Quantitative Similarity between the Cognitive Psychomotor Performance Decrement Associated with Sustained Wakefulness and Alcohol Intoxication

Dawson, Drew; Lamond, Nichole; Donkin, K; Reid, Kathryn J.

doi:10.1016/b978-008043357-8/50013-3

Cited by 13 publications

(6 citation statements)

References 26 publications

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“…• Mathematical models of alertness dynamics joined with ambulatory technologies: These technologies use mathematical models to predict operator alertness and performance at different times based on interactions of sleep, Circadian, and related temporal antecedents of fatigue [12]- [14].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue

Ji¹,

Zhu²,

Lan³

2004

IEEE Trans. Veh. Technol.

613

340

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Abstract-This paper describes a real-time online prototype driver-fatigue monitor. It uses remotely located charge-coupled-device cameras equipped with active infrared illuminators to acquire video images of the driver. Various visual cues that typically characterize the level of alertness of a person are extracted in real time and systematically combined to infer the fatigue level of the driver. The visual cues employed characterize eyelid movement, gaze movement, head movement, and facial expression. A probabilistic model is developed to model human fatigue and to predict fatigue based on the visual cues obtained. The simultaneous use of multiple visual cues and their systematic combination yields a much more robust and accurate fatigue characterization than using a single visual cue. This system was validated under real-life fatigue conditions with human subjects of different ethnic backgrounds, genders, and ages; with/without glasses; and under different illumination conditions. It was found to be reasonably robust, reliable, and accurate in fatigue characterization.

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Section: Introductionmentioning

confidence: 99%

Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue

Ji¹,

Zhu²,

Lan³

2004

IEEE Trans. Veh. Technol.

613

340

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“…This is mainly due to the restriction and disruption associated with sleeping during the daytime, being awake during their normal sleep period, and working through the circadian nadir 2,3) . Research has found that the consequences of fatigue include the impairment of several cognitive and sensorimotor skills including hand-eye coordination, vigilance, decision-making, visual search, memory, and logical reasoning 1,4) . Furthermore, fatigue can have an adverse influence on affective states such as motivation and mood 5,6) .…”

Section: Introductionmentioning

confidence: 99%

The Impact of Sustained Wakefulness and Time-of-day on OSPAT Performance

et al. 2005

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Fatigue associated with shiftwork is a key contributor to human error in the workplace. One way to prevent fatigue-related errors from occurring is to identify fatigue in employees using fitness-for-duty measures. The Occupational Safety Performance Assessment Test (OSPAT), an unpredictable tracking task that measures hand-eye coordination, is currently being used as a fitnessfor-duty measure in a variety of industries, but has not yet been validated as a test sensitive to the effects of fatigue. Consequently, the aim of this study was to systematically examine the impact of sustained wakefulness and time-of-day on OSPAT performance. Twenty individuals (10 male, 10 female), aged between 18-25 yr (M=20.90, SD=2.29) participated in the study, which was conducted in Australia. The study had a repeated measures design, whereby participants completed the OSPAT and measures of sustained attention (i.e., the psychomotor vigilance task: PVT), and subjective alertness (i.e., the Visual Analog Scale: VAS) every 2 h during 24 h of sustained wakefulness, beginning at 07:00h. Results revealed that VAS ratings of alertness, PVT performance, and OSPAT performance declined significantly as hours of wakefulness increased during the night-time (all p<.01). Furthermore, a positive correlation between OSPAT and PVT performance was observed (r=0.40, p<.01). Overall, these findings suggest that OSPAT is sensitive to sustained wakefulness during the night-time, and builds the case for OSPAT being a suitable measure for determining fitness-for-duty in workplace environments.

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“…-technologies to assess the vigilance capacity of an operator before the work is performed ; -mathematical models of dynamics alertness (Å kerstedt and Folkard 1997;Dawson et al 1998); -vehicle-based performance technologies that detect the behavior of the driver by monitoring the transportation hardware systems, such as steering wheel movements, acceleration etc. (Artaud et al 1994;Mabbott et al 1999;Lavergne et al 1996;Vitabile et al 2007Vitabile et al , 2008; -real-time technologies for monitoring driver's status, including intrusive and non-intrusive monitoring systems.…”

Section: Related Workmentioning

confidence: 99%

A real-time non-intrusive FPGA-based drowsiness detection system

Vitabile

Paola

Sorbello

2011

J Ambient Intell Human Comput

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Automotive has gained several benefits from\ud the Ambient Intelligent researches involving the deployment of sensors and hardware devices into an intelligent environment surrounding people, meeting users’ requirements and anticipating their needs. One of the main topics in automotive is to anticipate driver needs and safety, in terms of preventing critical and dangerous events. Considering the high number of caused accidents, one of the most relevant dangerous events affecting driver and passengers safety is driver’s drowsiness and hypovigilance.\ud This paper presents a low-intrusive, real-time driver’s drowsiness detection system for common vehicles. The proposed system exploits the ‘‘bright pupil’’ phenomenon generated by a 850 nm IR source light embedded on the car dashboard. This visual effect, due to the retina’s property\ud of reflecting the 90% of the incident light, makes easier the detection of driver’s eyes. At the same time, the ‘‘bright pupil’’ effect is used to quantify the driver’s drowsiness level as the percentage of time in which the driver’s eyes are closed more than 80%. The efficiency of the image processing chain, together with an embedded hardware device exploiting the availability of mature reconfigurable\ud hardware technology, such as Field Programmable Gate Array, allow to implement a real-time detection system able to process an entire 720 9 576 frame in 16.7 ms. The effectiveness of the proposed system has been successfully tested with a human subject operating in real conditions

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Quantitative Similarity between the Cognitive Psychomotor Performance Decrement Associated with Sustained Wakefulness and Alcohol Intoxication

Cited by 13 publications

References 26 publications

Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue

Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue

The Impact of Sustained Wakefulness and Time-of-day on OSPAT Performance

A real-time non-intrusive FPGA-based drowsiness detection system

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