  This paper summarizes the recent progress we have made for the computer
vision technologies in physical therapy with the accessible and affordable
devices. We first introduce the remote health coaching system we build with
Microsoft Kinect. Since the motion data captured by Kinect is noisy, we
investigate the data accuracy of Kinect with respect to the high accuracy
motion capture system. We also propose an outlier data removal algorithm based
on the data distribution. In order to generate the kinematic parameter from the
noisy data captured by Kinect, we propose a kinematic filtering algorithm based
on Unscented Kalman Filter and the kinematic model of human skeleton. The
proposed algorithm can obtain smooth kinematic parameter with reduced noise
compared to the kinematic parameter generated from the raw motion data from
Kinect.
