Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387089095> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W4387089095 abstract "Physical rehabilitation focuses on the improvement of body functions, usually after injury or surgery. Patients undergoing rehabilitation often need to perform exercises at home without the presence of a physiotherapist. Computer-aided assessment of physical rehabilitation can improve patients' performance and help in completing prescribed rehabilitation exercises. In this work, we focus on human motion analysis in the context of physical rehabilitation for Low Back Pain (LBP). As 2D and 3D human pose estimation from RGB images had made impressive improvements, we aim to compare the assessment of physical rehabilitation exercises using movement data acquired from RGB videos and human pose estimation from those. In this work, we provide an analysis of two types of algorithms on a Low Back Pain rehabilitation datasets. One is based on a Gaussian Mixture Model (GMM), with performance metrics based on the log-Likelihood values from GMM. Furthermore, with the recent development of Deep Learning and Graph Neural Networks, algorithms based on Spatio-Temporal Graph Convolutional Networks (STGCN) are taken as a novel approach. We compared the algorithms in terms of data efficiency and performance, with evaluation performed on two LBP rehabilitation datasets: KIMORE and Keraal. Our study confirms that Kinect, OpenPose, and BlazePose data yield similar evaluation scores, and shows that STGCN outperforms GMM in most configurations." @default.
- W4387089095 created "2023-09-28" @default.
- W4387089095 creator A5046094611 @default.
- W4387089095 creator A5058550461 @default.
- W4387089095 creator A5066791819 @default.
- W4387089095 creator A5078786689 @default.
- W4387089095 date "2023-09-04" @default.
- W4387089095 modified "2023-09-28" @default.
- W4387089095 title "Analyzing Data Efficiency and Performance of Machine Learning Algorithms for Assessing Low Back Pain Physical Rehabilitation Exercises" @default.
- W4387089095 cites W1983705368 @default.
- W4387089095 cites W1985745673 @default.
- W4387089095 cites W2032984112 @default.
- W4387089095 cites W2106508100 @default.
- W4387089095 cites W2319894388 @default.
- W4387089095 cites W2526041356 @default.
- W4387089095 cites W2613570903 @default.
- W4387089095 cites W2778538683 @default.
- W4387089095 cites W2919910909 @default.
- W4387089095 cites W2948246283 @default.
- W4387089095 cites W2951095152 @default.
- W4387089095 cites W2963076818 @default.
- W4387089095 cites W2991194006 @default.
- W4387089095 cites W2993496908 @default.
- W4387089095 cites W3007506370 @default.
- W4387089095 cites W3009800047 @default.
- W4387089095 cites W3010721913 @default.
- W4387089095 cites W3035225512 @default.
- W4387089095 cites W3098538019 @default.
- W4387089095 cites W3103720336 @default.
- W4387089095 cites W3103858256 @default.
- W4387089095 cites W3113067059 @default.
- W4387089095 cites W3203871918 @default.
- W4387089095 cites W4200075992 @default.
- W4387089095 cites W4200301490 @default.
- W4387089095 cites W4205947138 @default.
- W4387089095 cites W4211058727 @default.
- W4387089095 cites W4221119882 @default.
- W4387089095 cites W4221146519 @default.
- W4387089095 cites W4312245820 @default.
- W4387089095 cites W4323537328 @default.
- W4387089095 cites W4362597791 @default.
- W4387089095 doi "https://doi.org/10.1109/ecmr59166.2023.10256318" @default.
- W4387089095 hasPublicationYear "2023" @default.
- W4387089095 type Work @default.
- W4387089095 citedByCount "0" @default.
- W4387089095 crossrefType "proceedings-article" @default.
- W4387089095 hasAuthorship W4387089095A5046094611 @default.
- W4387089095 hasAuthorship W4387089095A5058550461 @default.
- W4387089095 hasAuthorship W4387089095A5066791819 @default.
- W4387089095 hasAuthorship W4387089095A5078786689 @default.
- W4387089095 hasConcept C104114177 @default.
- W4387089095 hasConcept C11413529 @default.
- W4387089095 hasConcept C119857082 @default.
- W4387089095 hasConcept C132525143 @default.
- W4387089095 hasConcept C151730666 @default.
- W4387089095 hasConcept C154945302 @default.
- W4387089095 hasConcept C1862650 @default.
- W4387089095 hasConcept C2778818304 @default.
- W4387089095 hasConcept C2779343474 @default.
- W4387089095 hasConcept C41008148 @default.
- W4387089095 hasConcept C48007421 @default.
- W4387089095 hasConcept C71924100 @default.
- W4387089095 hasConcept C80444323 @default.
- W4387089095 hasConcept C81363708 @default.
- W4387089095 hasConcept C86803240 @default.
- W4387089095 hasConceptScore W4387089095C104114177 @default.
- W4387089095 hasConceptScore W4387089095C11413529 @default.
- W4387089095 hasConceptScore W4387089095C119857082 @default.
- W4387089095 hasConceptScore W4387089095C132525143 @default.
- W4387089095 hasConceptScore W4387089095C151730666 @default.
- W4387089095 hasConceptScore W4387089095C154945302 @default.
- W4387089095 hasConceptScore W4387089095C1862650 @default.
- W4387089095 hasConceptScore W4387089095C2778818304 @default.
- W4387089095 hasConceptScore W4387089095C2779343474 @default.
- W4387089095 hasConceptScore W4387089095C41008148 @default.
- W4387089095 hasConceptScore W4387089095C48007421 @default.
- W4387089095 hasConceptScore W4387089095C71924100 @default.
- W4387089095 hasConceptScore W4387089095C80444323 @default.
- W4387089095 hasConceptScore W4387089095C81363708 @default.
- W4387089095 hasConceptScore W4387089095C86803240 @default.
- W4387089095 hasLocation W43870890951 @default.
- W4387089095 hasOpenAccess W4387089095 @default.
- W4387089095 hasPrimaryLocation W43870890951 @default.
- W4387089095 hasRelatedWork W2521062615 @default.
- W4387089095 hasRelatedWork W2961085424 @default.
- W4387089095 hasRelatedWork W3016958897 @default.
- W4387089095 hasRelatedWork W3021430260 @default.
- W4387089095 hasRelatedWork W3027997911 @default.
- W4387089095 hasRelatedWork W3181746755 @default.
- W4387089095 hasRelatedWork W4283379348 @default.
- W4387089095 hasRelatedWork W4287776258 @default.
- W4387089095 hasRelatedWork W4306674287 @default.
- W4387089095 hasRelatedWork W4224009465 @default.
- W4387089095 isParatext "false" @default.
- W4387089095 isRetracted "false" @default.
- W4387089095 workType "article" @default.