Drowsiness - Tauvic/DriverAwareness GitHub Wiki

Note: Should we monitor drowsiness by ocular data, by driver activity or both

Challenges: wearing glasses and Sun glasses

sensors:

  • Regular camera
  • Low light
  • Near infrared camera
  • Time of flight camera
  • Stereo / depth camera

Face recognition variations:

  • Pose
  • Illumination
  • Expression
  • Occlusion
  • Gender
  • Background
  • Ethnicity
  • Age
  • Eye
  • Appearance

Publications

  • François C., et al. (2017). Relationship between brain activity and ocular movements during wakefulness and drowsiness. World Sleep Congress 2017, Prague, 2017
  • François C., et al. (2016). Objective drowsiness monitoring to assess fitness for duty. 23rd Congress of the European Sleep Research Society, Bologna, 2016
  • François C., et al. (2016). Tests of a new drowsiness characterization and monitoring system based on ocular parameters. International Journal of Environmental Research and Public Health, 13(2), 174
  • François C., et al. (2014). Evaluation of the performance of an experimental somnolence quantification system in terms of reaction times and lapses. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, 2014, pp. 5820-5823
  • Wertz J., et al. (2014). Validation of a new automatic drowsiness quantification system for drivers. 5th International Conference on Applied Human Factors and Ergonomics (AHFE), Krakow, 2014.

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