{"title":"非侵入式飞行员疲劳监测","authors":"Michael B. Dillard, U. Orhan, E. Letsu-Dake","doi":"10.1109/DASC.2016.7778093","DOIUrl":null,"url":null,"abstract":"Cognitive abilities are diminished when individuals are deprived of sleep. Due to the safety risks posed while flying fatigued, the effectiveness of a nonintrusive pilot fatigue monitoring system was evaluated by classifying yoke inputs. An AUC value of 0.9 was achieved. Critically, the system remained unobtrusive to the pilots by passively observing yoke behavior.","PeriodicalId":340472,"journal":{"name":"2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Nonintrusive pilot fatigue monitoring\",\"authors\":\"Michael B. Dillard, U. Orhan, E. Letsu-Dake\",\"doi\":\"10.1109/DASC.2016.7778093\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cognitive abilities are diminished when individuals are deprived of sleep. Due to the safety risks posed while flying fatigued, the effectiveness of a nonintrusive pilot fatigue monitoring system was evaluated by classifying yoke inputs. An AUC value of 0.9 was achieved. Critically, the system remained unobtrusive to the pilots by passively observing yoke behavior.\",\"PeriodicalId\":340472,\"journal\":{\"name\":\"2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC)\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DASC.2016.7778093\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DASC.2016.7778093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cognitive abilities are diminished when individuals are deprived of sleep. Due to the safety risks posed while flying fatigued, the effectiveness of a nonintrusive pilot fatigue monitoring system was evaluated by classifying yoke inputs. An AUC value of 0.9 was achieved. Critically, the system remained unobtrusive to the pilots by passively observing yoke behavior.
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