{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,3,5]],"date-time":"2024-03-05T23:30:42Z","timestamp":1709681442504},"reference-count":45,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100013076","name":"National Science and Technology Projects of China","doi-asserted-by":"publisher","award":["D5120190078"],"id":[{"id":"10.13039\/501100013076","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015401","name":"Key Research and Development Projects of Shaanxi Province","doi-asserted-by":"publisher","award":["2023-YBGY-201","2023-YBGY-228"],"id":[{"id":"10.13039\/501100015401","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tim.2024.3366277","type":"journal-article","created":{"date-parts":[[2024,2,15]],"date-time":"2024-02-15T18:48:50Z","timestamp":1708022930000},"page":"1-11","source":"Crossref","is-referenced-by-count":0,"title":["DWOSC: Dynamic Weight Optimization and Smoothness Constraint for Sensor-Based Human Activity Recognition"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-9925-4558","authenticated-orcid":false,"given":"Ying","family":"Li","sequence":"first","affiliation":[{"name":"Cloud Software and Intelligent Decision Laboratory, School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3974-5838","authenticated-orcid":false,"given":"Junsheng","family":"Wu","sequence":"additional","affiliation":[{"name":"Cloud Software and Intelligent Decision Laboratory, School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-8290-2275","authenticated-orcid":false,"given":"Weigang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Software, Northwestern Polytechnical University, Xi’an, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-0425-7626","authenticated-orcid":false,"given":"Aiqing","family":"Fang","sequence":"additional","affiliation":[{"name":"College of Computer and Information Science, Chongqing Normal University, Chongqing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2022.111445"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.3044929"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106970"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.11.011"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/352"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-013-0665-3"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3537972.3537996"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806333"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.37965\/jait.2020.0051"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2021.3132088"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2022.3158427"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3126686.3126764"},{"key":"ref13","first-page":"9031","article-title":"FastGRNN: A fast, accurate, stable and tiny kilobyte sized gated recurrent neural network","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst. (NIPS)","author":"Kusupati"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/icetci51973.2021.9574073"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3410530.3414334"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1108\/k-07-2014-0138"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/iri.2018.00018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/s21227628"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3090076"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2022.3140465"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/431"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/jsen.2020.3045135"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107671"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.07.011"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ijcnn48605.2020.9207697"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(92)90242-f"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2012.12.014"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2370216.2370438"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/app7101101"},{"key":"ref33","article-title":"Evaluation: From precision, recall and F-measure to ROC, informedness, markedness and correlation","author":"Powers","year":"2020","journal-title":"arXiv:2010.16061"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref36","first-page":"1","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","volume-title":"Proc. 5th Int. Conf. Comput., Commun. Secur.","author":"Gulcehre"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2021.3092396"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2023.3279908"},{"key":"ref40","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107728"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450006"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3410531.3414306"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2020.3013403"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/tii.2022.3165875"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10367905\/10438037.pdf?arnumber=10438037","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T02:07:10Z","timestamp":1709258830000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10438037\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/tim.2024.3366277","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}