{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T22:55:07Z","timestamp":1775084107651,"version":"3.50.1"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"General Direction of Scientific Research (DGRST), Tunisia, under the ARUB Program"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3439269","type":"journal-article","created":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T17:57:27Z","timestamp":1722880647000},"page":"109608-109624","source":"Crossref","is-referenced-by-count":14,"title":["Elaboration of Innovative Digital Twin Models for Healthcare Monitoring With 6G Functionalities"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-7857-4150","authenticated-orcid":false,"given":"Rafika","family":"Brahmi","sequence":"first","affiliation":[{"name":"Research Team in Intelligent Machines (RTIM), National School of Engineers, University of Gabes, Gabes, Tunisia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2228-7463","authenticated-orcid":false,"given":"Noureddine","family":"Boujnah","sequence":"additional","affiliation":[{"name":"Insight SFI for Data Analytics, Dublin City University, Dublin 9, Ireland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8148-1621","authenticated-orcid":false,"given":"Ridha","family":"Ejbali","sequence":"additional","affiliation":[{"name":"Research Team in Intelligent Machines (RTIM), National School of Engineers, University of Gabes, Gabes, Tunisia"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-38756-7_4"},{"key":"ref2","first-page":"1","volume-title":"Modeling, simulation, information technology and processing roadmap","volume":"32","author":"Shafto","year":"2012"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2985082"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2012.328"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.3035062"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-7134-7"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.wss.2021.100031"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JTEHM.2023.3274357"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/en15124497"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2022.112271"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MODELS-C53483.2021.00040"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.118.2200071"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2909828"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.110138"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3310097"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CIC52973.2021.00013"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2971576"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICAAIC53929.2022.9792868"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/UBMK.2019.8907003"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/jsac.2023.3314826"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ri2c60382.2023.10355994"},{"key":"ref22","volume-title":"Radiocommunication Sector of International Telecommunication Union","year":"2013"},{"key":"ref23","first-page":"83","article-title":"DT-based models of human activities, localization, and energy consumption of WBAN network using IMU sensors","volume-title":"Proc. Sensors Electron. Instrum. Adv.","author":"Boujnah"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/eucnc.2019.8801998"},{"issue":"24","key":"ref25","doi-asserted-by":"crossref","first-page":"9690","DOI":"10.3390\/s22249690","article-title":"Real-time human activity recognition with IMU and encoder sensors in wearable exoskeleton robot via deep learning networks","volume":"22","author":"Jaramillo","year":"2022","journal-title":"Sensors"},{"issue":"1","key":"ref26","first-page":"1","article-title":"Optimizing physical activity recognition using hybrid LSTM network","volume":"26","author":"Ramya","year":"2023","journal-title":"J. Northeastern Univ."},{"key":"ref27","first-page":"1","article-title":"Data augmentation for time series classification using convolutional neural networks","volume-title":"Proc. ECML\/PKDD Workshop Adv. Anal. Learn. Temporal Data","author":"Le Guennec"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ISISS.2018.8358140"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2922104"},{"issue":"7","key":"ref30","doi-asserted-by":"crossref","first-page":"141","DOI":"10.3390\/computers12070141","article-title":"A deep learning network with aggregation residual transformation for human activity recognition using inertial and stretch sensors","volume":"12","author":"Mekruksavanich","year":"2023","journal-title":"Computers"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/etfa45728.2021.9613376"},{"issue":"4","key":"ref32","doi-asserted-by":"crossref","first-page":"72","DOI":"10.3390\/technologies8040072","article-title":"Deep learning based fall detection algorithms for embedded systems, smartwatches, and IoT devices using accelerometers","volume":"8","author":"Kraft","year":"2020","journal-title":"Technologies"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICT-ROBOT.2018.8549878"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/BioSMART58455.2023.10162095"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3265191"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3316508"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/tase.2024.3363169"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC55113.2022.9824306"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10623445.pdf?arnumber=10623445","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T17:44:28Z","timestamp":1723657468000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10623445\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3439269","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}