• DocumentCode
    260928
  • Title

    Physiological measurement used in real time experiment to detect driver cognitive distraction

  • Author

    Azman, A. ; Ibrahim, S.Z. ; Qinggang Meng ; Edirisinghe, Eran A.

  • Author_Institution
    Fac. of Inf. Sci. & Technol., Multimedia Univ., Jalan Ayer Keroh Lama, Malaysia
  • fYear
    2014
  • fDate
    15-18 Jan. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper discusses about lips and eyebrows are used to detect driver cognitive distraction by using faceAPI toolkit. A few number of classification algorithms like Support Vector Machine (SVM), Logistic Regression (LR) and Static Bayesian Network (SBN) and Dynamic Bayesian Network (DBN) have been used for accuracy rate comparison.
  • Keywords
    cognition; driver information systems; face recognition; pattern classification; physiology; DBN; SBN; SVM; classification algorithms; driver cognitive distraction detection; dynamic Bayesian network; faceAPI toolkit; logistic regression; physiological measurement; real time experiment; static Bayesian network; support vector machine; Bayes methods; Classification algorithms; Eyebrows; Lips; Roads; Support vector machines; Vehicles; FLM; Lips & Eyebrows; classification algorithm; faceAPI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Information and Communications (ICEIC), 2014 International Conference on
  • Conference_Location
    Kota Kinabalu
  • Type

    conf

  • DOI
    10.1109/ELINFOCOM.2014.6914389
  • Filename
    6914389
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=260928