Blob Analysis of the Head and Hands: A Method for Deception Detection
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 1 - Volume 01
An Approach for Intent Identification by Building on Deception Detection
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 1 - Volume 01
Detecting deception through linguistic analysis
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
Deception Detection through Automatic, Unobtrusive Analysis of Nonverbal Behavior
IEEE Intelligent Systems
Judging the Credibility of Information Gathered from Face-to-Face Interactions
Journal of Data and Information Quality (JDIQ)
Motion profiles for deception detection using visual cues
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Technology Dominance in Complex Decision Making: The Case of Aided Credibility Assessment
Journal of Management Information Systems
Move, and i will tell you who you are: detecting deceptive roles in low-quality data
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
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This research initiative is an initial investigation into a novel approach for deriving indicators of deception from video-taped interaction. The team utilized two-dimensional spatial inputs extracted from video to construct a set of discrete and inter-relational features. The features for thirty-eight video interactions were then analyzed using discriminant analysis. Additionally, features were used to build a multivariate regression model. Through this exploratory study, the team established the validity of the approach, and identified a number of promising features, opening the door for further investigation.