Many studies have reported method to detect car driver drowsiness by heartbeat interval signals, but it is hard record stable signals while driving in a way that does not burden the drivers. We examined whether driver’s can be detected from respiration signal. In 9 healthy subjects (seven males and two females; age, 45 ± y), respiration, electrocardiogram, acceleration were recoded for total of...

The drowsiness of the driver and rash driving are major causes road accidents, which result in loss valuable life, deteriorate safety traffic. Reliable precise systems required to prevent accidents improve traffic safety. Various detection have been designed with different technologies an affinity towards unique parameter detecting driver. This paper proposes a novel model multi-level distribut...

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...

Frequent accidents are commonly hitting the headlines nowadays due to the moment that the driver is careless. Mostly the accidents are common during night time due to the drowsiness of the driver. Adopting this as a major issue the evaluation of Brain Computer Interface technology leads to develop a drowsiness detecting system based on EEG signals. The main objective of this project is to devel...

The large number of automobile accidents due to driver drowsiness is a critical concern of many countries. To solve this problem, numerous methods of countermeasure have been proposed. However, the results were unsatisfactory due to inadequate accuracy of drowsiness detection. In this study, we introduce a new approach, a combination of EEG and NIRS, to detect driver drowsiness. EEG, EOG, ECG a...

FOREWORD The purpose of this report is to document the results of a study undertaken to characterize episodes of driver fatigue and drowsiness and to assess the impact of driver fatigue on driving performance. This data mining effort performed additional analyses on the data collected in an earlier Federal Motor Carrier Safety Administration (FMCSA) study of the effects of fatigue on drivers in...

Driver fatigue and lack of sleep of drivers especially those who drive for a longer period of time as train accidents are a longer standing problem. It has been observed that each year numerous train accidents and fatalities may occur around the world due to driver falling asleep while driving the train. There are various traditional methods that may facilitate to detect drowsiness state of the...

Unfit drivers are the cause of tens of thousands of incidents on the roadswhich lead to injuries anddeaths. Therefore, it is very important to take preventive measures against such incidents. One of the unfit driving conditions is driving while being drowsy. Using image processing techniques, drowsiness of the driver could be detected and hence such incidents could be prevented. In this work, i...

Drowsiness is the state where a person is almost asleep or very lightly asleep. It refers to an inability to keep awake. In this thesis drowsiness and sleepiness are considered synonymous, but the term drowsiness will be used. Another concept commonly used is fatigue, which is an extreme tiredness that comes from physical or mental activity. Drowsiness can also be described by the grade of wake...