With the progress of science technology and the vehicle industry, there are more and more vehicles on the road. As a result, the heavy traffic often leads to more and more traffic accidents. In common traffic accident, the driver’s inattention is usually a main reason. To avoid this situation, this paper proposes a sleepy eye's recognition system for drowsiness detection. First, a cascaded Adab...

Every year 15,000 people are killed on US highways in single vehicle roadway departure automobile crashes, often because of driver drowsiness or inattention. This talk will describe techniques we are developing to prevent these tragedies. Learning is central to this work due to the extreme variability of environmental conditions and individual driver styles. I will describe our recent progress ...

Safety driving performance estimation and alertness (SDPEA) has drawn the attention of researchers in preventing traffic accidents caused by drowsiness while driving. Psychophysiological measures, such as electroencephalogram (EEG), are accurately investigated to be robust candidates for drivers’ drowsiness evaluation. This paper presents an effective EEG-based driver drowsiness monitoring syst...

The increasing technological inventions like cellular phones and GPS devices, we observe increasing number of distractions to divert the driver’s attention. This distraction has led to increasing number of accidents on road, which brings a need of a Drowsiness Detection System that calculates various eye parameters to help the driver stay alert. This type of system brings about alertness and ac...

The process of determining if a person, generally driver, is becoming sleepy or drowsy while performing task such as driving known drowsiness detection. It necessary system for detecting and alerting drivers to their tiredness, which might impair ability lead accidents. project aims create reliable efficient capable real-time detection using OpenCV, Dlib, facial landmark technologies. project's...

This paper presents a drowsiness on-line detection system for monitoring driver fatigue level under real driving conditions, based on the data of steering wheel angles (SWA) collected from sensors mounted on the steering lever. The proposed system firstly extracts approximate entropy (ApEn)featuresfromfixedslidingwindowsonreal-timesteeringwheelanglestimeseries. Afterthat, this system linearizes t...

This paper aims to provide reliable indications of driver drowsiness based on the characteristics of driver–vehicle interaction. A test bed was built under a simulated driving environment, and a total of 12 subjects participated in two experiment sessions requiring different levels of sleep (partial sleepdeprivation versus no sleep-deprivation) before the experiment. The performance of the subj...

Several approaches were proposed for the detection and prediction of drowsiness. The approaches can be categorized as estimating the fitness of duty, modeling the sleep-wake rhythms, measuring the vehicle based performance and online operator monitoring. Computer vision based online operator monitoring approach has become prominent due to its predictive ability of detecting drowsiness. Previous...

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 ...