• DocumentCode
    724711
  • Title

    Perinasal indicators of malevolence

  • Author

    Dcosta, Malcolm ; Shastri, Dvijesh ; Pavlidis, Ioannis

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Houston, Houston, TX, USA
  • fYear
    2015
  • fDate
    4-8 May 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Several decades of research into detecting lies has resulted in a large number of available of techniques among both behavioral and physiological channels. However only in the recent past, have researchers started to focus more on ways to detect ill-intent. Persons lying under high stakes situations show detectable changes in behavior. Similarly while lying to conceal ones true intent, one exhibits similar characteristics. This work presents a fast, convenient and discrete way of monitoring facial physiology using thermal imaging to detect when a person is lying about their intentions. Its application is suitable for screening in airports, border crossing and other venues with large transit volumes.
  • Keywords
    behavioural sciences computing; face recognition; infrared imaging; physiology; behavioral channels; facial physiology monitoring; ill-intent detection; lie detection; perinasal indicators of malevolence; physiological channels; thermal imaging; Biomedical monitoring; Face; Imaging; Noise; Organizations; Stress; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Face and Gesture Recognition (FG), 2015 11th IEEE International Conference and Workshops on
  • Conference_Location
    Ljubljana
  • Type

    conf

  • DOI
    10.1109/FG.2015.7163163
  • Filename
    7163163