A Comprehensive Review of Skeleton-based Movement Assessment Methods

TL;DR

This paper reviews recent methods for automatic movement assessment using skeleton videos, highlighting their objectives, features, and algorithmic approaches, and discusses the current research status in this field.

Contribution

It provides a comprehensive overview and comparison of recent skeleton-based movement assessment methods, clarifying their secondary tasks and research progress.

Findings

Various algorithms are used for skeleton-based movement assessment.

Most solutions aim for home-based, affordable assessment tools.

Research in this area is rapidly evolving with diverse approaches.

Abstract

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.