{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T07:19:29Z","timestamp":1777101569848,"version":"3.51.4"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"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 J. Sel. Top. Signal Process."],"published-print":{"date-parts":[[2023,5]]},"DOI":"10.1109\/jstsp.2023.3262358","type":"journal-article","created":{"date-parts":[[2023,3,28]],"date-time":"2023-03-28T18:50:27Z","timestamp":1680029427000},"page":"677-688","source":"Crossref","is-referenced-by-count":17,"title":["Pain Level and Pain-Related Behaviour Classification Using GRU-Based Sparsely-Connected RNNs"],"prefix":"10.1109","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8112-5419","authenticated-orcid":false,"given":"Mohammad Mahdi","family":"Dehshibi","sequence":"first","affiliation":[{"name":"i_mBODY Lab, DEI Interactive Systems Group, Department of Computer Science and Engineering, Universidad Carlos III de Madrid, Legan&#x00E9;s, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2838-6131","authenticated-orcid":false,"given":"Temitayo","family":"Olugbade","sequence":"additional","affiliation":[{"name":"UCL Interaction Centre, University College London, London, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6437-914X","authenticated-orcid":false,"given":"Fernando","family":"Diaz-de-Maria","sequence":"additional","affiliation":[{"name":"Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Legan&#x00E9;s, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8921-0044","authenticated-orcid":false,"given":"Nadia","family":"Bianchi-Berthouze","sequence":"additional","affiliation":[{"name":"UCL Interaction Centre, University College London, London, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3166-3512","authenticated-orcid":false,"given":"Ana","family":"Tajadura-Jim\u00e9nez","sequence":"additional","affiliation":[{"name":"i_mBODY Lab, DEI Interactive Systems Group, Department of Computer Science, Engineering, Universidad Carlos III de Madrid, Legan&#x00E9;s, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","article-title":"A deep multimodal learning approach to perceive basic needs of humans from Instagram profile","author":"dehshibi","year":"2021","journal-title":"IEEE Trans Affect Comput"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-018-0005-0"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.biosystems.2021.104373"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.05.003"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-017-1442-1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1021\/acsbiomaterials.1c00752"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2785795"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2011.09.018"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ACIIW.2019.8925084"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/nature14288"},{"key":"ref55","first-page":"192","article-title":"Interpretation of movement during stair ascent for predicting severity and prognosis of knee osteoarthritis in elderly women using support vector machine","author":"yoo","year":"0","journal-title":"Proc IEEE 35th Annu Int Conf Eng Med Biol Soc"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3269310"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1097\/j.pain.0000000000002291"},{"key":"ref17","first-page":"845","article-title":"GluonCV and GluonNLP: Deep learning in computer vision and natural language processing","volume":"21","author":"guo","year":"2020","journal-title":"J Mach Learn Res"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.01.010"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1002\/14651858.CD000335.pub2"},{"key":"ref18","first-page":"97","article-title":"Multidimensional time series anomaly detection: A. GRU-based Gaussian mixture variational autoencoder approach","author":"guo","year":"0","journal-title":"Proc 10th Asian Conf Mach Learn"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1093"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3449068"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3190618"},{"key":"ref45","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1016\/j.pain.2006.06.019","article-title":"The influence of communication goals and physical demands on different dimensions of pain behavior","volume":"125","author":"michael","year":"2006","journal-title":"Pain"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3463508"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/42.4.270"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01338.x"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1978.1163055"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3025453.3025947"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1038\/163688a0"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3341163.3347728"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2929257"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-61657-5"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/sym14091792"},{"key":"ref4","first-page":"302","article-title":"Sparse multi-channel variational autoencoder for the joint analysis of heterogeneous data","author":"antelmi","year":"0","journal-title":"Proc 36th Int Conf Mach Learn"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.21236\/ADA323441"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2015.2462830"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3155705"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1097\/j.pain.0000000000000454"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2015-007980"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2979670"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2018.01.002"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2015-009544"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3395035.3425969"},{"key":"ref30","first-page":"1","article-title":"Learning multiple tasks with multilinear relationship networks","author":"long","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref33","first-page":"1","article-title":"How can affect be detected and represented in technological support for physical rehabilitation?","volume":"26","author":"temitayo","year":"2019","journal-title":"ACM Trans Comput - Hum Interact"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2015.7344578"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2021.3122886"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3079700"},{"key":"ref39","first-page":"547","article-title":"On measures of entropy and information","author":"r\u00e9nyi","year":"0","journal-title":"Proc 4th Berkeley Symp Math Statist Probability"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.09.013"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/378"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/S0005-7894(82)80001-4"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.332.7555.1430"},{"key":"ref25","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc 3rd Int Conf Learn Representations"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2015.12.013"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.36.842"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"1629","DOI":"10.1097\/j.pain.0000000000001844","article-title":"Almost 1 in 5 South African adults have chronic pain: A prevalence study conducted in a large nationally representative sample","volume":"161","author":"peter","year":"2020","journal-title":"Pain"},{"key":"ref28","article-title":"MOCAP toolbox for MATLAB","author":"lawrence","year":"2022"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-5225-7525-2.ch004"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2916873"}],"container-title":["IEEE Journal of Selected Topics in Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4200690\/10183711\/10083190.pdf?arnumber=10083190","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,7]],"date-time":"2023-08-07T18:11:54Z","timestamp":1691431914000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10083190\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5]]},"references-count":58,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/jstsp.2023.3262358","relation":{},"ISSN":["1932-4553","1941-0484"],"issn-type":[{"value":"1932-4553","type":"print"},{"value":"1941-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5]]}}}