mlsanityData to 7 Oct 2026

Multi-channel EEG recordings during a sustained-attention driving task

arXiv 1809.06534 ↗First posted 18 Sep 2018eess.SP q-bio.NCcited by 32

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Abstract (arXiv)

We described driver behaviour and brain dynamics acquired from a 90-minute sustained-attention task in an immersive driving simulator. The data include 62 copies of 32 channel electroencephalography (EEG) data for 27 subjects that drove on a four lane highway and were asked to keep the car cruising in the centre of the lane. Lane departure events were randomly induced to make the car drift from the original cruising lane towards the left or right lane. A complete trial includes events with deviation onset, response onset, and response offset. The next trial, in which the subject has to drive back to the original cruising lane, occurs from 5 to 10 seconds after finishing the current trial. We hope that this dataset will lead to the development of novel neural processing assays that can be used to index brain cortical dynamics and detect driving fatigue and drowsiness. This publicly available dataset is beneficial to the neuroscientific and brain computer interface communities.

Key facts. Cited by 32 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Sep 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 8; 2022: 7; 2023: 3; 2024: 6; 2025: 5; 2026: 3.

32 papers.

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  1. 2021LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interfacecited by 36
  2. 2024EEG-Deformer: A Dense Convolutional Transformer for Brain-computer Interfacescited by 25
  3. 2021EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural Networkcited by 22
  4. 2021A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEGcited by 12
  5. 2023Interpretable and Robust AI in EEG Systems: A Surveycited by 10
  6. 2021IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removalcited by 9
  7. 2022Towards Best Practice of Interpreting Deep Learning Models for EEG-based Brain Computer Interfacescited by 7
  8. 2022A Decomposition-Based Hybrid Ensemble CNN Framework for Driver Fatigue Recognitioncited by 4
  9. 2022Domain Adaptation and Generalization on Functional Medical Images: A Systematic Surveycited by 4
  10. 2024A Survey on Drowsiness Detection -- Modern Applications and Methodscited by 4
  11. 2021TDQMF: Two-dimensional quantum mass functioncited by 3
  12. 2021Subject-Independent Drowsiness Recognition from Single-Channel EEG with an Interpretable CNN-LSTM modelcited by 3
20 more
  1. 2025SingLEM: Single-Channel Large EEG Modelcited by 3
  2. 2021A Fast Evidential Approach for Stock Forecastingcited by 2
  3. 2022Calibration-Free Driver Drowsiness Classification based on Manifold-Level Augmentationcited by 2
  4. 2026Neuro-Cognitive Reward Modeling for Human-Centered Autonomous Vehicle Controlcited by 2
  5. 2022Spatio-Temporal Analysis of Transformer based Architecture for Attention Estimation from EEGcited by 1
  6. 2023An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability Guidancecited by 1
  7. 2024Masked EEG Modeling for Driving Intention Predictioncited by 1
  8. 2021EEG-based Classification of Drivers Attention using Convolutional Neural Networkcited by 0
  9. 2022Where Is My Mind (looking at)? Predicting Visual Attention from Brain Activitycited by 0
  10. 2022EEG-Fest: Few-shot based Attention Network for Driver's Vigilance Estimation with EEG Signalscited by 0
  11. 2023Improving Generalization of Drowsiness State Classification by Domain-Specific Normalizationcited by 0
  12. 2024Classification of High-dimensional Time Series in Spectral Domain using Explainable Featurescited by 0
  13. 2024ART: Artifact Removal Transformer for Reconstructing Noise-Free Multichannel Electroencephalographic Signalscited by 0
  14. 2024Inter Observer Variability Assessment through Ordered Weighted Belief Divergence Measure in MAGDM Application to the Ensemble Classifier Feature Fusioncited by 0
  15. 2025Exact Fit Attention in Node-Holistic Graph Convolutional Network for Improved EEG-Based Driver Fatigue Detectioncited by 0
  16. 2025Robust Spectral Fuzzy Clustering of Multivariate Time Series with Applications to Electroencephalogramcited by 0
  17. 2025Calibration-Free EEG-based Driver Drowsiness Detection with Online Test-Time Adaptationcited by 0
  18. 2025Understanding Mental States in Active and Autonomous Driving with EEGcited by 0
  19. 2026Bidirectional Temporal Dynamics Modeling for EEG-based Driving Fatigue Recognitioncited by 0
  20. 2026NeurDuo-EEG: A Long-Sequence EEG Foundation Model with Persistent State and Explicit Memorycited by 0