{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T16:48:05Z","timestamp":1772556485158,"version":"3.50.1"},"reference-count":59,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,8]],"date-time":"2021-08-08T00:00:00Z","timestamp":1628380800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,8,8]],"date-time":"2021-08-08T00:00:00Z","timestamp":1628380800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,8]],"date-time":"2021-08-08T00:00:00Z","timestamp":1628380800000},"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":[[2021,8,8]]},"DOI":"10.1109\/ro-man50785.2021.9515507","type":"proceedings-article","created":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T22:07:53Z","timestamp":1629756473000},"page":"461-467","source":"Crossref","is-referenced-by-count":13,"title":["BabyNet: A Lightweight Network for Infant Reaching Action Recognition in Unconstrained Environments to Support Future Pediatric Rehabilitation Applications"],"prefix":"10.1109","author":[{"given":"Amel","family":"Dechemi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vikarn","family":"Bhakri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ipsita","family":"Sahin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arjun","family":"Modi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julya","family":"Mestas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pamodya","family":"Peiris","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dannya Enriquez","family":"Barrundia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elena","family":"Kokkoni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Konstantinos","family":"Karydis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00630"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00936"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"1021","DOI":"10.1109\/TSMCB.2010.2043526","article-title":"Action and gait recognition from recovered 3-d human joints","volume":"40","author":"gu","year":"2010","journal-title":"IEEE Trans on Systems Man and Cybernetics Part B (Cybernetics)"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2004.1334462"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.jht.2014.12.003"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.infbeh.2012.09.003"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298878"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.213"},{"key":"ref35","first-page":"20","article-title":"Temporal segment networks: Towards good practices for deep action recognition","author":"wang","year":"2016","journal-title":"European Conf on Computer Vision"},{"key":"ref34","first-page":"568","article-title":"Two-stream convolutional networks for action recognition in videos","author":"simonyan","year":"2014","journal-title":"Conf on Neural Information Processing Systems"},{"key":"ref28","first-page":"32","article-title":"Computer vision for medical infant motion analysis: State of the art and RGB-D data set","author":"hesse","year":"2018","journal-title":"European Conf on Comp Vision Workshop"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.622"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_89"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/RO-MAN47096.2020.9223571"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2020.3029121"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00221-002-1156-z"},{"key":"ref22","article-title":"Ucf101: A dataset of 101 human actions classes from videos in the wild","author":"soomro","year":"2012"},{"key":"ref21","first-page":"410","article-title":"On the estimation of children&#x2019;s poses","author":"sciortino","year":"2017","journal-title":"Int Conf on Image Analysis and Processing"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126543"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.502"},{"key":"ref26","first-page":"720","article-title":"Scaling egocentric vision: The epic-kitchens dataset","author":"damen","year":"2018","journal-title":"European Conf on Computer Vision"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.115"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1186\/1743-0003-9-17"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2017.8217765"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45103-X_50"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref57","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"2014","journal-title":"European Conf on Computer Vision"},{"key":"ref56","article-title":"Yolov3: An incremental improvement","author":"redmon","year":"2018"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s12369-017-0402-2"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/VS-GAMES.2009.17"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2013.2279155"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TELFOR.2014.7034540"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/935686"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451146"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00173"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461210"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1186\/s12984-020-0647-0"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00230"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1115\/1.4046397"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.2522\/ptj.2010090"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s002210050228"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2307\/1131327"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s00221-005-0169-9"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ROMAN.2012.6343825"},{"key":"ref3","first-page":"6112","article-title":"A detection-based approach to multiview action classification in infants","author":"pacheco","year":"2021","journal-title":"Int Conf on Pattern Recognition"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ROBIO.2018.8665218"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ROMAN.2013.6628549"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-011-0386-0"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3382507.3418870"},{"key":"ref49","first-page":"1","article-title":"Innovative approaches to promote mobility in children with cerebral palsy in the community","author":"galloway","year":"2019","journal-title":"Cerebral palsy"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2012.2195030"},{"key":"ref46","article-title":"Part-based graph convolutional network for action recognition","author":"thakkar","year":"2018","journal-title":"British Machine Vision Conf"},{"key":"ref45","first-page":"1110","article-title":"Hierarchical recurrent neural network for skeleton based action recognition","author":"du","year":"2015","journal-title":"IEEE Conf on Computer Vision and Pattern Recognition"},{"key":"ref48","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"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2864148"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.82"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-7404-z"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299176"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.02.030"}],"event":{"name":"2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN)","location":"Vancouver, BC, Canada","start":{"date-parts":[[2021,8,8]]},"end":{"date-parts":[[2021,8,12]]}},"container-title":["2021 30th IEEE International Conference on Robot &amp; Human Interactive Communication (RO-MAN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9515344\/9515312\/09515507.pdf?arnumber=9515507","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,7]],"date-time":"2023-01-07T22:35:50Z","timestamp":1673130950000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9515507\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,8]]},"references-count":59,"URL":"https:\/\/doi.org\/10.1109\/ro-man50785.2021.9515507","relation":{},"subject":[],"published":{"date-parts":[[2021,8,8]]}}}