introduction : in any car accident four factors may be involved: human factor, road, vehicle and environment. about 90 to 95 percent of car accidents in iran are caused by human factor which could be pointed out as driving errors, traffic misconception, tiredness, drowsiness, drug and alcohol consumption driving in dark hours (late night, early morning, and after lunch), youngsters' drivin...

The aim of this study was to explore the effectiveness of behavioral evaluation measures for predicting drivers’ subjective drowsiness. Behavioral measures included neck bending angle, back pressure, foot pressure, COP (center of pressure) movement on sitting surface and tracking error in driving simulator task. Drowsy states were predicted by means of the multinomial logistic regression model ...

For real-world driver drowsiness detection from videos, the variation of head pose is so large that the existing methods on global face is not capable of extracting effective features, such as looking aside and lowering head. Temporal dependencies with variable length are also rarely considered by the previous approaches, e.g., yawning and speaking. In this paper, we propose a Longterm Multi-gr...

Driving safety has become a global topic of discussion with the recent development of the Smart Car concept. Many of the current car safety monitoring systems are based on image discrimination techniques, such as sensing the vehicle drifting from the main road, or changes in the driver's facial expressions. However, these techniques are either too simplistic or have a low success rate as image ...

Abstract There has been an alarming increase in the number of accidents that occur due to drowsiness while driving. In order reduce roadside accidents, detection driver fatigue or is crucial. Detecting during driving crucial for reducing as well improving safety both and passengers. Various methods can be used detect among drivers, but fuzzy logic-based stands out its ability avoid false alarms...

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 ...

The detection of drowsiness while driving plays a vital role in ensuring road safety. Existing methods need to reduce external interference and sensor intrusiveness, their algorithms must be modified improve accuracy, stability, timeliness. In order realize fast accurate using physiological data that can collected non-intrusively, hybrid model with principal component analysis artificial neural...

The risks involved in nighttime driving include drowsy drivers and dangerous vehicles. Prominent among the more dangerous vehicles around at night are the larger vehicles which are usually moving faster at night on a highway. In addition, the risk level of driving around larger vehicles rises significantly when the driver's attention becomes distracted, even for a short period of time. For the ...