Detection of driver drowsiness using wearable devices: A feasibility   study of the proximity sensor

doi:10.1016/j.apergo.2017.02.016

CORC > 北京大学 > 心理与认知科学学院

	Detection of driver drowsiness using wearable devices: A feasibility study of the proximity sensor
	He, Jibo ; Choi, William ; Yang, Yan ; Lu, Junshi ; Wu, Xiaohui ; Peng, Kaiping
刊名	APPLIED ERGONOMICS
	2017
关键词	Driver drowsiness Wearable device Proximity sensor HEART-RATE-VARIABILITY SLEEP-DEPRIVATION DRIVING PERFORMANCE FATIGUE DETECTION TIME DURATION ENVIRONMENT TRACKING ALCOHOL CRASHES
DOI	10.1016/j.apergo.2017.02.016
英文摘要	Background: Drowsiness is one of the major factors that cause crashes in the transportation industry. Drowsiness detection systems can alert drowsy operators and potentially reduce the risk of crashes. In this study, a Google-Glass-based drowsiness detection system was developed and validated. Methods: The proximity sensor of Google Glass was used to monitor eye blink frequency. A simulated driving study was carried out to validate the system. Driving performance and eye blinks were compared between the two states of alertness and drowsiness while driving. Results: Drowsy drivers increased frequency of eye blinks, produced longer braking response time and increased lane deviation, compared to when they were alert. A threshold algorithm for proximity sensor can reliably detect eye blinks and proved the feasibility of using Google Glass to detect operator drowsiness. Applications: This technology provides a new platform to detect operator drowsiness and has the potential to reduce drowsiness-related crashes in driving and aviation. (C) 2017 Elsevier Ltd. All rights reserved.; Vigo Technologies Inc.; Wichita State University; SCI(E); SSCI; ARTICLE; 473-480; 65
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/468929]
专题	心理与认知科学学院
推荐引用方式 GB/T 7714	He, Jibo,Choi, William,Yang, Yan,et al. Detection of driver drowsiness using wearable devices: A feasibility study of the proximity sensor[J]. APPLIED ERGONOMICS,2017.
APA	He, Jibo,Choi, William,Yang, Yan,Lu, Junshi,Wu, Xiaohui,&Peng, Kaiping.(2017).Detection of driver drowsiness using wearable devices: A feasibility study of the proximity sensor.APPLIED ERGONOMICS.
MLA	He, Jibo,et al."Detection of driver drowsiness using wearable devices: A feasibility study of the proximity sensor".APPLIED ERGONOMICS (2017).