Personalized Driver Distraction Detection: Preprocessed Multimodal Physiological Signals (EEG, GSR, HR) from Simulated Driving Experiment

EEG, GSR, and HR signals from 50 participants during simulated driving. Two files per participant (normal and cognitive load conditions), provided as a single ZIP archive. Signals recorded using Emotiv EPOC+ (14 channel EEG, 128Hz), Shimmer3 GSR+, and Polar H10 chest strap. Cognitive load induced via backward counting task (decrement by 7). Data collected under ECU Human Research Ethics Committee approval (HREC No. 2023-04542-APONSO). Participant identity was not recorded. All data inherently anonymised with numeric labels only. Associated publication: "Driver Distraction Detection using Personalized Machine Learning", Aponso, Speelman, Johnstone. Submitted to IEEE Access, 2026.