论文标题
姿势教练：使用姿势估计纠正运动姿势
Pose Trainer: Correcting Exercise Posture using Pose Estimation
论文作者
论文摘要
健身运动对个人健康和健身非常有益；但是，如果用户不正确地执行，它们也可能无效且潜在的危险。当用户不使用适当的形式或姿势时，锻炼错误。在我们的工作中，我们介绍了姿势培训师，该应用程序可检测用户的锻炼姿势，并提供有关用户如何改善其形式的个性化的详细建议。姿势训练师以姿势估计使用艺术状态来检测用户的姿势，然后通过锻炼来评估姿势的矢量几何形状，以提供有用的反馈。我们根据个人培训指南记录了100多个正确和不正确形式的练习视频的数据集，并构建用于评估的几何形状和机器学习算法。姿势培训师在四个常见的练习中工作，并用GPU支持任何Windows或Linux计算机。
Fitness exercises are very beneficial to personal health and fitness; however, they can also be ineffective and potentially dangerous if performed incorrectly by the user. Exercise mistakes are made when the user does not use the proper form, or pose. In our work, we introduce Pose Trainer, an application that detects the user's exercise pose and provides personalized, detailed recommendations on how the user can improve their form. Pose Trainer uses the state of the art in pose estimation to detect a user's pose, then evaluates the vector geometry of the pose through an exercise to provide useful feedback. We record a dataset of over 100 exercise videos of correct and incorrect form, based on personal training guidelines, and build geometric-heuristic and machine learning algorithms for evaluation. Pose Trainer works on four common exercises and supports any Windows or Linux computer with a GPU.
