{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T01:00:44Z","timestamp":1771462844804,"version":"3.50.1"},"reference-count":11,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.23919\/icact.2019.8701928","type":"proceedings-article","created":{"date-parts":[[2019,5,2]],"date-time":"2019-05-02T18:58:41Z","timestamp":1556823521000},"page":"710-713","source":"Crossref","is-referenced-by-count":19,"title":["A Study on Feature Extraction Methods Used to Estimate a Driver\u2019s Level of Drowsiness"],"prefix":"10.23919","author":[{"given":"Kyong Hee","family":"Lee","sequence":"first","affiliation":[]},{"given":"Whui","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Hyun Kyun","family":"Choi","sequence":"additional","affiliation":[]},{"given":"Byung","family":"Tae Jang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2002.1041206"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/s131216494"},{"key":"ref10","article-title":"Real-time eye blink detection using facial landmarks","author":"soukupova","year":"2016","journal-title":"21st Comput Vis Winter Work"},{"key":"ref6","article-title":"Long-term Multi-granularity Deep Framework for Driver Drowsiness Detection","author":"lyu","year":"2018","journal-title":"MultiarXiv 1801 02325v1"},{"key":"ref11","article-title":"Driver drowsiness detection via a hierarchical temporal deep belief network","author":"weng","year":"2016","journal-title":"Asian Conference on Computer Vision Workshop on Driver Drowsiness Detection from Video"},{"key":"ref5","article-title":"Asleep at the automated wheel—Sleepiness and fatigue during highly automated driving","author":"vogelpohla","year":"2018","journal-title":"Accident Analysis and Prevention"},{"key":"ref8","article-title":"Detection of driver drowsiness using 3D deep neural network and semi-supervised gradient boosting machine","author":"huynh","year":"2016","journal-title":"Asian Conference on Computer Vision Workshop"},{"key":"ref7","article-title":"Representation Learning, “Scene Understanding and Feature Fusion for Drowsiness Detection","author":"yu","year":"2016","journal-title":"Asian Conference on Computer Vision Workshop"},{"key":"ref2","author":"ekman","year":"2002","journal-title":"Facial Action Coding System (FACS) Manual"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2013.132"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1117\/1.3657506"}],"event":{"name":"2019 21st International Conference on Advanced Communication Technology (ICACT)","location":"PyeongChang Kwangwoon_Do, Korea (South)","start":{"date-parts":[[2019,2,17]]},"end":{"date-parts":[[2019,2,20]]}},"container-title":["2019 21st International Conference on Advanced Communication Technology (ICACT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8694794\/8701885\/08701928.pdf?arnumber=8701928","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T19:07:07Z","timestamp":1558379227000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8701928\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2]]},"references-count":11,"URL":"https:\/\/doi.org\/10.23919\/icact.2019.8701928","relation":{},"subject":[],"published":{"date-parts":[[2019,2]]}}}