{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T22:28:51Z","timestamp":1775860131021,"version":"3.50.1"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"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":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2023,9]]},"DOI":"10.1109\/lra.2023.3300279","type":"journal-article","created":{"date-parts":[[2023,7,31]],"date-time":"2023-07-31T17:41:27Z","timestamp":1690825287000},"page":"5783-5790","source":"Crossref","is-referenced-by-count":18,"title":["Motion Forecasting Network (MoFCNet): IMU-Based Human Motion Forecasting for Hip Assistive Exoskeleton"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7723-9533","authenticated-orcid":false,"given":"Xingxuan","family":"Zhang","sequence":"first","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8447-0269","authenticated-orcid":false,"given":"Haojian","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2356-5955","authenticated-orcid":false,"given":"Jianhua","family":"Hu","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5738-0927","authenticated-orcid":false,"given":"Jieren","family":"Deng","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1015-8381","authenticated-orcid":false,"given":"Yunkuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794187"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2020.2968845"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2019.02.011"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.promfg.2015.07.296"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/electronics9122176"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3146921"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00152"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00259"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00156"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2023.3311448"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3341162.3343776"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3272127.3275108"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459786"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00554"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995316"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.143"},{"key":"ref17","article-title":"Xsens motion capture"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13131"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01282"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3550469.3555428"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/s20216330"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/app13084794"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00722"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818013"},{"key":"ref25","first-page":"22 419","article-title":"Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wu","year":"2021"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i9.26317"},{"key":"ref27","article-title":"N-beats: Neural basis expansion analysis for interpretable time series forecasting","author":"Oreshkin","year":"2019"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.14"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24797-2_4"},{"key":"ref30","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"Bai","year":"2018"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/10185095\/10197531.pdf?arnumber=10197531","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T16:24:33Z","timestamp":1709310273000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10197531\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9]]},"references-count":30,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/lra.2023.3300279","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9]]}}}