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.

中文翻译：

---

利用 Kinect 生物信息学对运动员进行体型改进的重量训练分析

体育特许经营公司在训练运动员方面投入了大量资金。为此目的使用最新技术也很普遍。我们提出了一种在重量训练期间捕捉运动员运动并分析该数据以找出任何缺点和缺陷的系统。我们的系统使用 Kinect 深度图像来计算运动员所选关节的不同参数。这些参数通过某些算法进行处理并在其基础上制定结果。可以实时分析一些参数，如运动范围、速度和平衡。但是要在动作之间进行比较，首先要记录和存储数据，然后进行处理以获得准确的结果。