  The raising availability of 3D cameras and dramatic improvement of computer
vision algorithms in the recent decade, accelerated the research of automatic
movement assessment solutions. Such solutions can be implemented at home, using
affordable equipment and dedicated software. In this paper, we divide the
movement assessment task into secondary tasks and explain why they are needed
and how they can be addressed. We review the recent solutions for automatic
movement assessment from skeleton videos, comparing them by their objectives,
features, movement domains and algorithmic approaches. In addition, we discuss
the status of the research on this topic in a high level.
