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...

Nowadays, driving support systems, such as car navigation systems, are getting common, and they support drivers in several aspects. It is important for driving support systems to detect status of driver's consciousness. Particularly, detecting driver's drowsiness could prevent drivers from collisions caused by drowsy driving. In this paper, we discuss the various artificial detection methods fo...

Nowadays, driving support systems, such as car navigation systems, are getting common, and they support drivers in several aspects. It is important for driving support systems to detect status of driver's consciousness. Particularly, detecting driver's drowsiness could prevent drivers from collisions caused by drowsy driving. In this paper, we discuss the various artificial detection methods fo...

Objective: The aim of this work is to develop a new index to assess the alertness state of drivers based on the respiratory dynamics derived from an inductive band. Background: Detection of drowsiness while driving is a leading objective in advanced driver assistance systems. A biomedical variable like thoracic effort, which is related to autonomic nervous system, provides direct information of...

The proposed system aims to enhance transportation safety by reducing the number of accidents caused driver fatigue and drowsiness, which have become increasingly common. analyzes facial bodily gestures such as eye tiredness yawning identify signs drowsiness fatigue. Eye aspect ratio (EAR) is used detect measuring distances between horizontal vertical landmarks. Yawn detection performed calcula...

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...