BCIT Auditory Cueing
…driver fatigue via predictive algorithms formulated from the analysis of driver EEG…
- Participants
- 17
- Channels
- 64 (10-10)
- HED
- v8.0.0
- Size
- 20.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
22 results for "driver fatigue" · page 1 of 3 · ranked by relevance
…driver fatigue via predictive algorithms formulated from the analysis of driver EEG…
…driver fatigue via predictive algorithms formulated from the analysis of driver EEG…
…driver fatigue via predictive algorithms formulated from the analysis of driver EEG…
…driver fatigue via predictive algorithms formulated from the analysis of driver EEG…
…calibration data for applying fatigue-based driver performance prediction algorithms. Calibration data…
…The Baseline Driving study was intended to identify periods of driver fatigue…
This fNIRS neuroimaging dataset captures prefrontal cortex activity from 20 participants during 14 types of highly automated driving scenarios in a simulator environment. The study examines risk cognition in passengers across different age groups, sexes, and driving experience levels using an 8-channel fNIRS device. The dataset aims to identify differences in prefrontal cortex activation between low-risk and high-risk driving episodes to support safety-of-the-intended-functionality (SOTIF) improvements and brain-computer interface applications.
…A score ≤ 30 is conventionally considered indicative of clinically relevant fatigue (Piper…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005416-blue…
…6 training + 24 fatigue blocks per frequency condition ## Preprocessing - **Data state**: epoched…