ArticleScientific data2019
Multi-channel EEG recordings during a sustained-attention driving task.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
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Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Neuroimaging Insights into the Public Health Burden of Neuropsychiatric Disorders: A Systematic Review of Electroencephalography-Based Cognitive Biomarkers.Medicina (Kaunas, Lithuania) · 2025Pooled it
- SE-Driven Dynamic Convolution for Adaptive EEG-Based Driver Fatigue Detection Across Spectral, Spatial, and Temporal Domains.Sensors (Basel, Switzerland) · 2026Article
- An EEG dataset for understanding driving expertise from naturalistic urban road experiments.Scientific data · 2026Article
- [A novel mental fatigue detecting method based on single-channel electroencephalogram using hybrid convolutional neural network combined with Transformer].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026Article
- Multimodal Phenotyping Dataset of Driving Fatigue.Scientific data · 2026Article
- Impact of fatigue levels on EEG-based personal recognition.Medical & biological engineering & computing · 2026Article
- EED-CL: Extended EEG Deformer with Contrastive Learning for Robust Emotion Recognition.Bioengineering (Basel, Switzerland) · 2025Article
- A Multidimensional Benchmark of Public EEG Datasets for Driver State Monitoring in Brain-Computer Interfaces.Sensors (Basel, Switzerland) · 2025Review
- Efficacy of Fragrance Types and Intervention Methods in Reducing Driver Fatigue and Modulating Emotional Development Assessed by HRV and Subjective Indicators.Sensors (Basel, Switzerland) · 2025Article
- An improved feature extraction algorithm for EEG-based driving fatigue recognition.Scientific reports · 2025Article
- Graph convolution network-based eeg signal analysis: a review.Medical & biological engineering & computing · 2025Review
- Brain activity patterns reflecting security perceptions of female cyclists in virtual reality experiments.Scientific reports · 2025Article
- An improved CapsNet based on data augmentation for driver vigilance estimation with forehead single-channel EEG.Cognitive neurodynamics · 2024Article
- Attention-based cross-frequency graph convolutional network for driver fatigue estimation.Cognitive neurodynamics · 2024Article
- A novel deep-learning model based on τ-shaped convolutional network (τNet) with long short-term memory (LSTM) for physiological fatigue detection from EEG and EOG signals.Medical & biological engineering & computing · 2024Article
- Pulse Compression Shape-Based ADC/DAC Chain Synchronization Measurement Algorithm with Sub-Sampling Resolution.Sensors (Basel, Switzerland) · 2024Article
- An EEG Dataset of Neural Signatures in a Competitive Two-Player Game Encouraging Deceptive Behavior.Scientific data · 2024Article
- A multimodal physiological dataset for driving behaviour analysis.Scientific data · 2024Article
- An Effective Hybrid Deep Learning Model for Single-Channel EEG-Based Subject-Independent Drowsiness Recognition.Brain topography · 2024Article
- ID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network.Frontiers in neuroscience · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We describe driver behaviour and brain dynamics acquired from a 90-minute sustained-attention task in an immersive driving simulator. The data included 62 sessions of 32-channel electroencephalography (EEG) data for 27 subjects driving on a four-lane highway who were instructed to keep the car cruising in the centre of the lane. Lane-departure events were randomly induced to cause the car to drift from the original cruising lane towards the left or right lane. A complete trial included events with deviation onset, response onset, and response offset. The next trial, in which the subject was instructed to drive back to the original cruising lane, began 5-10 seconds after finishing the previous trial. We believe that this dataset will lead to the development of novel neural processing methodology that can be used to index brain cortical dynamics and detect driving fatigue and drowsiness. This publicly available dataset will be beneficial to the neuroscience and brain-computer interface communities.
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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.