In the month of August, 1893, f?ur brothers were admitted into the Bristol Royal Infirmary suffering from more or less continued fevers of obscure nature, though probably of common origin. The clinical histories of the patients will first be given, and subsequently the etiology of the observed conditions discussed. went home well on October 10th. His mother said he was in good health until five...

The estimates of the contribution of drowsiness and fatigue to the number of road crashes is often neglected considerably, due both to under-reporting of these factors by drivers, and technical difficulty in investigating the problem. Preventing and treating the reasons for falling asleep behind the wheel may have considerable contribution in traffic safety. Therefore the licensing authorities ...

The effects of different EEG brain states on spontaneous firing of cortical populations are not well understood. Such state shifts may occur frequently under natural conditions, and baseline firing patterns can impact neural coding (e.g., signal-to-noise ratios, sparseness of coding). Here, we examine the effects of spontaneous transitions from alert to nonalert awake EEG states in the rabbit v...

Power reduction is one of the biggest challenges in CMOS integrated circuit design. Optimization of power is inevitable in order to reduce package cost and extended battery life. As a switch tri-modal MTCMOS (Multi Threshold CMOS switch) can be considered as a low power solution for data retentive power gating applications. In MTCMOS, transistors with multiple threshold voltages are used in ord...

Statistics have shown that 20% of all road accidents are fatigue-related, and drowsy detection is a car safety algorithm that can alert a snoozing driver in hopes of preventing an accident. This paper proposes a deep architecture referred to as deep drowsiness detection (DDD) network for learning effective features and detecting drowsiness given a RGB input video of a driver. The DDD network co...

Drowsiness in drivers is the major cause for these fatal road accidents. Hence detecting drowsiness and alerting them on time very important to avoid Researchers have developed several techniques detect driver warn driver. However, past there no work done towards end-to-end system. Therefore, this proposed system, it will ensure that awake through its multi-stage (i.e., three stage) The at firs...