此外,对于训练后的检查,系统可视地从各个角度叠加运动与分析的信息。通过将该系统安装在与PC相连的轻型VR智能眼镜上的两种功能,该系统有望激励用户不断改进自己的训练形式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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