Deception Detection through Automatic, Unobtrusive Analysis of Nonverbal Behavior
IEEE Intelligent Systems
Tracking hand and finger movements for behaviour analysis
Pattern Recognition Letters
Tracking hand and finger movements for behaviour analysis
Pattern Recognition Letters - Special issue on vision for crime detection and prevention
Detecting concealment of intent in transportation screening: a proof of concept
IEEE Transactions on Intelligent Transportation Systems
Judging the Credibility of Information Gathered from Face-to-Face Interactions
Journal of Data and Information Quality (JDIQ)
Visual affect recognition
Motion profiles for deception detection using visual cues
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Dynamically adaptive tracking of gestures and facial expressions
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Automatic extraction of deceptive behavioral cues from video
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
A review of motion analysis methods for human Nonverbal Communication Computing
Image and Vision Computing
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Behavioral indicators of deception and behavioral state are extremely difficult for humans to analyze. Blob analysis, a method for analyzing the movement of the head and hands based on the identification of skin color is presented. This method is validated with numerous skin tones. A proof-of-concept study is presented that uses blob analysis to explore behavioral state identification in the detection of deception.