Automatic extraction of deceptive behavioral cues from video

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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)
Title of host publicationLecture Notes in Computer Science
EditorsP. Kantor, G. Muresan, F. Roberts, D.D. Zeng, F.-Y. Wang, H. Chen, R.C. Merkle
Pages198-208
Number of pages11
Volume3495
Publication statusPublished - 2005
EventIEEE International Conference on Intelligence and Security Informatics, ISI 2005 - Atlanta, GA, United States
Duration: May 19 2005May 20 2005

Other

OtherIEEE International Conference on Intelligence and Security Informatics, ISI 2005
CountryUnited States
CityAtlanta, GA
Period5/19/055/20/05

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ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this

Meservy, T. O., Jensen, M. L., Kruse, J., Burgoon, J. K., & Nunamaker, J. F. (2005). Automatic extraction of deceptive behavioral cues from video. In P. Kantor, G. Muresan, F. Roberts, D. D. Zeng, F-Y. Wang, H. Chen, & R. C. Merkle (Eds.), Lecture Notes in Computer Science (Vol. 3495, pp. 198-208)