Smart Coaching: Enhancing Weightlifting and Preventing Injuries
Smart Coaching: Enhancing Weightlifting and Preventing Injuries
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智能教练：增强举重能力并预防受伤
DOI：
10.14569/ijacsa.2019.0100789
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发表时间：
2019
影响因子：
0.9
通讯作者：
Ayman Atia
中科院分区：
文献类型：
--
作者：
A. Yasser;Doha Tariq;Radwa Samy;Mennat Allah Hassan;Ayman Atia
受伤是运动员可能经历的最具破坏性和最危险的挑战之一，如果是一次严重的伤害，可能会结束他/她的运动生涯。在本文中，我们提出了一个自动化训练运动员的系统，通过使用红外摄像机（微软Kinect Xbox 360）来检测运动员在举重时错位的关节，并在受伤发生之前提醒运动员。我们现在可以通过快速动态时间扭曲（FastDTW）方法来检测运动员的举举是正确的还是错误的，以及运动员在举举中犯了什么样的错误。FastDTW方法优于其他分类方法，对依赖用户动作的识别准确率达到100%。
Getting injured is one of the most devastating and dangerous challenges that an athlete can go through and if it is a big injury it could end his/her athletic career. In this paper, we propose a system to automate the idea of coaching an athlete, by using an IR Camera (Microsoft Kinect Xbox 360) to detect the misplaced joints of the athlete while doing the lift, and alerting the athlete before an injury can occur. We are now able to detect if the lift was correct or wrong and to detect what kind of mistake has been done in the lift by the athlete by using the Fast Dynamic time warping (FastDTW) method. The FastDTW method has outperformed other classification methods and can achieve recognition with 100% accuracy for dependent user movements.