Exploring Feedback Generation in Automated Skeletal Movement Assessment: A Comprehensive Overview

arXiv:2404.09359v1 Announce Type: cross
Abstract: The application of machine-learning solutions to movement assessment from skeleton videos has attracted significant research attention in recent years. This advancement has made rehabilitation at home more accessible, utilizing movement assessment algorithms that can operate on affordable equipment for human pose detection from 2D or 3D videos. While the primary objective of automatic assessment tasks is to score movements, the automatic generation of feedback highlighting key movement issues has the potential to significantly enhance and …

abstract advancement algorithms application arxiv assessment attention automated cs.ai cs.cv cs.lg detection equipment feedback home human machine overview research solutions type videos