Literature DB >> 10196596

Preventing drowsiness accidents by an alertness maintenance device.

W B Verwey1, D M Zaidel.   

Abstract

The reported experiment investigated in an advanced driving simulator whether drivers' alertness can be maintained in drowsiness-inducing conditions by a special game-like system, a 'gamebox'. Drowsiness was assessed by self-rating and eye-closures. Mental effort was assessed by a subjective workload rating scale and by a physiological measure (the 0.1 Hz component of heart rate). Driving quality and safety were assessed by steering movements, time-to-line crossings, and by the occurrence of safety-related driving errors--solid line crossings, driving off-road incidents and accidents. When driving with the gamebox, drivers reported a lower degree of drowsiness and fewer instances of sleep episodes as compared to a control condition. Driving with the device resulted in fewer incidents and accidents, and these occurred later in the session. The quality of vehicle control deteriorated progressively over the course of the session, but less so in the gamebox condition. Hence, the results corroborate the notion that mental activity counteracts drowsiness in prolonged driving.

Entities:  

Mesh:

Year:  1999        PMID: 10196596     DOI: 10.1016/s0001-4575(98)00062-1

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  7 in total

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Review 2.  A systematic review of the effect of various interventions on reducing fatigue and sleepiness while driving.

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Review 3.  A Neuroergonomics Approach to Mental Workload, Engagement and Human Performance.

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4.  Real-Time ECG-Based Detection of Fatigue Driving Using Sample Entropy.

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5.  Study of driving skill level discrimination based on human physiological signal characteristics.

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6.  Effects of a Motion Seat System on Driver's Passive Task-Related Fatigue: An On-Road Driving Study.

Authors:  Seunghoon Lee; Minjae Kim; Hayoung Jung; Dohoon Kwon; Sunwoo Choi; Heecheon You
Journal:  Sensors (Basel)       Date:  2020-05-08       Impact factor: 3.576

7.  Study on the Effect of Man-Machine Response Mode to Relieve Driving Fatigue Based on EEG and EOG.

Authors:  Fuwang Wang; Qing Xu; Rongrong Fu
Journal:  Sensors (Basel)       Date:  2019-11-08       Impact factor: 3.576

  7 in total

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