96,426 research outputs found

    An Improved Fatigue Detection System Based on Behavioral Characteristics of Driver

    Full text link
    In recent years, road accidents have increased significantly. One of the major reasons for these accidents, as reported is driver fatigue. Due to continuous and longtime driving, the driver gets exhausted and drowsy which may lead to an accident. Therefore, there is a need for a system to measure the fatigue level of driver and alert him when he/she feels drowsy to avoid accidents. Thus, we propose a system which comprises of a camera installed on the car dashboard. The camera detect the driver's face and observe the alteration in its facial features and uses these features to observe the fatigue level. Facial features include eyes and mouth. Principle Component Analysis is thus implemented to reduce the features while minimizing the amount of information lost. The parameters thus obtained are processed through Support Vector Classifier for classifying the fatigue level. After that classifier output is sent to the alert unit.Comment: 4 pages, 2 figures, edited version of published paper in IEEE ICITE 201

    Managing driver fatigue: education or motivation?

    Get PDF
    Fatigue has been recognised as the primary contributing factor in approximately 15% of all fatal road crashes in Australia. To develop effective countermeasures for managing fatigue, this study investigates why drivers continue to drive when sleepy, and driver perceptions and behaviours in regards to countermeasures. Based on responses from 305 Australian drivers, it was identified that the major reasons why these participants continued to drive when sleepy were: wanting to get to their destination; being close to home; and time factors. Participants’ perceptions and use of 18 fatigue countermeasures were investigated. It was found that participants perceived the safest strategies, including stopping and sleeping, swapping drivers and stopping for a quick nap, to be the most effective countermeasures. However, it appeared that their knowledge of safe countermeasures did not translate into their use of these strategies. For example, although the drivers perceived stopping for a quick nap to be an effective countermeasure, they reported more frequent use of less safe methods such as stopping to eat or drink and winding down the window. This finding suggests that, while practitioners should continue educating drivers, they may need a greater focus on motivating drivers to implement safe fatigue countermeasures

    The Influence of Occupational Driver Stress on Work-related Road Safety: An Exploratory Review

    Get PDF
    Research has identified a number of stressors that could impact on the occupational driver by increasing stress levels and, for some individuals, causing adverse behaviour and effects, for example, aggressive behaviour, fatigue, inattention/distraction, and substance abuse. For safety professionals and employers, one way to reduce the effects of occupational driver stress is to change perceptions so that management and drivers recognise that work-related driving is as important as other work-related tasks. This article explores relevant literature in relation to driver stress and suggests additions to risk management processes and safety procedures/policies, including assigning sufficient basic resources to target occupational stress (particularly occupational driver stress)

    A Novel Approach for Eye Tracking using Driver Fatigue Monitoring

    Full text link
    System describes a real-time online trial product driver-fatigue monitor or driver tiredness is captured. It means to capture the current state or mode of tiredness of driver whether the driver is in sleeping state or in wakening state. It uses remotely located charge-coupled-device cameras able to with active infrared illumination to acquire video images of the driver. Various cues that typically stated the level of attentiveness of a person that how an person is attentive are removed or take out in real time and systematic combined to infer the tiredness level of the driver. The some cues employed stated eyelid movement, steady movement, head movement, and facial expression. This is developed to model human fatigue and to know about fatigue based on the visual cues obtained. The simultaneous use of multiple optical cues and their methodical combination yields a much more robust and accurate fatigue categorization than using a single visual cue. This system was valid as real-life fatigue conditions with human subjects of different cultural backgrounds, genders, and ages as with or without glasses, and under different illumination conditions. It was found to be sensibly robust, reliable, and accurate in fatigue categorization

    The effect of three low-cost engineering treatments on driver fatigue: A driving simulator study

    No full text
    Three engineering treatments were implemented in a driving simulator study to assess the effect of road-based measures on alleviating the symptoms of fatigue. Using results from previous research on the effect of circadian rhythms on fatigue-related crashes, two groups of male drivers were recruited for this study: young shift workers under the age of 35, who attended immediately after their night shift, and older drivers over the age of 45, who completed the study during the 'post lunch dip' period, after consuming lunch. Eye tracking (PERCLOS) and lateral driver performance measures were used to assess whether baseline measures of fatigue changed after drivers experienced each of the three treatments, which included variable message signs, chevrons and rumble strips. Results showed a marked difference in these measures between drivers' baseline (not fatigued) and experimental (fatigued) visits. There were also some reductions in lateral deviation and eye closure (as measured by PERCLOS) when the treatments were encountered, but no marked difference between the three treatments. These results suggest that in addition to driver- and vehicle-based methods currently employed to mitigate the effects of fatigue, the inclusion of such engineering measures may help alleviate fatigue-related impairments in driving, particularly if such treatments are implemented during long stretches of straight monotonous roads which are known to be associated with fatigue-related crashes. However, positive effects of the treatments were short lived, prompting the need for further investigations on their optimal frequency of presentation and combination to achieve maximum impact from these low-cost, road-based treatments

    A PERCLOS-based Driver Fatigue Detection based Driver Fatigue Detection

    Get PDF
    Drowsy driving is a major reason, though elusive, triggering traffic crashes according recently investigation result. Image processing is a kind of multi-dimension signal processing. With the development of semiconductor integrated circuit, image processing technology has been used in multifarious fields. In this paper, an approach based image processing, was proposed.to detect driver's status behind wheel. The target of the proposed approach is to avoid vehicle accident causing by driver fatigue and to improve vehicle safety. According the result of experimental work, the proposed approach is effective for increasing safe in driv
    • …
    corecore