Drivers’ misjudgement of vigilance state during prolonged monotonous daytime driving

Schmidt, Eberhard; Schrauf, Michael; Simon, Michael; Fritzsche, Martin; Buchner, Axel; Kincses, Wilhelm E.

doi:10.1016/j.aap.2009.06.007

Cited by 194 publications

(119 citation statements)

References 30 publications

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“…The ride usually took about 3.5 h and was performed during daytime between 1 p.m. and 5 p.m. While driving, the subjects performed an auditory oddball reaction time task, which is described elsewhere (Schmidt et al, 2009). Altogether, 10 out of 55 participants (6 male, 4 female; age: M = 27.5; range: 24-36) aborted their drive due to severe fatigue (average driving time: 2:23 h, SD: 0:38 h, range: 0:56 -3:15 h), which provides the most objective fatigue criterion available.…”

Section: Methodsmentioning

confidence: 99%

“…Furthermore, subjective measures embrace an irresolvable trade-off between retrieval frequency and interference with the fatigue process under observation. Additionally, several on-road and simulator studies have shown that fatigue self assessment might be inaccurate in certain situations (Belz et al, 2004;Moller et al, 2006;Schmidt et al, 2009). Alternatively, secondary task performance measures have been proposed to assess fatigue.…”

Section: Introductionmentioning

confidence: 99%

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Assessing Drivers’ Fatigue State Under Real Traffic Conditions Using EEG Alpha Spindles

Schrauf

Simon

Schmidt

et al. 2011

Proceedings of the 6th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design : Dr

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Summary:The effectiveness of EEG alpha spindles, defined by short narrowband bursts in the alpha band, as an objective measure for assessing driver fatigue under real driving conditions was examined using an algorithm for the identification of alpha spindles. The method is applied to data recorded under real traffic conditions and compared with the performance of the traditional EEG fatigue measure alpha band power. Statistical analysis revealed significant increases from the first to the last driving section of alpha band power; with larger effect sizes for the alpha spindle based measures. An increased level of fatigue for drop-outs, as compared to participants who did not abort the drive, was observed only by means of alpha spindle parameters. EEG alpha spindle parameters increase both fatigue detection sensitivity and specificity as compared to EEG alpha band power. It is demonstrated that alpha spindles are superior to EEG band power measures for assessing driver fatigue under real traffic conditions.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessing Drivers’ Fatigue State Under Real Traffic Conditions Using EEG Alpha Spindles

Schrauf

Simon

Schmidt

et al. 2011

Proceedings of the 6th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design : Dr

Self Cite

View full text Add to dashboard Cite

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“…Of course, this would be impractical in real-life driving, and would call upon the intervention of the driver, which we wish to avoid. Moreover, one must keep in mind that self-reported LoDs are generally more accurately perceived at high levels than at medium levels [8,17].…”

Section: Motivation and Goalsmentioning

confidence: 99%

The ULg multimodality drowsiness database (called DROZY) and examples of use

Massoz

Langohr

François

et al. 2016

2016 IEEE Winter Conference on Applications of Computer Vision (WACV)

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Drowsiness is a major cause of accidents, in particular in road transportation. It is thus crucial to develop robust drowsiness monitoring systems. There is a widespread agreement that the best way to monitor drowsiness is by closely monitoring symptoms of drowsiness that are directly linked to the physiology of an operator such as a driver. The best systems are completely transparent to the operator until the moment he/she must react. In transportation, cameras placed in the passenger compartment and looking at least at the face of the driver are most likely the best way to sense physiology related symptoms such as facial expressions and the fine behavior of the eyeballs and eyelids. We present here the new database 1 called DROZY that provides multiple modalities of data to tackle the design of drowsiness monitoring systems and related experiments. We also present two novel systems developed using this database that can make predictions about the speed of reaction of an operator by using near-infrared intensity and range images of his/her face.

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“…Event-related potentials can also be successfully applied to several clinical applications (e.g. Polich and Corey-Bloom 2005), road traffic (Schmidt et al 2009) and occupational research (Gajewski et al 2010b;Wild-Wall et al 2009; Fig. 2).…”

Section: Measurement Of Cognitive Functions In Humansmentioning

confidence: 99%

Neurocognition of aging in working environments

Gajewski

Falkenstein

2011

ZAF

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Aging is accompanied by changes in sensory, motor and cognitive functions. Particularly, a high status of socalled fluid cognitive functions is crucial for the employability at an older age. This status, which can be assessed by psychometric and neuroimaging methods, depends on a number of factors like physical constitution, nutrition, education and work demands. This paper systematically analyses factors affecting cognitive functions in aging and reviews current neuroscientific findings regarding training induced neuronal plasticity and compensation of cognitive declines in aging. In the second part the relationship between cognitive functions and the type of work will be discussed and the project PFIFF presented as an example for transfer of neuroscientific basic research to an applied context that aimed at ameliorating and evaluating age-and job-related cognitive deficits. The results of the first project period showed that cognitive decline, as revealed in behavior and brain wave data, may be accelerated by long-lasting unchallenging work and, hence, may occur already in middle age. In the second part of PFIFF a 3-month program consisting of a supervised cognitive training was implemented in a group of 120 assembly-line employees. Before and after the training

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Drivers’ misjudgement of vigilance state during prolonged monotonous daytime driving

Cited by 194 publications

References 30 publications

Assessing Drivers’ Fatigue State Under Real Traffic Conditions Using EEG Alpha Spindles

Assessing Drivers’ Fatigue State Under Real Traffic Conditions Using EEG Alpha Spindles

The ULg multimodality drowsiness database (called DROZY) and examples of use

Neurocognition of aging in working environments

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