• DocumentCode
    2228518
  • Title

    Non intrusive physiological measurement for driver cognitive distraction detection: Eye and mouth movements

  • Author

    Azman, Afizan ; Meng, Qinggang ; Edirisinghe, Eran

  • Author_Institution
    Res. Sch. of Inf., Loughborough Univ., Loughborough, UK
  • Volume
    3
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    Driver distractions can be categorized into 3 major parts:-visual, cognitive and manual. Visual and manual distraction on a driver can be physically detected. However, assessing cognitive distraction is difficult since it is more of an “internal” distraction rather than any easily measured “external” distraction. There are several methods available that can be used to detect cognitive driver distraction. Physiological measurements, performance measures (primary and secondary tasks) and rating scales are some of the well-known measures to detect cognitive distraction. This study focused on physiological measurements, specifically on a driver´s eye and mouth movements. Six different participants were involved in our experiment. The duration of the experiment was 8 minutes and 49 seconds for each participant. Eye and mouth movements were obtained using the FaceLab Seeing Machine cameras and their magnitude of the r-values were found more than 60% thus proving that they are strongly correlated to each other.
  • Keywords
    biomechanics; biomedical measurement; cognition; computer vision; driver information systems; eye; medical image processing; physiology; FaceLab Seeing Machine cameras; driver cognitive distraction detection; external distraction; eye movements; internal distraction; mouth movements; nonintrusive physiological measurement; r-values; Atmospheric measurements; Manuals; Mouth; Particle measurements; Bayesian Network; Cognitive distraction; Driving Safety; Pearson-r Correlation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5579547
  • Filename
    5579547