This dataset contains EEG, eye-tracking, and simulated driving performance data collected during the BCIT Mind Wandering study, in which subjects performed a prolonged simulated driving task under varying background audio conditions (task-relevant, non-task-relevant, and internal focus) while responding to periodic lateral perturbations and a vigilance task requiring detection of police vehicles. The study aimed to identify EEG-based biomarkers of driver fatigue and mind wandering by comparing extended time-on-task driving performance to a non-fatigued calibration session. Data were collected at Teledyne Laboratories under a US Army Research Laboratory contract as part of a broader effort to develop predictive fatigue algorithms from neural and behavioral signals.
- Participants
- 21
- Channels
- 64 (10-10)
- Citations
- 32
- HED
- v8.0.0
- Size
- 23.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026