{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T15:56:20Z","timestamp":1778082980037,"version":"3.51.4"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2018R1D1A1B07041921"],"award-info":[{"award-number":["NRF-2018R1D1A1B07041921"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NRF"},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2019R1F1A1041123"],"award-info":[{"award-number":["NRF-2019R1F1A1041123"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NRF"},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2016M3A9E1915855"],"award-info":[{"award-number":["NRF-2016M3A9E1915855"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2928339","type":"journal-article","created":{"date-parts":[[2019,7,11]],"date-time":"2019-07-11T19:54:52Z","timestamp":1562874892000},"page":"93448-93461","source":"Crossref","is-referenced-by-count":38,"title":["Driver Gaze Detection Based on Deep Residual Networks Using the Combined Single Image of Dual Near-Infrared Cameras"],"prefix":"10.1109","volume":"7","author":[{"given":"Hyo Sik","family":"Yoon","sequence":"first","affiliation":[]},{"given":"Na Rae","family":"Baek","sequence":"additional","affiliation":[]},{"given":"Noi Quang","family":"Truong","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1214-9510","authenticated-orcid":false,"given":"Kang Ryoung","family":"Park","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","year":"2019","journal-title":"Jetson TX2 Module"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2010.2091503"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"459","DOI":"10.3390\/s18020456","article-title":"Deep learning-based gaze detection system for automobile drivers using a NIR camera sensor","volume":"18","author":"naqvi","year":"2018","journal-title":"SENSORS"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-6490-7"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref36","year":"2019","journal-title":"Caffe"},{"key":"ref35","year":"2019","journal-title":"Dongguk Dual Camera-based Gaze Database (DDCG-DB1) and Trained Residual Network with Algorithm"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2003.821342"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1177\/1541931213601289"},{"key":"ref40","year":"2019","journal-title":"faceLAB"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2007.895298"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2014.2300870"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2007.4290191"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2014.6856607"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2014.6957817"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2017.7995822"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.241"},{"key":"ref18","year":"2019","journal-title":"USB Camera Module (ELP-USB500W02M-L36)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref28","first-page":"143","article-title":"Real-time categorization of driver gaze zone using the deep learning techniques","author":"choi","year":"2016","journal-title":"Proc Int Conf Big Data Smart Comput"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2526050"},{"key":"ref27","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2016.7795623"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCS1.2017.8326022"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2501988.2501994"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2396031"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cvi.2015.0296"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2271052"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2006.869598"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2247759"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2000.902999"},{"key":"ref20","year":"2019","journal-title":"CS231n Convolutional Neural Networks for Visual Recognition"},{"key":"ref22","year":"2019","journal-title":"Renault Samsung SM5"},{"key":"ref21","first-page":"315","article-title":"Deep sparse rectifier neural networks","author":"glorot","year":"2011","journal-title":"Proc 14th Int Conf Artif Intell Statist"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref24","year":"2019","journal-title":"Opencv"},{"key":"ref41","year":"2019","journal-title":"Pretrained Deep Neural Networks"},{"key":"ref23","year":"2019","journal-title":"Geforce GTX 1070"},{"key":"ref44","article-title":"YOLOv3: An incremental improvement","author":"redmon","year":"2018","journal-title":"arXiv 1804 02767"},{"key":"ref26","first-page":"1097","article-title":"Imagenet Classification with Deep Convolutional Neural Networks","author":"krizhevsky","year":"2012","journal-title":"Proc 25th Int Conf Neural Inf Process Syst"},{"key":"ref43","year":"2019","journal-title":"Darknet Open source neural networks in c"},{"key":"ref25","year":"0","journal-title":"Stochastic Gradient Descent"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08760229.pdf?arnumber=8760229","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T05:42:13Z","timestamp":1695015733000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8760229\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2928339","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}