{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T20:03:30Z","timestamp":1772309010006,"version":"3.50.1"},"reference-count":66,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,3]]},"DOI":"10.1109\/wacv45572.2020.9093368","type":"proceedings-article","created":{"date-parts":[[2020,5,15]],"date-time":"2020-05-15T03:41:09Z","timestamp":1589514069000},"page":"1069-1079","source":"Crossref","is-referenced-by-count":30,"title":["Spatio-Temporal Pyramid Graph Convolutions for Human Action Recognition and Postural Assessment"],"prefix":"10.1109","author":[{"given":"Behnoosh","family":"Parsa","sequence":"first","affiliation":[]},{"given":"Athma","family":"Narayanan","sequence":"additional","affiliation":[]},{"given":"Behzad","family":"Dariush","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.5539\/jas.v10n9p252"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2009.11.014"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1515\/aut-2002-020404","article-title":"Smart textiles for wearable motion capture systems","volume":"2","author":"mazzoldi","year":"2002","journal-title":"AUTEX Research Journal"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00174"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1177\/0278364919882089"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2894389"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ergon.2015.07.002"},{"key":"ref36","article-title":"Quaternet: A quaternion-based recurrent model for human motion","author":"pavllo","year":"2018","journal-title":"arXiv preprint arXiv 1805 06485"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2925305"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995586"},{"key":"ref60","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.12328","article-title":"Spatial temporal graph convolutional networks for skeleton-based action recognition","author":"yan","year":"2018","journal-title":"Thirty-Second AAAI Conference on Artificial Intelligence"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.103"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.233"},{"key":"ref63","first-page":"6566","article-title":"2017","author":"zhao","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00871"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00147"},{"key":"ref27","article-title":"Pku-mmd: A large scale benchmark for continuous multi-modal human action understanding","author":"liu","year":"2017","journal-title":"arXiv preprint arXiv 1703 08337"},{"key":"ref65","article-title":"Graph neural networks: A review of methods and applications","author":"zhou","year":"2018","journal-title":"arXiv preprint arXiv 1812 02588"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2009.11.005"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.391"},{"key":"ref2","article-title":"Open set domain adaptation for image and action recognition","author":"busto","year":"2018","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref1","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"bai","year":"2018","journal-title":"arXiv preprint arXiv 1803 01271"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126543"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.115"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.113"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00371"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1061\/41182(416)47","article-title":"Computer vision techniques for worker motion analysis to reduce musculoskeletal disorders in construction","author":"li","year":"2011","journal-title":"Journal of Computing in Civil Engineering"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref25","first-page":"203","article-title":"Online human action detection using joint classification-regression recurrent neural networks","author":"li","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.393"},{"key":"ref51","article-title":"UCF101: A dataset of 101 human actions classes from videos in the wild","author":"soomro","year":"2012","journal-title":"arXiv preprint arXiv 1212 0402"},{"key":"ref59","author":"xu","year":"2018","journal-title":"Unsupervised Discovery of Parts Structure and Dynamics"},{"key":"ref58","article-title":"A comprehensive survey on graph neural networks","author":"wu","year":"2019","journal-title":"arXiv preprint arXiv 1901 04217"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2018.04.007"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.82"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00675"},{"key":"ref54","first-page":"4489","article-title":"2009","author":"tran","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2009.5457583"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.122"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2017.8057208"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01116"},{"key":"ref40","first-page":"5","article-title":"Sensors, vision and networks: From video surveillance to activity recognition and health monitoring","volume":"11","author":"prati","year":"2019","journal-title":"Journal of Ambient Intelligence and Smart Environments"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/S0003-6870(99)00039-3"},{"key":"ref14","first-page":"97","article-title":"Rapid entire body assessment","author":"hignett","year":"2004","journal-title":"Handbook of Human factors and Ergonomics Methods"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cviu.2016.10.018","article-title":"The THUMOS challenge on action recognition for videos in the wild","volume":"155","author":"idrees","year":"2017","journal-title":"Computer Vision and Image Understanding"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00014"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2018.2890460"},{"key":"ref19","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016","journal-title":"arXiv preprint arXiv 1609 02907"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.502"},{"key":"ref3","article-title":"OpenPose: realtime multi-person 2D pose estimation using Part Affinity Fields","author":"cao","year":"2018","journal-title":"arXiv preprint arXiv 1812 08942"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-14730-3_44"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2008.4650232"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MWSCAS.2017.8053243"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299025"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1504\/IJHFE.2017.088416"},{"key":"ref9","first-page":"1110","article-title":"Hierarchical recurrent neural network for skeleton based action recognition","author":"du","year":"2015","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.119"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793739"},{"key":"ref48","first-page":"1227","article-title":"2016","author":"si","year":"2019","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref47","first-page":"761","article-title":"Training region-based object detectors with online hard example mining","author":"shrivastava","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.134"},{"key":"ref41","first-page":"3108","article-title":"Mocap-guided data augmentation for 3d pose estimation in the wild","author":"rogez","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1080\/1463922X.2012.678283"},{"key":"ref43","first-page":"333","article-title":"Prevalence of musculoskeletal disorders and posture assessment by qec and inter-rater agreement in this method in an automobile assembly factory: Iran-2016","author":"roodbandi","year":"2018","journal-title":"the 15th Congress of the International Ergonomics Association"}],"event":{"name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","location":"Snowmass Village, CO, USA","start":{"date-parts":[[2020,3,1]]},"end":{"date-parts":[[2020,3,5]]}},"container-title":["2020 IEEE Winter Conference on Applications of Computer Vision (WACV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9087828\/9093261\/09093368.pdf?arnumber=9093368","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T21:17:21Z","timestamp":1722892641000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9093368\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3]]},"references-count":66,"URL":"https:\/\/doi.org\/10.1109\/wacv45572.2020.9093368","relation":{},"subject":[],"published":{"date-parts":[[2020,3]]}}}