Temporal EEG Imaging for Drowsy Driving Prediction
نویسندگان
چکیده
منابع مشابه
An EEG-based perceptual function integration network for application to drowsy driving
Drowsy driving is among the most critical causes of fatal crashes. Thus, the development of an effective algorithm for detecting a driver’s cognitive state demands immediate attention. For decades, studies have observed clear evidence using electroencephalography that the brain’s rhythmic activities fluctuate from alertness to drowsiness. Recognition of this physiological signal is the major co...
متن کاملDrowsy Driving Detection and Monitoring Based On EEG Signals and Global Position System
Drowsy driving is one of important factors to cause the car accident. The parents usually worry about the traffic safe of their children. Therefore, we proposed a drowsy detection and monitoring system through Internet in this paper. Firstly, the brain wave was captured by single channel EEG device. Therefore the drowsy state of driver can be analyzed by drowsiness detection system. The system ...
متن کاملThe Prevalence and Impact of Drowsy Driving
Studies have documented operator drowsiness, sleepiness, or fatigue as causal or contributing factors in aviation, maritime, and trucking accidents. However, estimates of the prevalence of drowsy drivers on the road and of the proportion of motor vehicle crashes that involve drowsy drivers vary widely. This study presents new estimates of the prevalence of drowsy drivers on U.S. roads and of th...
متن کاملIdentifying changes in EEG information transfer during drowsy driving by transfer entropy
Drowsy driving is a major cause of automobile accidents. Previous studies used neuroimaging based approaches such as analysis of electroencephalogram (EEG) activities to understand the brain dynamics of different cortical regions during drowsy driving. However, the coupling between brain regions responding to this vigilance change is still unclear. To have a comprehensive understanding of neura...
متن کاملEvaluation of Drowsiness by EEG analysis - Basic Study on ITS Development for the Prevention of Drowsy Driving -
The aim of this study was to identify a useful measure to estimate an arousal level of drivers, to apply the result to develop ITS (Intelligent Transportation System) that can warn drivers of their low arousal state and to prevent driving under low arousal level from occurring and contribute to the reduction of traffic accidents. The EEG(electroencephalography) during a monotonous task was meas...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Sciences
سال: 2019
ISSN: 2076-3417
DOI: 10.3390/app9235078