based on previous researches and current research indoor contaminations in most of the time were more than outdoor contaminations. in according to, most of our times have been spent in indoor environments (85-90%), therefore, it is necessary to investigate indoor environments. symptoms of sick building syndrome are headache, dizziness, drowsiness. unknown reasons of disease above mentioned and ...

We developed an EEG-based probabilistic model, which effectively predicts drowsiness levels of thirty-two subjects involved in a moving base driving simulator experiment. A hierarchical Gaussian mixture model (hGMM) with two mixture components at the lower hierarchical level is used. Each mixture models the data density distribution of one of the two drowsiness cornerstones/classes represented ...

Driver drowsiness detection technologies have the ability to avoid a catastrophic accident by warning the driver of his drowsiness. A number of methods have been proposed to detect drowsiness in the past few years. These methods are categorized into two major categories. One focuses on detecting physical changes during drowsiness by image processing techniques, such as percentage of eye-closure...

Driver drowsiness is one of the major causes of serious traffic accidents, which makes this an area of great socioeconomic concern. Continuous monitoring of drivers’ drowsiness thus is of great importance to reduce drowsiness-caused accidents. This proposed research developed a real-time, nonintrusive driver drowsiness detection system by building biosensors on the automobile steering wheel and...

Text: The involvement of drowsiness in a large number of accidents, whether in private or professional activities, makes its detection a major societal issue to improve public health and safety. Drowsiness is the intermediate state between wakefulness and sleep. It is characterized by impairments of performance, e.g. slow reaction time, loss of vigilance, and deficits in information processing;...

Text: The involvement of drowsiness in a large number of accidents, whether in private or professional activities, makes its detection a major societal issue to improve public health and safety. Drowsiness is the intermediate state between wakefulness and sleep. It is characterized by impairments of performance, e.g. slow reaction time, loss of vigilance, and deficits in information processing;...

This paper presents the method of detecting driver’s drowsiness level from the facial expression. The motivation for this research is to realize the novel safety system which can detect the driver’s slight drowsiness and keep the driver awake while driving. The brain wave is commonly used as the drowsiness index. However, it is not suitable for the in-vehicle system since it is measured with se...

Driving with drowsiness is one of the main causes of traffic accidents. Driver fatigue is a significant factor in a large number of vehicle accidents. The development of technologies for detecting or preventing drowsiness at the wheel is a major challenge in the field of accident avoidance systems. Due to the hazard that drowsiness presents on the road, methods need to be developed for countera...

background : major injuries and death in accidents have roots in drowsiness. sleepiness is a main result of insufficient sleep. it is vital to explore drowsiness and its level. there are various sorts of methods in the forms of subjective and objective approaches. the goal of this study was to detect the association of subjective and interpretive drowsiness with facial dynamic changes. methods:...

OBJECTIVES Drowsy driving is a serious highway safety problem. If drivers could be warned before they became too drowsy to drive safely, some drowsiness-related crashes could be prevented. The presentation of timely warnings, however, depends on reliable detection. To date, the effectiveness of drowsiness detection methods has been limited by their failure to consider individual differences. Th...