ArticleHealthcare technology letters2018
Real-time eye tracking for the assessment of driver fatigue.
Article in Healthcare technology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed.
- LDIE-FDNet: Lightweight dynamic image enhancement-enabled real-time fatigue driving detection network.PloS one · 2026Article
- Eye Gaze Entropy Reflects Individual Experience in the Context of Driving.Entropy (Basel, Switzerland) · 2025Article
- Research on Driver Fatigue Detection in Real Driving Environments Based on Semi-Dry Electrodes with Automatic Conductive Fluid Replenishment.Sensors (Basel, Switzerland) · 2025Article
- The state of the art in assessing mental fatigue in the cockpit using head-worn sensing technology.Frontiers in neuroergonomics · 2025Review
- An Identification Method for Road Hypnosis Based on the Fusion of Human Life Parameters.Sensors (Basel, Switzerland) · 2024Article
- Intelligent Human Operator Mental Fatigue Assessment Method Based on Gaze Movement Monitoring.Sensors (Basel, Switzerland) · 2024Article
- Wearable Near-Eye Tracking Technologies for Health: A Review.Bioengineering (Basel, Switzerland) · 2024Review
- Frequency-encoded eye tracking smart contact lens for human-machine interaction.Nature communications · 2024Article
- Article
- NON-INTRUSIVE DROWSINESS DETECTION TECHNIQUES AND THEIR APPLICATION IN DETECTING EARLY DEMENTIA IN OLDER DRIVERS.Proceedings of the Future Technologies Conference (FTC) 2022. Volume 2. Future Technologies Conference (7th : 2022 : Vancouver, B.C.; Online) · 2023Article
- Assessment of Combination of Automated Pupillometry and Heart Rate Variability to Detect Driving Fatigue.Frontiers in public health · 2022Article
- Evaluation of a Fatigue Detector Using Eye Closure-Associated Indicators Acquired from Truck Drivers in a Simulator Study.Sensors (Basel, Switzerland) · 2021Article
- Usability and Effectiveness of Immersive Virtual Grocery Shopping for Assessing Cognitive Fatigue in Healthy Controls: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2021Article
- Content-Aware Eye Tracking for Autostereoscopic 3D Display.Sensors (Basel, Switzerland) · 2020Article
- Are Your Eyes "on the Road"? Findings from the 2019 National Study on Vision and Driving Safety in Spain.International journal of environmental research and public health · 2020Article
- Gaze and Eye Tracking: Techniques and Applications in ADAS.Sensors (Basel, Switzerland) · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Eye-tracking is an important approach to collect evidence regarding some participants' driving fatigue. In this contribution, the authors present a non-intrusive system for evaluating driver fatigue by tracking eye movement behaviours. A real-time eye-tracker was used to monitor participants' eye state for collecting eye-movement data. These data are useful to get insights into assessing participants' fatigue state during monotonous driving. Ten healthy subjects performed continuous simulated driving for 1-2 h with eye state monitoring on a driving simulator in this study, and these measured features of the fixation time and the pupil area were recorded via using eye movement tracking device. For achieving a good cost-performance ratio and fast computation time, the fuzzy
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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.