{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T08:45:46Z","timestamp":1778575546172,"version":"3.51.4"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"US Army\/DURIP","award":["W911NF-17-1-0208"],"award-info":[{"award-number":["W911NF-17-1-0208"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1109\/jbhi.2023.3262164","type":"journal-article","created":{"date-parts":[[2023,3,29]],"date-time":"2023-03-29T15:17:05Z","timestamp":1680103025000},"page":"2829-2840","source":"Crossref","is-referenced-by-count":66,"title":["Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7984-7380","authenticated-orcid":false,"given":"Md Sanzid Bin","family":"Hossain","sequence":"first","affiliation":[{"name":"Electrical and Computer Engineering Department, University of Central Florida, Orlando, FL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5967-1058","authenticated-orcid":false,"given":"Zhishan","family":"Guo","sequence":"additional","affiliation":[{"name":"Computer Science Department, North Carolina State University, Raleigh, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3592-5762","authenticated-orcid":false,"given":"Hwan","family":"Choi","sequence":"additional","affiliation":[{"name":"Mechanical and Aerospace Engineering Department, University of Central Florida, Orlando, FL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.gaitpost.2020.12.010"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiomech.2019.109347"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/art.21406"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2013.2248749"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/jor.21142"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1097\/01.bor.0000240365.16842.4e"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2011.6090063"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinbiomech.2011.12.016"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3474121"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1177\/0309364615612634"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.gaitpost.2022.04.003"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2007.901024"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiomech.2008.06.001"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2015.05.020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/s18082564"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/s17010075"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-4166-2_31"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/s120709884"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/s17092085"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2019.2948650"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/s101110240"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/S0021-9290(03)00010-1"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1123\/jab.20.4.367"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2017.2704085"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.mechrescom.2003.10.008"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1080\/00150198408017519"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/19.481363"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMRB.2022.3144025"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiomech.2022.111020"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/s20010130"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-019-02061-3"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2020.10.001"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/s20164581"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/s21134535"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3389\/fbioe.2020.00041"},{"issue":"1","key":"ref36","article-title":"Prediction of joint kinetics based on joint kinematics using artificial neural networks","volume":"36","author":"Mundt","year":"2018","journal-title":"ISBS Proc. Arch."},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3389\/fbioe.2020.00604"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1590\/2446-4740.06817"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3390\/s17102181"},{"key":"ref40","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"Bai","year":"2018"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiomech.2021.110320"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3189648"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"issue":"15","key":"ref45","article-title":"Deep transfer learning for time series data based on sensor modality classification","volume-title":"Sensors","volume":"20","author":"Li","year":"2020"},{"key":"ref46","article-title":"Adam: A. method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3165383"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3478384.3478398"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbiomech.2019.109416"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/10144459\/10086574.pdf?arnumber=10086574","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T19:59:40Z","timestamp":1705003180000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10086574\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6]]},"references-count":49,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2023.3262164","relation":{"has-preprint":[{"id-type":"doi","id":"10.36227\/techrxiv.20484201","asserted-by":"object"},{"id-type":"doi","id":"10.36227\/techrxiv.20484201.v1","asserted-by":"object"}]},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6]]}}}