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   Articles with "drowsiness" as a keyword



Detection of driver drowsiness using wearable devices: A feasibility study of the proximity sensor.

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recommendations! Published in 2017 at "Applied ergonomics"

DOI: 10.1016/j.apergo.2017.02.016

Abstract: BACKGROUND Drowsiness is one of the major factors that cause crashes in the transportation industry. Drowsiness detection systems can alert drowsy operators and potentially reduce the risk of crashes. In this study, a Google-Glass-based drowsiness… read more here.

Keywords: drowsiness; detection; eye; proximity sensor ... See more keywords

Drowsiness monitoring based on steering wheel status

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recommendations! Published in 2019 at "Transportation Research Part D: Transport and Environment"

DOI: 10.1016/j.trd.2018.07.007

Abstract: Abstract Drowsy driving is one of the main causes of road traffic accidents. It is of great significance to study the use of steering wheel status to detect the drowsiness of the driver. In the… read more here.

Keywords: steering wheel; model; wheel; wheel status ... See more keywords

Wireless ear EEG to monitor drowsiness

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recommendations! Published in 2024 at "Nature Communications"

DOI: 10.1038/s41467-024-48682-7

Abstract: Neural wearables can enable life-saving drowsiness and health monitoring for pilots and drivers. While existing in-cabin sensors may provide alerts, wearables can enable monitoring across more environments. Current neural wearables are promising but most require… read more here.

Keywords: wireless ear; wearables enable; drowsiness; neural wearables ... See more keywords

Early Identification and Detection of Driver Drowsiness by Hybrid Machine Learning

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recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3131601

Abstract: Drunkenness or exhaustion is a leading cause of car accidents, with severe implications for road safety. More fatal accidents could be avoided if fatigued drivers were warned ahead of time. Several drowsiness detection technologies to… read more here.

Keywords: early identification; drowsiness; detection; machine learning ... See more keywords

Sensitivity of PERCLOS70 to Drowsiness Level: Effectiveness of PERCLOS70 to Prevent Crashes Caused by Drowsiness

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3187995

Abstract: It has been reported that many crashes are caused by drowsiness. Thus, it is critical to predict the occurrence of severe drowsiness that may result in a crash by means of an effective measure. The… read more here.

Keywords: caused drowsiness; perclos70; crashes caused; drowsiness ... See more keywords

A Systematic Review on Driver Drowsiness Detection Using Eye Activity Measures

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3424654

Abstract: Driver drowsiness is a major contributor to road traffic accidents. A system capable of detecting drowsiness and consequently warning drivers at an early stage could significantly reduce the number of drowsiness-related road accidents. Although different… read more here.

Keywords: eye activity; activity measures; driver drowsiness; drowsiness ... See more keywords

Deep Learning-Based Drowsiness Detection System for Driver’s Safety

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3604728

Abstract: Driver drowsiness is a leading contributor to road accidents, accounting for over 100,000 crashes and approximately ~1000 fatalities each year in the United States alone, as per National Safety Council (NSC). To mitigate this urgent… read more here.

Keywords: system; driver; drowsiness; safety ... See more keywords

How to Induce Drowsiness When Testing Driver Drowsiness and Attention Warning (DDAW) Systems

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recommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2023.3249755

Abstract: Driver drowsiness and attention warning systems are mandatory for new vehicles in the EU by 2022. Requirements for the test procedure for type approval are laid down in the Annex of EU regulation C/2021/2639. The… read more here.

Keywords: drowsiness attention; driver drowsiness; attention warning; drowsiness ... See more keywords

Driver State Classification: Identifying High Cognitive Load and Drowsiness Through Driver Performance and Physiology

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recommendations! Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2025.3633499

Abstract: This study investigates the effect of high cognitive load and drowsiness on driving performance (speed, lane position, steering wheel movement) and driver physiology (cardiac activity, skin conductance) and uses these measures in classifying high cognitive… read more here.

Keywords: cognitive load; high cognitive; physiology; driver ... See more keywords

Bayesian Nonnegative CP Decomposition-Based Feature Extraction Algorithm for Drowsiness Detection

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recommendations! Published in 2017 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"

DOI: 10.1109/tnsre.2016.2618902

Abstract: Daytime short nap involves physiological processes, such as alertness, drowsiness and sleep. The study of the relationship between drowsiness and nap based on physiological signals is a great way to have a better understanding of… read more here.

Keywords: drowsiness; bayesian nonnegative; feature extraction; nonnegative decomposition ... See more keywords

1256 A pilot study to identify the factors favouringhypovigilance by drowsiness measured by a non-invasive monitoring device under real conditions

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recommendations! Published in 2018 at "Occupational and Environmental Medicine"

DOI: 10.1136/oemed-2018-icohabstracts.68

Abstract: Introduction Every year, more than one million people die on the road worldwide, 20% of these deadly accidents being caused by hypovigilance due to drowsiness. Methods Our study tested the feasibility of monitoring the level… read more here.

Keywords: monitoring device; study; level; drowsiness ... See more keywords