{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T04:27:41Z","timestamp":1772944061039,"version":"3.50.1"},"reference-count":67,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2017,4,1]],"date-time":"2017-04-01T00:00:00Z","timestamp":1491004800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2017,4,1]]},"DOI":"10.1109\/taffc.2016.2584042","type":"journal-article","created":{"date-parts":[[2016,6,23]],"date-time":"2016-06-23T18:19:42Z","timestamp":1466705982000},"page":"161-175","source":"Crossref","is-referenced-by-count":21,"title":["Action Units and Their Cross-Correlations for Prediction of Cognitive Load during Driving"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2688-1873","authenticated-orcid":false,"given":"Anil","family":"Yuce","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hua","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gabriel L.","family":"Cuendet","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jean-Philippe","family":"Thiran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.2307\/3001968"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2012.04.004"},{"key":"ref33","first-page":"57","article-title":"The lane-change-task as a tool for driver distraction evaluation","author":"mattes","year":"2003","journal-title":"Quality of Work and Products in Enterprises of the Future"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7026203"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2014.2324414"},{"key":"ref30","first-page":"256","article-title":"A visual-based driver distraction recognition and detection using random forest","author":"ragab","year":"2014","journal-title":"Image Analysis and Recognition"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/0749-596X(89)90040-5"},{"key":"ref36","first-page":"199","article-title":"Effects of visual and cognitive distraction on lane change test performance","author":"engstr\u00f6m","year":"0","journal-title":"Proc 4th Int Driving Symp Hum Factors Driver Assess Training Veh Design"},{"key":"ref35","first-page":"16","article-title":"Using the lane-change test (LCT) to assess distraction: Tests of visual-manual and speech-based operation of navigation system interfaces","author":"harbluk","year":"0","journal-title":"Proc 4th Int Driving Symp Hum Factors Driver Assess Training Veh Design"},{"key":"ref34","year":"2010","journal-title":"Road Vehicles&#x2014;Ergonomic Aspects of Transport Information and Control Systems&#x2014;Simulated Lane Change Test to Assess In-Vehicle Secondary Task Demand"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1145\/2661806.2661809"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/2512530.2512533"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/2512530.2512531"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/2661806.2661807"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1243\/09544070JAUTO332"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.01.018"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref66","first-page":"2825","article-title":"Scikit-learn: Machine learning in python","volume":"12","author":"pedregosa et","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2010.46"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-014-9276-x"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1201\/9781420007497.ch3"},{"key":"ref1","article-title":"Defining driver distraction","author":"pettitt","year":"0","journal-title":"Proc 12th World Congr Intell Transp Syst"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2010.2044241"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-75773-3_2"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2006.869598"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2119483"},{"key":"ref23","first-page":"157","article-title":"Non-intrusive detection of driver distraction using machine learning algorithms.","author":"tango","year":"0","journal-title":"Proc 19th Eur Conf Artif Intell"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2012.2187517"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3141\/2018-01"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2007.11.032"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2013.162"},{"key":"ref58","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1093\/oso\/9780195130072.003.0005","article-title":"Appraisal considered as a process of multilevel sequential checking","author":"scherer","year":"2001","journal-title":"Appraisal Processes in Emotion Theory Methods Research"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2014.10.004"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2011.5771374"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2010.5543262"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2014.11.007"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.298"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2008.08.006"},{"key":"ref10","first-page":"5","article-title":"An overview of the 100-car naturalistic study and findings","author":"neale","year":"0"},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.1037\/e622372011-001","article-title":"Driver distraction in commercial vehicle operations","author":"olson","year":"2009"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-01793-3_4"},{"key":"ref12","volume":"1","author":"victor","year":"2013","journal-title":"Driver Distraction and Inattention Advances in Research and Countermeasures"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2011.07.008"},{"key":"ref14","article-title":"The facial action coding system","author":"ekman","year":"2002"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2015.7284871"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2010.2092770"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2013.85"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2004.1398917"},{"key":"ref19","first-page":"ii-870","article-title":"Facial event classification with task oriented dynamic Bayesian network","volume":"2","author":"gu","year":"0","journal-title":"Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit"},{"key":"ref4","author":"stutts","year":"2001","journal-title":"The role of driver distraction in traffic crashes"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2011.04.008"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.e8105"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-385527-5.00002-4"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2013.06.004"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2013.08.011"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2011.20"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2015.01.005"},{"key":"ref46","article-title":"3D bilinear face model fitting from multiple cameras","author":"ecabert","year":"2014"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.2008.4813340"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2014.06.002"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2015.7284874"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.220"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126336"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.75"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1109\/TVCG.2013.249","article-title":"FaceWarehouse: A 3D facial expression database for visual computing","volume":"20","author":"cao","year":"2014","journal-title":"IEEE Trans Vis Comput Grapics"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165369\/7934467\/07498613.pdf?arnumber=7498613","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,17]],"date-time":"2024-06-17T21:03:08Z","timestamp":1718658188000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7498613\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4,1]]},"references-count":67,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2016.2584042","relation":{},"ISSN":["1949-3045"],"issn-type":[{"value":"1949-3045","type":"print"}],"subject":[],"published":{"date-parts":[[2017,4,1]]}}}