Driving support systems, such as car navigation systems are becoming common and they support driver in several aspects. Non-intrusive method of detecting Fatigue and drowsiness based on eye-blink count and eye directed instruction controlhelps the driver to prevent from collision caused by drowsy driving. Eye detection and tracking under various conditions such as illumination, background, face...

Drivers' sleepiness and falling asleep while driving account for a considerable proportion of vehicle accidents (studies show different results from 1% to 30%). Sleepiness is rarely well recognised as a causing factor of traffic accidents. 2.5% up to 20% people suffer from excessive daytime sleepiness (EDS) with sleep deprivation as its most frequent cause. There is a strong association between...

Driving while drowsy is one of the significant causes road accidents, and detection drowsiness drivers necessary to minimize such accidents. There are many methods proposed for detection. In this paper, we present details a system using deep learning techniques with ECG as its input. Continuous wavelet transforms (CWT) applied on input signal, segmented 1-minute duration, then it converted into...

Detection of a drowsy driver is an important aspect driving safety. For this reason, it necessary to have technology carry out early detection before fatigue occurs. Mainly focused on that occurs at night. Analysis can be done quickly and accurately. These conditions sent via data so they monitored analyzed in real time. The results the analysis by communication internet network. In addition, f...

traffic fatalities are a major cause of morbidity and mortality in iran. occupational sleep medicine field needs more cost-effective and applicable tests for screening purposes. this study reports on a pilot screening study for drowsy drivers in an urban iranian sample of commercial drivers. the maintenance of wakefulness test (mwt) measures the ability to remain awake objectively. sleep latenc...

This Project focuses mainly on road accidents occurring due to poor indication of sign boards, drowsy state and drunken state of drivers in both two wheelers and four wheelers. The eye blink sensor detects the drowsy state and alarms the driver using buzzer .The alcohol sensor detects the alcohol from breath and stops the engine by micro controller immediately .The light sensor detects the inte...

Leakage power in data cache memories represents a sizable fraction of total power consumption, and many techniques have been proposed to reduce it. Previous techniques put unused lines for example to drowsy state or switch them off completely (cache decay) in order to save power. Our idea is to adaptively select mostly used cache lines. We found that this can be achieved automatically by using ...

As field of signal processing is widening in various security and surveillance applications, motivated the interest for implementing better application with less complications. A non-intrusive machine vision based concepts is used to simulate Drowsiness Detection System. The system is consisting of web camera which placed in a way that it records driver’s head movements in order to detect drows...

The relation between serum osmolality, glucose, sodium, bicarbonate, arterial pH, BUN and level of consciousness was studied in 189 patients with diabetic ketoacidosis (DKA). There was much overlap between all laboratory values among various groups, even when there was a statistically significant difference. To find a better predictor, we defined a new factor as serum osmolality/arterial pH...