{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T22:20:34Z","timestamp":1765232434078,"version":"3.37.3"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2017,12,1]],"date-time":"2017-12-01T00:00:00Z","timestamp":1512086400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100003565","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61304205","61502240","61304197","41301037"],"award-info":[{"award-number":["61304205","61502240","61304197","41301037"]}],"id":[{"id":"10.13039\/501100003565","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20141002"],"award-info":[{"award-number":["BK20141002"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"name":"College Students Practice Innovation Training Program of Nuist","award":["201610300231","201610300048"],"award-info":[{"award-number":["201610300231","201610300048"]}]},{"DOI":"10.13039\/100000140","name":"U.S. Department of Transportation through the NEXTRANS Center, the USDOT Region 5 University Transportation Center","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000140","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1109\/tits.2017.2690914","type":"journal-article","created":{"date-parts":[[2017,4,24]],"date-time":"2017-04-24T21:07:31Z","timestamp":1493068051000},"page":"3408-3420","source":"Crossref","is-referenced-by-count":61,"title":["A Real-Time Fatigue Driving Recognition Method Incorporating Contextual Features and Two Fusion Levels"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4870-2971","authenticated-orcid":false,"given":"Wei","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaorui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Srinivas","family":"Peeta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1633-4748","authenticated-orcid":false,"given":"Xiaozheng","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7701-8351","authenticated-orcid":false,"given":"Yongfu","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2014.04.015"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2008.06.018"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/72.991427"},{"key":"ref32","first-page":"814","article-title":"Data fusion detection model based on SVM and evidence theory","author":"xie","year":"2012","journal-title":"Proc IEEE 14th Int Conf Commun Technol"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/832621"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.12.021"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2008.04.033"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-007-5018-6"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/iCECE.2010.264"},{"key":"ref34","article-title":"Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods","author":"platt","year":"2000","journal-title":"Advances in Large Margin Classifiers"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.01.048"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/S1566-2535(02)00053-2"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2008.928243"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1109\/TSMCC.2011.2166067","article-title":"Applying a functional neurofuzzy network to real-time lane detection and front-vehicle distance measurement","volume":"42","author":"wu","year":"2012","journal-title":"IEEE Trans Syst Man Cybern C Appl Rev"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1177\/0018720813515272"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1243\/0954407011528536"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2010.2092770"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3141\/2402-03"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsr.2014.01.003"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1243\/09544070JAUTO513"},{"key":"ref19","first-page":"5321","article-title":"A driver fatigue recognition model using multiple physiological features based on support vector machine","volume":"15","author":"li","year":"2012","journal-title":"Information"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.trf.2010.06.006"},{"key":"ref4","first-page":"407","article-title":"EEG-based fatigue driving detection using correlation dimension","volume":"16","author":"wang","year":"2014","journal-title":"J Vibroeng"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2010.10.013"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065714500063"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.01.018"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3109\/00207459008994241"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2004.830974"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2014.01.020"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.07.108"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2275192"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2006.869598"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2462084"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2010.01.011"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2005.1571406"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/hfm.20395"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2582900"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/s150924191"},{"key":"ref26","first-page":"1","article-title":"Don’t sleep and drive-VW’s fatigue detection technology","author":"von jan","year":"2005","journal-title":"Proc 19th Enhanced Safety Vehicles Conf"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IHCI.2012.6481864"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/8169696\/07907221.pdf?arnumber=7907221","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:25:34Z","timestamp":1642004734000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7907221\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12]]},"references-count":40,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tits.2017.2690914","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"type":"print","value":"1524-9050"},{"type":"electronic","value":"1558-0016"}],"subject":[],"published":{"date-parts":[[2017,12]]}}}