Jennifer Cori, Lauren A Booker, Tracey L Sletten, Shantha M W Rajaratnam, David Stanley, Liam Francis, Kayla McMahon, Kyle Wilson, Meghan Mulhall, Mark E Howard
{"title":"评估基于摄像机的疲劳和分心检测技术在农村卡车司机队列中的有效性。","authors":"Jennifer Cori, Lauren A Booker, Tracey L Sletten, Shantha M W Rajaratnam, David Stanley, Liam Francis, Kayla McMahon, Kyle Wilson, Meghan Mulhall, Mark E Howard","doi":"10.1097/JOM.0000000000003350","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>This study aims to evaluate the effectiveness of fatigue detection technology (FDT) cabin alarms in reducing fatigue events in rural truck drivers, assess the accuracy in detecting fatigue events alarms, and examine whether drivers habituate to alarms over time.</p><p><strong>Methods: </strong>This is longitudinal naturalistic study of fatigue events before and after alarm activation in 12 rural commercial trucks.</p><p><strong>Results: </strong>The rate showed fatigue events were significantly higher when alarms were off (0.06), compared to when alarms were activated (0.03) (rate ratio = 0.5 [0.4, 0.7], P < 0.001). Fatigue events increased as the alarm phase continued, indicating habituation. The device classified fatigue events with 49% precision, 32% were false positives, and 18% reclassified as distraction when human verified.</p><p><strong>Conclusions: </strong>In-cabin fatigue, alarms significantly reduced the rate of fatigue events initially but increased again overtime.</p>","PeriodicalId":94100,"journal":{"name":"Journal of occupational and environmental medicine","volume":" ","pages":"e352-e360"},"PeriodicalIF":1.4000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating the Effectiveness of Camera-Based Fatigue and Distraction Detection Technology in a Rural Truck Driver Cohort.\",\"authors\":\"Jennifer Cori, Lauren A Booker, Tracey L Sletten, Shantha M W Rajaratnam, David Stanley, Liam Francis, Kayla McMahon, Kyle Wilson, Meghan Mulhall, Mark E Howard\",\"doi\":\"10.1097/JOM.0000000000003350\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>This study aims to evaluate the effectiveness of fatigue detection technology (FDT) cabin alarms in reducing fatigue events in rural truck drivers, assess the accuracy in detecting fatigue events alarms, and examine whether drivers habituate to alarms over time.</p><p><strong>Methods: </strong>This is longitudinal naturalistic study of fatigue events before and after alarm activation in 12 rural commercial trucks.</p><p><strong>Results: </strong>The rate showed fatigue events were significantly higher when alarms were off (0.06), compared to when alarms were activated (0.03) (rate ratio = 0.5 [0.4, 0.7], P < 0.001). Fatigue events increased as the alarm phase continued, indicating habituation. The device classified fatigue events with 49% precision, 32% were false positives, and 18% reclassified as distraction when human verified.</p><p><strong>Conclusions: </strong>In-cabin fatigue, alarms significantly reduced the rate of fatigue events initially but increased again overtime.</p>\",\"PeriodicalId\":94100,\"journal\":{\"name\":\"Journal of occupational and environmental medicine\",\"volume\":\" \",\"pages\":\"e352-e360\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2025-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of occupational and environmental medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1097/JOM.0000000000003350\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/20 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of occupational and environmental medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/JOM.0000000000003350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/20 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluating the Effectiveness of Camera-Based Fatigue and Distraction Detection Technology in a Rural Truck Driver Cohort.
Objectives: This study aims to evaluate the effectiveness of fatigue detection technology (FDT) cabin alarms in reducing fatigue events in rural truck drivers, assess the accuracy in detecting fatigue events alarms, and examine whether drivers habituate to alarms over time.
Methods: This is longitudinal naturalistic study of fatigue events before and after alarm activation in 12 rural commercial trucks.
Results: The rate showed fatigue events were significantly higher when alarms were off (0.06), compared to when alarms were activated (0.03) (rate ratio = 0.5 [0.4, 0.7], P < 0.001). Fatigue events increased as the alarm phase continued, indicating habituation. The device classified fatigue events with 49% precision, 32% were false positives, and 18% reclassified as distraction when human verified.
Conclusions: In-cabin fatigue, alarms significantly reduced the rate of fatigue events initially but increased again overtime.
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