{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T07:43:26Z","timestamp":1790063006160,"version":"4.0.1"},"reference-count":26,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100004775","name":"Key Project of Natural Science Foundation of Gansu Province, China","doi-asserted-by":"publisher","award":["25JRRA062"],"award-info":[{"award-number":["25JRRA062"]}],"id":[{"id":"10.13039\/501100004775","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Gansu Provincial Key Talent Program","award":["2025RCXM022"],"award-info":[{"award-number":["2025RCXM022"]}]},{"name":"Gansu Provincial Education Department Industrial Support Program","award":["2025CYZC-029"],"award-info":[{"award-number":["2025CYZC-029"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3620410","type":"journal-article","created":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T17:41:52Z","timestamp":1760377312000},"page":"182315-182330","source":"Crossref","is-referenced-by-count":1,"title":["Lightweight Similar Human Action Recognition Through Walls via IR-UWB Radar and Multi-Domain Feature Fusion"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6942-4168","authenticated-orcid":false,"given":"Ling","family":"Huang","sequence":"first","affiliation":[{"name":"School of Modern Microelectronics Industry, Lanzhou University of Technology, Lanzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9864-1825","authenticated-orcid":false,"given":"Bowen","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Modern Microelectronics Industry, Lanzhou University of Technology, Lanzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-7480-1209","authenticated-orcid":false,"given":"Tingting","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Modern Microelectronics Industry, Lanzhou University of Technology, Lanzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7399-5888","authenticated-orcid":false,"given":"Mengjie","family":"Qian","sequence":"additional","affiliation":[{"name":"School of Modern Microelectronics Industry, Lanzhou University of Technology, Lanzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lulu","family":"Bai","sequence":"additional","affiliation":[{"name":"School of Modern Microelectronics Industry, Lanzhou University of Technology, Lanzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1","article-title":"Review on human action recognition methods based on multimodal data","volume":"60","author":"Wang","year":"2024","journal-title":"Comput. Eng. Appl."},{"issue":"3","key":"ref2","first-page":"14","article-title":"Overview of human posture recognition by ultra-wideband radar","volume":"57","author":"Li","year":"2021","journal-title":"Comput. Eng. Appl."},{"key":"ref3","article-title":"A comprehensive overview on UWB radar: Applications, standards, signal processing techniques, datasets, radio chips, trends and future research directions","author":"Cheraghinia","year":"2024","journal-title":"arXiv:2402.05649"},{"issue":"4","key":"ref4","first-page":"636","article-title":"Human action recognition algorithm incorporating global and local features by UWB radar","volume":"35","author":"Li","year":"2023","journal-title":"J. Chongqing Univ. Posts Telecommun. (Nat. Sci. Ed.)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/jsen.2021.3088122"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1049\/iet-map.2018.5234"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/app14209522"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/rs17091515"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2015.2491329"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2021.3063504"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/rs13214264"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/s23115100"},{"issue":"2","key":"ref13","first-page":"343","article-title":"Fall detection based on deep learning fusing ultrawideband radar spectrograms","volume":"12","author":"He","year":"2023","journal-title":"J. Radars"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/rs15082101"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3650400.3650536"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1970392.1970395"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2019.00140"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr42600.2020.01155"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr42600.2020.00165"},{"key":"ref20","first-page":"9969","article-title":"GhostNetV2: Enhance cheap operation with long-range attention","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Tang"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.202"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/wacv48630.2021.00360"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/icassp49357.2023.10096516"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2017.324"},{"key":"ref25","article-title":"A disciplined approach to neural network hyper-parameters: Part 1\u2013learning rate, batch size, momentum, and weight decay","author":"Smith","year":"2018","journal-title":"arXiv:1803.09820"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/rs11212584"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11202181.pdf?arnumber=11202181","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T17:40:12Z","timestamp":1761759612000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11202181\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3620410","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}