BACKGROUND We determined the levels of subjective and observer drowsiness and facial dynamics changes. METHODS This experimental study was done in the virtual reality laboratory of Khaje-Nasir Toosi University of Technology in 2015. Facial dynamics changes like changes in eyes, mouth and eyebrows were surveyed on twenty-five drivers in 2015byKSS (Karolinska Sleepiness Scale) and ORD (Observer...

PURPOSE In our previous study to investigate autonomic nervous system (ANS) activity due to radio frequency (RF) radiation using heart rate variability (HRV), drowsiness was observed in approximately half of all subjects. Therefore, the usage of HRV with unwanted drowsiness could falsely indicate the effects of RF radiation by mobile phones on the ANS. The objective of this study was to determi...

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...

ABSTRACT Absence of forbearance among drivers, fatigue and irresponsible behaviour drivers result in countless fatal crashes road traffic injuries. Driver drowsiness is a highly problematic issue which impairs judgment decision making resulting motor crashes. This paper describes simple detection approach for smartphone with Android application using Studio 3.6.1 Mobile Vision API before while ...

Drowsiness detection is an important task in road safety and other areas that require sustained attention. In this article, approach to detect drowsiness drivers presented, focusing on the eye region, since fatigue one of first symptoms drowsiness. The method used for extraction region Mediapipe, chosen its high accuracy robustness. Three neural networks were analyzed based InceptionV3, VGG16 R...

this study investigates the detection of the drowsiness state for a future application such as in the reduction ofthe road traffic accidents. the electroencephalography(eeg), electrooculography (eog), driving quality (dq), and karolinska sleepiness scale (kss) data of 7 male during approximately 20 hours of sleep deprivation were recorded. to reduce the eye blink artifact, an automatic mechanis...

Several factors often contribute to car accidents, most of them caused by human error, and the notable are drowsiness, fatigue, distracted driving, alcohol. Although self-driving cars best solution save lives avoid they expensive. The roads in many countries not prepared for movement this type car. Scare new technologies included modern cars, such as backup cameras sensors, contributed keeping ...

or extreme rarity of mental symptoms like delirium, mental drowsiness, etc., in kala-azar. This is one of the few negative points of diagnostic significance in clinical medicine. Even in ' enteric type ' of the disease, though the case may simulate one of enteric fever very closely, the toxic drowsiness of the enteric patient is conspicuous by its absence. Even in what Manson-Bahr terms the 1 a...

Although much is known about human body vibration discomfort, there is little research data on the effects of vibration on vehicle occupant drowsiness. A laboratory experimental setup has been developed. Vibration was applied to the volunteers sitting on the vehicle seat mounted on the vibration platform. Seated volunteers were exposed to a Gaussian random vibration, with 1-15 Hz frequency band...

In recent years, driver drowsiness and driver inattention are the major causes for road accidents leading to severe traumas such as physical injuries, deaths, and economic losses. This necessitates the need for a system that can alert the driver on time, whenever he is drowsy or inattentive. Previous research works report the detection of either drowsiness or inattention only. In this work, we ...