A Comprehensive Review of Skeleton-based Movement Assessment Methods
This work provides a comprehensive overview for researchers and practitioners in computer vision and healthcare, but it is incremental as it synthesizes existing methods without introducing new techniques.
The paper reviews automatic movement assessment methods using skeleton videos, categorizing them by objectives, features, domains, and algorithms, and discusses the current research status in this field.
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.