{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,3]],"date-time":"2026-05-03T05:54:08Z","timestamp":1777787648863,"version":"3.51.4"},"reference-count":68,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Samsung Eletr\u00f4nica da Amaz\u00f4nia Ltda., under the scope of the Information Technology Law through the project \u201cHub of Artificial Intelligence in Health and Wellbeing\u2014Viva Bem\u201d","award":["8.248\/91"],"award-info":[{"award-number":["8.248\/91"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1109\/tcyb.2026.3666726","type":"journal-article","created":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T20:53:24Z","timestamp":1772571204000},"page":"2410-2423","source":"Crossref","is-referenced-by-count":0,"title":["XNet: Enhancing Physical Activity Intensity Assessment With Attentional Multidomain Fusion and Visual Analytics"],"prefix":"10.1109","volume":"56","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9011-6522","authenticated-orcid":false,"given":"A.","family":"Mendoza","sequence":"first","affiliation":[{"name":"Artificial Intelligence Laboratory, Recod.ai, Institute of Computing, University of Campinas (Unicamp), Campinas, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7745-6151","authenticated-orcid":false,"given":"E. Puj\u00f3lli da","family":"Silva","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Laboratory, Recod.ai, Institute of Computing, University of Campinas (Unicamp), Campinas, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9569-3775","authenticated-orcid":false,"given":"D.","family":"Vega-Oliveros","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology, Federal University of São Paulo (Unifesp), São José dos Campos, São Paulo, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1464-8628","authenticated-orcid":false,"given":"T. Frota de","family":"Souza","sequence":"additional","affiliation":[{"name":"School of Physical Education, Unicamp, Campinas, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8429-4119","authenticated-orcid":false,"given":"A.","family":"Soriano-Vargas","sequence":"additional","affiliation":[{"name":"School of Computing, Universidad de Ingeniería y Tecnología (UTEC), Lima, Peru"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4128-4965","authenticated-orcid":false,"given":"M.","family":"Uchida","sequence":"additional","affiliation":[{"name":"School of Physical Education, Unicamp, Campinas, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4236-8212","authenticated-orcid":false,"given":"A.","family":"Rocha","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Laboratory, Recod.ai, Institute of Computing, University of Campinas (Unicamp), Campinas, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"The world health organization global recommendations on physical activity for health and the opportunities for the sports world","author":"Engelsman","year":"2010"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-789X.2011.00982.x"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.107.185649"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.7762\/cnr.2017.6.2.68"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1249\/MSS.0b013e318206476e"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1136\/bjsm.2010.079699"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.gaitpost.2018.12.003"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.gaitpost.2017.12.028"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1152\/japplphysiol.01189.2013"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1249\/MSS.0000000000001144"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2024.115663"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2022.3163429"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1186\/s42490-025-00088-2"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2026.3651630"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102690"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2026.3650942"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1152\/japplphysiol.00026.2015"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1142\/S1469026824500287"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/SPIN57001.2023.10116360"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-61628-0_8"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPCT61902.2024.10673260"},{"key":"ref22","first-page":"25038","article-title":"Unsupervised time-series representation learning with iterative bilinear temporal-spectral fusion","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yang"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1152\/japplphysiol.00760.2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-20195-3"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/431"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3193148"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2917565"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1152\/japplphysiol.00714.2018"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0299295"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/s18093092"},{"key":"ref32","first-page":"803","article-title":"Deep CHORES: Estimating hallmark measures of physical activity using deep learning","volume-title":"AMIA Annu. Symp. Proc.","volume":"2020","author":"Mardini"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2996578"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2023.105004"},{"key":"ref35","first-page":"1","article-title":"Deep learning-based prediction of physical activity intensity for athletes","volume-title":"Proc. Int. Conf. Intell. Algorithms Comput. Intell. Syst. (IACIS)","author":"Indhumathi"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/IPEC61310.2024.00093"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1136\/bmjsem-2021-001259"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3204343"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3165875"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICME57554.2024.10688376"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICME57554.2024.10688272"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19781-9_26"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19988"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87240-3_64"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3185119"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2023.3320107"},{"key":"ref47","article-title":"WSense: A robust feature learning module for lightweight human activity recognition","author":"Olalekan Ige","year":"2023","journal-title":"arXiv:2303.17845"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3390\/s19092186"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-022-01643-5"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3233\/978-1-61499-761-0-107"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2012.13"},{"key":"ref52","article-title":"Daily and sports activities","author":"Barshan","year":"2010"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1186\/1475-925X-14-S2-S6"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/BSN.2014.37"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/PERCOM.2016.7456521"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.jshs.2023.10.010"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1186\/s12966-017-0525-8"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539134"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1249\/mss.0b013e3181b3af49"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1145\/3534600"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3294421"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TBIOM.2024.3354261"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2870841"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.119419"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2890675"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-021-02283-3"},{"key":"ref67","first-page":"502","article-title":"Multi-view contrastive learning for robust domain adaptation in medical time series analysis","volume-title":"Proc. 6th Conf. Health","author":"Oh"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2024.3447108"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221036\/11481828\/11419151.pdf?arnumber=11419151","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:51:29Z","timestamp":1777492289000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11419151\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":68,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2026.3666726","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5]]}}}