Automatic extraction of deceptive behavioral cues from video

Thomas O. Meservy, Matthew L. Jensen, John Kruse, Judee K. Burgoon, Jay F. Nunamaker

Research output: Contribution to journalConference article

13 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)198-208
Number of pages11
JournalLECTURE NOTES IN COMPUTER SCIENCE
Volume3495
StatePublished - Sep 26 2005
EventIEEE International Conference on Intelligence and Security Informatics, ISI 2005 - Atlanta, GA, United States
Duration: May 19 2005May 20 2005

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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