PURPOSE To investigate effects of alertness on three-dimensional (3D) eye movements. METHODS During drowsy and alert periods, 3D eye movements were recorded with dual search coils in three normal rhesus monkeys, and in two of these monkeys after placement of bilateral kainic acid lesions of the rostral interstitial nucleus of the medial longitudinal fasciculus (riMLF). RESULTS When the thre...

Various driver’s vigilance estimation techniques currently exist in the literature. But none of them estimates complexity domain. In this research, we propose recently introduced multivariate multiscale entropy method to fill above mentioned research gap. We apply technique differential features electroencephalogram and electrooculogram signals detect vigilance. Also, employ it percentage eye c...

Earth-moving vehicles (EMVs) are vital in numerous industries, including construction, forestry, mining, cleaning, and agriculture. The changing nature of the off-road environment which they operate makes situational awareness for readiness and, consequently, mental stress crucial drivers requires a high level controllability. Therefore, monitoring drivers’ acute patterns may be used as an inpu...

Because of the increased number traffic accidents, there is an urgent need to control and reduce driving mistakes. Driver fatigue or drowsiness one these major Many algorithms have been developed address this issue by detecting alerting driver potentially dangerous condition. The algorithms’ main problem their detection accuracy, as well time required detect status alert driver. accuracy...

ITE JOURNAL / JULY 2003 INTRODUCTION The National Highway Traffic Safety Administration (NHTSA) has estimated that driver inattention is a causative factor in 25–30 percent of police-reported traffic crashes in the United States— approximately 1.2 million crashes per year.1,2 An inattentive driver may be distracted temporarily from the driving task by something inside or outside the vehicle, ma...

Drowsy driving causes many accidents. Driver alertness and automobile control are challenged. Thus, a driver drowsiness detection system is becoming necessity. In fact, invasive approaches that analyze electroencephalography signals with head electrodes inconvenient for drivers. Other non-invasive fatigue studies focus on yawning or eye blinks. The analysis of several facial components has yiel...

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...

Drowsy driving is one of the common causes road accidents resulting in injuries, even death, and significant economic losses to drivers, users, families, society. There have been many studies carried out an attempt detect drowsiness for alert systems. However, a majority focused on determining eyelid mouth movements, which revealed limitations detection. Besides, physiological measures-based ma...