论文标题
用Kinect生物信息学对运动员进行体重训练分析以改进形式
Weight Training Analysis of Sportsmen with Kinect Bioinformatics for Form Improvement
论文作者
论文摘要
体育特许经营大量投资于培训运动员。将最新技术用于此目的也很普遍。我们提出了一个在体重训练期间捕获运动员运动的系统，并分析数据以找出任何缺点和缺陷。我们的系统使用Kinect深度图像来计算运动员选定关节的不同参数。这些参数通过某些算法通过某些算法进行处理并根据其制定结果。一些参数（例如运动范围，速度和平衡范围）可以实时分析。但是，为了进行比较，首先记录和存储数据，然后处理以获得准确的结果。我们的结果表明，该系统可以轻松地部署和实施，以提供对锻炼动态的非常有价值的见解，并帮助运动员改善自己的形式。
Sports franchises invest a lot in training their athletes. use of latest technology for this purpose is also very common. We propose a system of capturing motion of athletes during weight training and analyzing that data to find out any shortcomings and imperfections. Our system uses Kinect depth image to compute different parameters of athlete's selected joints. These parameters are passed through certain algorithms to process them and formulate results on their basis. Some parameters like range of motion, speed and balance can be analyzed in real time. But for comparison to be performed between motions, data is first recorded and stored and then processed for accurate results. Our results depict that this system can be easily deployed and implemented to provide a very valuable insight to dynamics of a work out and help an athlete in improving his form.
