Annotations directory

  1. Di Stasi, Leandro L.
  2. Angioi, Francesco
  3. Costa Fernandes, Marcelo A.
  4. Caurcel-Cara, María Jesús
  5. Prat, Christophe
  6. Sodnik, Jaka
  7. Díaz-Piedra, Carolina

Editor: Figshare+

Año de publicación: 2024

Tipo: Dataset

CC BY-NC 4.0

Resumen

<b>Directory content</b>: This directory contains 21 .CSV files reporting the data about 23 specific drivers’ mannerisms and behaviors (e.g., rubbing/holding face, yawning) observed during the driving session (ID_Number_LabelData).<b>Method and instruments</b>: To collect the annotation data, two trained and independent raters employed a customized video analysis tool (HADRIAN’s EYE software; Di Stasi et al., 2023) to identify and annotate drivers’ fatigue- and sleepiness-related mannerisms and behaviors. The tool allows the synchronized reproduction of the videos obtained through the RGB camera (for further details, see RGB and Depth videos directory) and the recording of the main central screen of the simulator (for further details, see Driving simulator indices directory). Both videos were automatically divided by the HADRIAN’s EYE software into a series of 5-min 39 chunks that were then shuffled and presented to the raters in a randomized order to minimize bias (e.g., overestimating the level of fatigue towards the end of the experimental session). Then, a customized Matlab code (Mathworks Inc., Natick, MA, USA) was used to detect discrepancies in the outputs of the two raters. Two types of discrepancies were detected: (i) type, and (ii) timing of the detected mannerism/behavior. Finally, in case of discrepancies, a third independent rater reviewed the videos to solve the issue.