{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T13:24:30Z","timestamp":1777901070884,"version":"3.51.4"},"reference-count":24,"publisher":"Elsevier BV","issue":"2","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T00:00:00Z","timestamp":1770249600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100014188","name":"Korea Ministry of Science and ICT","doi-asserted-by":"publisher","award":["25-InnoCORE-01"],"award-info":[{"award-number":["25-InnoCORE-01"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["ICT Express"],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1016\/j.icte.2026.02.003","type":"journal-article","created":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T17:30:40Z","timestamp":1770312640000},"page":"512-516","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Activity recognition and user identification using mmWave radar with a shared-backbone graph network and task-specific heads"],"prefix":"10.1016","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2906-8925","authenticated-orcid":false,"given":"Jun Yong","family":"Eom","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-6124-5818","authenticated-orcid":false,"given":"Daewon","family":"Seo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.icte.2026.02.003_b1","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1109\/COMST.2023.3334269","article-title":"Machine learning for healthcare radars: Recent progresses in human vital sign measurement and activity recognition","volume":"26","author":"Ahmed","year":"2024","journal-title":"IEEE Commun. Surv. Tutor."},{"issue":"1","key":"10.1016\/j.icte.2026.02.003_b2","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1109\/COMST.2019.2948204","article-title":"A survey on anomalous behavior detection for elderly care using dense-sensing networks","volume":"22","author":"Deep","year":"2020","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"10.1016\/j.icte.2026.02.003_b3","doi-asserted-by":"crossref","unstructured":"M.V. Karthikeyan, M.F. M, J. R, Public human assault prediction using human activity recognition with AI, in: Proc. Int. Conf. Adv. Data Eng. Intell. Comput. Syst., ADICS, 2024, pp. 1\u20135.","DOI":"10.1109\/ADICS58448.2024.10533461"},{"issue":"2","key":"10.1016\/j.icte.2026.02.003_b4","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1016\/j.icte.2023.11.007","article-title":"A review of thermal array sensor-based activity detection in smart spaces using AI","volume":"10","author":"Nwakanma","year":"2024","journal-title":"ICT Express"},{"issue":"18","key":"10.1016\/j.icte.2026.02.003_b5","doi-asserted-by":"crossref","first-page":"37988","DOI":"10.1109\/JIOT.2025.3585401","article-title":"AmFall: WiFi CSI amplitude-based fall detection using denoised scalograms","volume":"12","author":"Kim","year":"2025","journal-title":"IEEE Internet Things J."},{"issue":"2","key":"10.1016\/j.icte.2026.02.003_b6","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.icte.2021.04.010","article-title":"Edge computing based surveillance framework for real-time activity recognition","volume":"7","author":"Aishwarya","year":"2021","journal-title":"ICT Express"},{"issue":"6","key":"10.1016\/j.icte.2026.02.003_b7","doi-asserted-by":"crossref","first-page":"1266","DOI":"10.1016\/j.icte.2024.09.015","article-title":"Prior-free 3D human pose estimation in a video using limb-vectors","volume":"10","author":"Memon","year":"2024","journal-title":"ICT Express"},{"key":"10.1016\/j.icte.2026.02.003_b8","doi-asserted-by":"crossref","DOI":"10.1016\/j.nanoen.2023.108180","article-title":"Intermediate nanofibrous charge trapping layer-based wearable triboelectric self-powered sensor for human activity recognition and user identification","volume":"108","author":"Shrestha","year":"2023","journal-title":"Nano Energy"},{"key":"10.1016\/j.icte.2026.02.003_b9","first-page":"1","article-title":"Real-time cross-domain gesture and user identification via COTS WiFi","author":"Cao","year":"2025","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"2","key":"10.1016\/j.icte.2026.02.003_b10","doi-asserted-by":"crossref","first-page":"3036","DOI":"10.1109\/JSYST.2022.3140546","article-title":"Noninvasive human activity recognition using millimeter-wave radar","volume":"16","author":"Yu","year":"2022","journal-title":"IEEE Syst. J."},{"key":"10.1016\/j.icte.2026.02.003_b11","doi-asserted-by":"crossref","unstructured":"L. Xu, K. Wang, C. Gu, X. Guo, S. He, J. Chen, GesturePrint: Enabling user identification for mmWave-based gesture recognition systems, in: Proc. IEEE Int. Conf. Distrib. Comput. Syst., ICDCS, 2024, pp. 1074\u20131085.","DOI":"10.1109\/ICDCS60910.2024.00103"},{"issue":"24","key":"10.1016\/j.icte.2026.02.003_b12","doi-asserted-by":"crossref","first-page":"54320","DOI":"10.1109\/JIOT.2025.3620864","article-title":"Gesture recognition with mmWave FMCW radar using a trajectory-aware graph encoder","volume":"12","author":"Eom","year":"2025","journal-title":"IEEE Internet Things J."},{"key":"10.1016\/j.icte.2026.02.003_b13","series-title":"The Fundamentals of Millimeter Wave Sensors","first-page":"1","author":"Iovescu","year":"2017"},{"key":"10.1016\/j.icte.2026.02.003_b14","unstructured":"V. Nair, G.E. Hinton, Rectified linear units improve restricted Boltzmann machines, in: Proc. ICML 2010, Haifa, Israel, Jun. 2010, pp. 807\u2013814."},{"key":"10.1016\/j.icte.2026.02.003_b15","unstructured":"A. Rahimi, B. Recht, Random features for large-scale kernel machines, in: Adv. Neural Inf. Process. Syst., vol. 20, Vancouver, Canada, 2007, pp. 1177\u20131184."},{"issue":"1\u20132","key":"10.1016\/j.icte.2026.02.003_b16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1561\/2200000060","article-title":"Kernel mean embedding of distributions: A review and beyond","volume":"10","author":"Muandet","year":"2017","journal-title":"Found. Trends Mach. Learn."},{"key":"10.1016\/j.icte.2026.02.003_b17","doi-asserted-by":"crossref","unstructured":"H. Cui, S. Zhong, J. Wu, Z. Shen, N. Dahnoun, Y. Zhao, MiliPoint: A point cloud dataset for mmWave radar, in: Proc. NeurIPS 2023, New Orleans, USA, 2023, pp. 62713\u201362726.","DOI":"10.52202\/075280-2739"},{"issue":"1","key":"10.1016\/j.icte.2026.02.003_b18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3448110","article-title":"Pantomime: Mid-air gesture recognition with sparse millimeter-wave radar point clouds","volume":"5","author":"Palipana","year":"2021","journal-title":"ACM Interact. Mob. Wearable Ubiquitous Technol."},{"key":"10.1016\/j.icte.2026.02.003_b19","unstructured":"C.R. Qi, L. Yi, H. Su, L.J. Guibas, PointNet++: Deep hierarchical feature learning on point sets in a metric space, in: Proc. NeurIPS 2017, Long Beach, USA, 2017."},{"key":"10.1016\/j.icte.2026.02.003_b20","series-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"Chung","year":"2014"},{"issue":"5","key":"10.1016\/j.icte.2026.02.003_b21","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1145\/3326362","article-title":"Dynamic graph CNN for learning on point clouds","volume":"38","author":"Wang","year":"2019","journal-title":"ACM Trans. Graph."},{"key":"10.1016\/j.icte.2026.02.003_b22","doi-asserted-by":"crossref","unstructured":"T. Shao, Z. Du, C. Li, T. Wu, M. Wang, Fast human action recognition via millimeter wave radar point cloud sequences learning, in: Proc. ACM CIKM 2024, Boise, USA, 2024, pp. 2024\u20132033.","DOI":"10.1145\/3627673.3679787"},{"key":"10.1016\/j.icte.2026.02.003_b23","doi-asserted-by":"crossref","unstructured":"X. Wu, et al., Point Transformer V3: Simpler Faster Stronger, in: Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit., CVPR, Seattle, WA, USA, 2024, pp. 4840\u20134851.","DOI":"10.1109\/CVPR52733.2024.00463"},{"issue":"1","key":"10.1016\/j.icte.2026.02.003_b24","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.artmed.2005.03.002","article-title":"Learning from imbalanced data in surveillance of nosocomial infection","volume":"37","author":"Cohen","year":"2006","journal-title":"Artif. Intell. Med."}],"container-title":["ICT Express"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S240595952600024X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S240595952600024X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T10:50:36Z","timestamp":1777632636000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S240595952600024X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4]]},"references-count":24,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,4]]}},"alternative-id":["S240595952600024X"],"URL":"https:\/\/doi.org\/10.1016\/j.icte.2026.02.003","relation":{},"ISSN":["2405-9595"],"issn-type":[{"value":"2405-9595","type":"print"}],"subject":[],"published":{"date-parts":[[2026,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Activity recognition and user identification using mmWave radar with a shared-backbone graph network and task-specific heads","name":"articletitle","label":"Article Title"},{"value":"ICT Express","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.icte.2026.02.003","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier B.V. on behalf of The Korean Institute of Communications and Information Sciences.","name":"copyright","label":"Copyright"}]}}