Multimodal Phenotyping Dataset of Driving Fatigue.

ABSTRACT: Driving fatigue analysis using multimodal physiological signals has become a growing focus in human factor engineering research. We introduce the Multimodal Phenotyping Dataset of Driving Fatigue (MPD-DF), a public resource comprising data from 50 participants (35 females and 15 males) during a standardized 2-hour simulated driving task. The dataset includes multidimensional subjective and objective metrics for fatigue assessment, comprising multimodal physiological recordings (32-channel electroencephalogram, single-lead electrocardiogram, dual-channel electrooculogram, and thoracic respiratory effort signals), fatigue-associated questionnaire results, and expert physician annotations of fatigue levels. To the best of our knowledge, it contains the largest number of signal modalities and

SUBMITTER: Li J 

PROVIDER: S-EPMC12929719 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature