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
Link To Document :
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