Research on a Real-Time Driver Fatigue Detection Algorithm Based on Facial Video Sequences

Applied Sciences, Год журнала: 2022, Номер 12(4), С. 2224 - 2224

Опубликована: Фев. 21, 2022

The research on driver fatigue detection is of great significance to improve driving safety. This paper proposes a real-time comprehensive algorithm based facial landmarks the accuracy, which detects driver’s status by using video sequences without equipping their bodies with other intelligent devices. A tasks-constrained deep convolutional network constructed detect face region 68 key points, can solve optimization problem caused different convergence speeds each task. According images, eye feature aspect ratio (EAR), mouth (MAR) and percentage closure time (PERCLOS) are calculated landmarks. assessment model established assess drivers through eye/mouth selection. After series comparative experiments, results show that this proposed achieves good performance in both accuracy speed for detection.

Язык: Английский

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Assessing illumination fatigue in tunnel workers through eye-tracking technology: A laboratory study

Advanced Engineering Informatics, Год журнала: 2024, Номер 59, С. 102335 - 102335

Опубликована: Янв. 1, 2024

Язык: Английский

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In-Vehicle Sensing for Smart Cars

IEEE Open Journal of Vehicular Technology, Год журнала: 2022, Номер 3, С. 221 - 242

Опубликована: Янв. 1, 2022

Driving safety has been attracting more and interest due to the unprecedented proliferation of vehicles subsequent increase traffic accidents. As such research community actively seeking for solutions that can make intelligent thus improve driving in everyday life. Among all existing approaches, in-vehicle sensing become a great preference by monitoring drivers health, emotion, attention, etc., which offer rich information advanced assistant systems (ADAS) respond accordingly reduce injuries as much/early possible. There have many significant developments past few years on sensing. The goal this paper is provide comprehensive review motivation, applications, state-of-the-art developments, possible future interests area. According application scenarios, we group works into five categories, including occupancy detection, fatigue distraction/inattention driver authentication, vital sign monitoring, fundamental techniques adopted, present their limitations further improvement. Finally, discuss several trends enhancing current capabilities enabling new opportunities

Язык: Английский

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How does driver fatigue monitor system design affect carsharing drivers? An approach to the quantification of driver mental stress and visual attention

Travel Behaviour and Society, Год журнала: 2024, Номер 35, С. 100755 - 100755

Опубликована: Фев. 7, 2024

Язык: Английский

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A Study of the Effects of Different Indoor Lighting Environments on Computer Work Fatigue

International Journal of Environmental Research and Public Health, Год журнала: 2022, Номер 19(11), С. 6866 - 6866

Опубликована: Июнь 3, 2022

The indoor lighting environment is a key factor affecting human health and safety. In particular, people have been forced to study or work more for long periods of time at home due the COVID-19 pandemic. this study, we investigate influence physical environmental factors, correlated color temperature (CCT), illumination on computer fatigue. We conducted within-subject experiment consisting 10 min-long task test under two different settings (300 lx 500 lx) CCTs (3000 K 4000 K). Physiological signals, such as electroencephalogram (EEG), electrocardiograph (ECG), eye movement, were monitored during objectively measure subjective fatigue eight participants was evaluated based questionnaire after completing test. error rate taken representing working performance. Through analysis objective results, found be significantly impacted by changes in environment, where negatively with CCT. Improving CCT within scope helped decrease degree—that is, degree lowest + while it relatively high 3000 300 lx. Under conditions, greatest effect fatigue, followed illumination. presented results are expected valuable reference improving satisfaction associated serve guidance researchers reviewers conducting similar research.

Язык: Английский

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The impact of non-driving related tasks on the development of driver sleepiness and takeover performances in prolonged automated driving

Journal of Safety Research, Год журнала: 2023, Номер 86, С. 148 - 163

Опубликована: Май 22, 2023

Язык: Английский

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Exploring the occupational fatigue risk of short-haul truck drivers: Effects of sleep pattern, driving task, and time-on-task on driving behavior and eye-motion metrics

Transportation Research Part F Traffic Psychology and Behaviour, Год журнала: 2023, Номер 100, С. 37 - 56

Опубликована: Ноя. 18, 2023

Язык: Английский

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The Application of Electroencephalogram in Driving Safety: Current Status and Future Prospects

Frontiers in Psychology, Год журнала: 2022, Номер 13

Опубликована: Июль 22, 2022

The driver is one of the most important factors in safety transportation system. driver’s perceptual characteristics are closely related to driving behavior, while electroencephalogram (EEG) as gold standard for evaluating human perception non-deceptive. It essential study by analyzing brain activity pattern, effectively acquiring characteristics, creating a direct connection between and external devices, realizing information interchange. This paper first introduces theories EEG, then reviews applications EEG scenarios such fatigue driving, distracted emotional driving. limitations existing research have been identified prospect application future brain-computer interface automotive assisted systems proposed. review provides guidance researchers use improve safety. also offers valuable suggestions research.

Язык: Английский

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Driving style identification and its association with risky driving behaviors among truck drivers based on GPS, load condition, and in-vehicle monitoring data

Journal of Transportation Safety & Security, Год журнала: 2023, Номер 16(5), С. 507 - 541

Опубликована: Июль 17, 2023

This study provides an approach to identify driving style of truck drivers by using GPS, load condition, and in-vehicle monitoring data investigates the association styles with risky behaviors from macro micro perspectives. The naturalistic used in this were collected 4,357 trucks Hangzhou, China over three months 2021. Six volatility parameters six warning characterize styles. Then, under two conditions identified k-means clustering methods principal component analysis. Finally, one-way MANOVA ANOVA analyze relationship between risk. It was found that have different thresholds for aggressive cautious conditions. Truck who exhibited both high Although most safe or normal conditions, few contribute a disproportionate These results can help distinguish differences drivers' thus providing more comprehensive safety assessment performance purposes.

Язык: Английский

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Physiological and Behavioral Changes of Passive Fatigue on Drivers during On-Road Driving

Applied Sciences, Год журнала: 2023, Номер 13(2), С. 1200 - 1200

Опубликована: Янв. 16, 2023

Driver fatigue can be further categorized into passive and active based on the task-induced perspective, with its categorization necessary from a theoretical basis practical needs. Passive is caused by mental underload inactive task engagement, which considered more hazardous. To facilitate construction of driver monitoring system (DMS), current study aims to investigate physiological behavioral changes fatigue. A total thirty-six participants completed 90 min driving monotonous highway, during subjective level, eye tracking indicators, dynamics were recorded using Stanford Sleepiness Scale, Smart Eye Pro, CAN Bus system. Results showed that drivers reported higher levels as duration increased. An increase in pupil diameters gaze dispersions observed task. Drivers gradually reduced control vehicle, faster speed lower compliance witnessed. In addition, compensatory process was found tended their standards maintain lateral position but recovered when they lost car speed. The emphasizes importance investigating independently, unique accompanied should designing systems.

Язык: Английский

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