ArticleFrontiers in human neuroscience2022
EEG-Based Index for Timely Detecting User's Drowsiness Occurrence in Automotive Applications.
Article in Frontiers in human neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 32 citations in OpenAlex.
- Editorial: Passive brain-computer interfaces: moving from lab to real-world application.Frontiers in computational neuroscience · 2026Article
- A novel approach for the EEG-driven assessment of divided attention through mutual information theory: A case study at the wheel.PloS one · 2026Article
- Multi-method characterization of neurophysiological and biological stress responses in surgical teams during real surgical procedures.Frontiers in neuroergonomics · 2026Article
- Beyond the lab: real-world benchmarking of wearable EEGs for passive brain-computer interfaces.Brain informatics · 2025Article
- Neurophysiological Markers of Cognitive Failures in Drivers: An Electroencephalography Study.Basic and clinical neuroscience · 2025Article
- Analysis of Neurophysiological Correlates of Mental Fatigue in Both Monotonous and Demanding Driving Conditions.Brain sciences · 2025Article
- A Multimodal Neurophysiological Approach to Evaluate Educational Contents in Terms of Cognitive Processes and Engagement.Bioengineering (Basel, Switzerland) · 2025Article
- Mutual information-based teamwork evaluation in real-world environments: an exploratory investigation with professional surgeons.Frontiers in network physiology · 2025Article
- Beyond the time-on-task: an EEG-driven approach for effective physiological assessment of mental fatigue in simulated and real driving.Frontiers in bioengineering and biotechnology · 2025Article
- Driving Fatigue Onset and Visual Attention: An Electroencephalography-Driven Analysis of Ocular Behavior in a Driving Simulation Task.Behavioral sciences (Basel, Switzerland) · 2024Article
- Optimizing EEG Signal Integrity: A Comprehensive Guide to Ocular Artifact Correction.Bioengineering (Basel, Switzerland) · 2024Article
- A Novel EEG-Based Assessment of Distraction in Simulated Driving under Different Road and Traffic Conditions.Brain sciences · 2024Article
- Modulating Driver Alertness via Ambient Olfactory Stimulation: A Wearable Electroencephalography Study.Sensors (Basel, Switzerland) · 2024Article
- ID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network.Frontiers in neuroscience · 2024Article
- Cooperation objective evaluation in aviation: validation and comparison of two novel approaches in simulated environment.Frontiers in neuroinformatics · 2024Article
- A Neuroergonomic Approach Fostered by Wearable EEG for the Multimodal Assessment of Drivers Trainees.Sensors (Basel, Switzerland) · 2023Article
- Neurophysiological Assessment of An Innovative Maritime Safety System in Terms of Ship Operators' Mental Workload, Stress, and Attention in the Full Mission Bridge Simulator.Brain sciences · 2023Article
- Effects of spaceflight on the EEG alpha power and functional connectivity.Scientific reports · 2023Article
- Neurophysiological Evaluation of Students' Experience during Remote and Face-to-Face Lessons: A Case Study at Driving School.Brain sciences · 2023Article
- Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving.Frontiers in neurorobotics · 2023Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human errors are widely considered among the major causes of road accidents. Furthermore, it is estimated that more than 90% of vehicle crashes causing fatal and permanent injuries are directly related to mental tiredness, fatigue, and drowsiness of the drivers. In particular, driving drowsiness is recognized as a crucial aspect in the context of road safety, since drowsy drivers can suddenly lose control of the car. Moreover, the driving drowsiness episodes mostly appear suddenly without any prior behavioral evidence. The present study aimed at characterizing the onset of drowsiness in car drivers by means of a multimodal neurophysiological approach to develop a synthetic electroencephalographic (EEG)-based index, able to detect drowsy events. The study involved 19 participants in a simulated scenario structured in a sequence of driving tasks under different situations and traffic conditions. The experimental conditions were designed to induce prominent mental drowsiness in the final part. The EEG-based index, so-called
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.