{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T09:13:27Z","timestamp":1773738807520,"version":"3.50.1"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61903180"],"award-info":[{"award-number":["61903180"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2019YFB1705401"],"award-info":[{"award-number":["2019YFB1705401"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1109\/tcyb.2021.3132016","type":"journal-article","created":{"date-parts":[[2021,12,21]],"date-time":"2021-12-21T20:56:51Z","timestamp":1640120211000},"page":"13411-13424","source":"Crossref","is-referenced-by-count":22,"title":["Fine-Grained Unsupervised Temporal Action Segmentation and Distributed Representation for Skeleton-Based Human Motion Analysis"],"prefix":"10.1109","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4985-3368","authenticated-orcid":false,"given":"Hao","family":"Ma","sequence":"first","affiliation":[{"name":"Department of Mechanical and Energy Engineering, and the Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities, Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems, Southern University of Science and Technology, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8288-3833","authenticated-orcid":false,"given":"Zaiyue","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Energy Engineering, and the Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities, Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems, Southern University of Science and Technology, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2027-7501","authenticated-orcid":false,"given":"Haoyang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Sports Engineering, Beijing Sport University, Beijing, China"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3138\/FM57-6770-U75U-7727"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.253"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2869741"},{"key":"ref32","first-page":"185","article-title":"Segmenting motion capture data into distinct behaviors","author":"barbi?","year":"2004","journal-title":"Proc Graph Interface"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1023\/A:1013254724861"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0214499"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2017.00067"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICHR.2008.4756000"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/2502081.2502103"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/HUMANOIDS.2014.7041467"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.617"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.gmod.2011.05.003"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.140"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00067"},{"key":"ref13","first-page":"117","article-title":"Motion-motif graphs","author":"beaudoin","year":"2008","journal-title":"Proc ACM SIGGRAPH\/Eurograph Symp Comput Animation"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2014.04.011"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.137"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2635030"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2016.2584923"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2493432.2493482"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1177\/0278364911426178"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01234"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2014.2362862"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2884469"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2526970"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2015.2493536"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2373393"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00081"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.02.010"},{"key":"ref7","first-page":"20","article-title":"Temporal segment networks: Towards good practices for deep action recognition","author":"wang","year":"2016","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2335540"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00369"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2869278"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2016.2599019"},{"key":"ref22","first-page":"36","article-title":"Segmental spatiotemporal CNNs for fine-grained action segmentation","author":"colin lea","year":"2016","journal-title":"Proc 14th Eur Conf Comput Vis"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00873"},{"key":"ref42","year":"2021","journal-title":"Perception neuron studio"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00705"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2939839"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.113"},{"key":"ref26","first-page":"6508","article-title":"Weakly-supervised action segmentation with iterative soft boundary assignment","author":"ding","year":"2018","journal-title":"Proc IEEE Conf Comput Vis and Pattern Recog"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.105"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/9954937\/09658318.pdf?arnumber=9658318","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T19:08:28Z","timestamp":1672081708000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9658318\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":42,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2021.3132016","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12]]}}}