  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.
